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@@ -0,0 +1,2986 @@
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+#pragma once
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+
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+// Python headers must be included before any system headers, since
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+// they define _POSIX_C_SOURCE
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+#include <Python.h>
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+
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+#include <vector>
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+#include <map>
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+#include <array>
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+#include <numeric>
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+#include <algorithm>
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+#include <stdexcept>
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+#include <iostream>
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+#include <cstdint> // <cstdint> requires c++11 support
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+#include <functional>
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+#include <string> // std::stod
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+
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+#ifndef WITHOUT_NUMPY
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+# define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
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+# include <numpy/arrayobject.h>
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+
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+# ifdef WITH_OPENCV
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+# include <opencv2/opencv.hpp>
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+# endif // WITH_OPENCV
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+
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+/*
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+ * A bunch of constants were removed in OpenCV 4 in favour of enum classes, so
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+ * define the ones we need here.
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+ */
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+# if CV_MAJOR_VERSION > 3
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+# define CV_BGR2RGB cv::COLOR_BGR2RGB
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+# define CV_BGRA2RGBA cv::COLOR_BGRA2RGBA
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+# endif
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+#endif // WITHOUT_NUMPY
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+
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+#if PY_MAJOR_VERSION >= 3
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+# define PyString_FromString PyUnicode_FromString
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+# define PyInt_FromLong PyLong_FromLong
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+# define PyString_FromString PyUnicode_FromString
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+#endif
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+
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+
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+namespace matplotlibcpp {
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+namespace detail {
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+
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+static std::string s_backend;
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+
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+struct _interpreter {
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+ PyObject* s_python_function_arrow;
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+ PyObject *s_python_function_show;
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+ PyObject *s_python_function_close;
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+ PyObject *s_python_function_draw;
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+ PyObject *s_python_function_pause;
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+ PyObject *s_python_function_save;
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+ PyObject *s_python_function_figure;
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+ PyObject *s_python_function_fignum_exists;
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+ PyObject *s_python_function_plot;
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+ PyObject *s_python_function_quiver;
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+ PyObject* s_python_function_contour;
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+ PyObject *s_python_function_semilogx;
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+ PyObject *s_python_function_semilogy;
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+ PyObject *s_python_function_loglog;
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+ PyObject *s_python_function_fill;
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+ PyObject *s_python_function_fill_between;
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+ PyObject *s_python_function_hist;
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+ PyObject *s_python_function_imshow;
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+ PyObject *s_python_function_scatter;
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+ PyObject *s_python_function_boxplot;
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+ PyObject *s_python_function_subplot;
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+ PyObject *s_python_function_subplot2grid;
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+ PyObject *s_python_function_legend;
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+ PyObject *s_python_function_xlim;
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+ PyObject *s_python_function_ion;
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+ PyObject *s_python_function_ginput;
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+ PyObject *s_python_function_ylim;
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+ PyObject *s_python_function_title;
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+ PyObject *s_python_function_axis;
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+ PyObject *s_python_function_axhline;
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+ PyObject *s_python_function_axvline;
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+ PyObject *s_python_function_axvspan;
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+ PyObject *s_python_function_xlabel;
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+ PyObject *s_python_function_ylabel;
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+ PyObject *s_python_function_gca;
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+ PyObject *s_python_function_xticks;
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+ PyObject *s_python_function_yticks;
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+ PyObject* s_python_function_margins;
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+ PyObject *s_python_function_tick_params;
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+ PyObject *s_python_function_grid;
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+ PyObject* s_python_function_cla;
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+ PyObject *s_python_function_clf;
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+ PyObject *s_python_function_errorbar;
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+ PyObject *s_python_function_annotate;
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+ PyObject *s_python_function_tight_layout;
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+ PyObject *s_python_colormap;
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+ PyObject *s_python_empty_tuple;
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+ PyObject *s_python_function_stem;
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+ PyObject *s_python_function_xkcd;
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+ PyObject *s_python_function_text;
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+ PyObject *s_python_function_suptitle;
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+ PyObject *s_python_function_bar;
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+ PyObject *s_python_function_barh;
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+ PyObject *s_python_function_colorbar;
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+ PyObject *s_python_function_subplots_adjust;
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+ PyObject *s_python_function_rcparams;
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+ PyObject *s_python_function_spy;
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+
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+ /* For now, _interpreter is implemented as a singleton since its currently not possible to have
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+ multiple independent embedded python interpreters without patching the python source code
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+ or starting a separate process for each. [1]
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+ Furthermore, many python objects expect that they are destructed in the same thread as they
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+ were constructed. [2] So for advanced usage, a `kill()` function is provided so that library
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+ users can manually ensure that the interpreter is constructed and destroyed within the
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+ same thread.
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+
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+ 1: http://bytes.com/topic/python/answers/793370-multiple-independent-python-interpreters-c-c-program
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+ 2: https://github.com/lava/matplotlib-cpp/pull/202#issue-436220256
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+ */
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+
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+ static _interpreter& get() {
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+ return interkeeper(false);
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+ }
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+
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+ static _interpreter& kill() {
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+ return interkeeper(true);
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+ }
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+
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+ // Stores the actual singleton object referenced by `get()` and `kill()`.
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+ static _interpreter& interkeeper(bool should_kill) {
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+ static _interpreter ctx;
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+ if (should_kill)
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+ ctx.~_interpreter();
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+ return ctx;
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+ }
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+
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+ PyObject* safe_import(PyObject* module, std::string fname) {
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+ PyObject* fn = PyObject_GetAttrString(module, fname.c_str());
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+
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+ if (!fn)
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+ throw std::runtime_error(std::string("Couldn't find required function: ") + fname);
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+
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+ if (!PyFunction_Check(fn))
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+ throw std::runtime_error(fname + std::string(" is unexpectedly not a PyFunction."));
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+
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+ return fn;
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+ }
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+
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+private:
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+
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+#ifndef WITHOUT_NUMPY
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+# if PY_MAJOR_VERSION >= 3
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+
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+ void *import_numpy() {
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+ import_array(); // initialize C-API
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+ return NULL;
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+ }
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+
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+# else
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+
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+ void import_numpy() {
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+ import_array(); // initialize C-API
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+ }
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+
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+# endif
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+#endif
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+
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+ _interpreter() {
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+
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+ // optional but recommended
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+#if PY_MAJOR_VERSION >= 3
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+ wchar_t name[] = L"plotting";
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+#else
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+ char name[] = "plotting";
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+#endif
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+ Py_SetProgramName(name);
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+ Py_Initialize();
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+
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+ wchar_t const *dummy_args[] = {L"Python", NULL}; // const is needed because literals must not be modified
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+ wchar_t const **argv = dummy_args;
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+ int argc = sizeof(dummy_args)/sizeof(dummy_args[0])-1;
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+
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+#if PY_MAJOR_VERSION >= 3
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+ PySys_SetArgv(argc, const_cast<wchar_t **>(argv));
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+#else
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+ PySys_SetArgv(argc, (char **)(argv));
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+#endif
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+
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+#ifndef WITHOUT_NUMPY
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+ import_numpy(); // initialize numpy C-API
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+#endif
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+
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+ PyObject* matplotlibname = PyString_FromString("matplotlib");
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+ PyObject* pyplotname = PyString_FromString("matplotlib.pyplot");
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+ PyObject* cmname = PyString_FromString("matplotlib.cm");
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+ PyObject* pylabname = PyString_FromString("pylab");
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+ if (!pyplotname || !pylabname || !matplotlibname || !cmname) {
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+ throw std::runtime_error("couldnt create string");
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+ }
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+
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+ PyObject* matplotlib = PyImport_Import(matplotlibname);
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+
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+ Py_DECREF(matplotlibname);
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+ if (!matplotlib) {
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+ PyErr_Print();
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+ throw std::runtime_error("Error loading module matplotlib!");
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+ }
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+
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+ // matplotlib.use() must be called *before* pylab, matplotlib.pyplot,
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+ // or matplotlib.backends is imported for the first time
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+ if (!s_backend.empty()) {
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+ PyObject_CallMethod(matplotlib, const_cast<char*>("use"), const_cast<char*>("s"), s_backend.c_str());
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+ }
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+
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+
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+
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+ PyObject* pymod = PyImport_Import(pyplotname);
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+ Py_DECREF(pyplotname);
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+ if (!pymod) { throw std::runtime_error("Error loading module matplotlib.pyplot!"); }
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+
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+ s_python_colormap = PyImport_Import(cmname);
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+ Py_DECREF(cmname);
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+ if (!s_python_colormap) { throw std::runtime_error("Error loading module matplotlib.cm!"); }
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+
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+ PyObject* pylabmod = PyImport_Import(pylabname);
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+ Py_DECREF(pylabname);
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+ if (!pylabmod) { throw std::runtime_error("Error loading module pylab!"); }
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+
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+ s_python_function_arrow = safe_import(pymod, "arrow");
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+ s_python_function_show = safe_import(pymod, "show");
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+ s_python_function_close = safe_import(pymod, "close");
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+ s_python_function_draw = safe_import(pymod, "draw");
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+ s_python_function_pause = safe_import(pymod, "pause");
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+ s_python_function_figure = safe_import(pymod, "figure");
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+ s_python_function_fignum_exists = safe_import(pymod, "fignum_exists");
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+ s_python_function_plot = safe_import(pymod, "plot");
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+ s_python_function_quiver = safe_import(pymod, "quiver");
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+ s_python_function_contour = safe_import(pymod, "contour");
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+ s_python_function_semilogx = safe_import(pymod, "semilogx");
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+ s_python_function_semilogy = safe_import(pymod, "semilogy");
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+ s_python_function_loglog = safe_import(pymod, "loglog");
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+ s_python_function_fill = safe_import(pymod, "fill");
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+ s_python_function_fill_between = safe_import(pymod, "fill_between");
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+ s_python_function_hist = safe_import(pymod,"hist");
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+ s_python_function_scatter = safe_import(pymod,"scatter");
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+ s_python_function_boxplot = safe_import(pymod,"boxplot");
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+ s_python_function_subplot = safe_import(pymod, "subplot");
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+ s_python_function_subplot2grid = safe_import(pymod, "subplot2grid");
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+ s_python_function_legend = safe_import(pymod, "legend");
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+ s_python_function_xlim = safe_import(pymod, "xlim");
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+ s_python_function_ylim = safe_import(pymod, "ylim");
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+ s_python_function_title = safe_import(pymod, "title");
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+ s_python_function_axis = safe_import(pymod, "axis");
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+ s_python_function_axhline = safe_import(pymod, "axhline");
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+ s_python_function_axvline = safe_import(pymod, "axvline");
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+ s_python_function_axvspan = safe_import(pymod, "axvspan");
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+ s_python_function_xlabel = safe_import(pymod, "xlabel");
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+ s_python_function_ylabel = safe_import(pymod, "ylabel");
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+ s_python_function_gca = safe_import(pymod, "gca");
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+ s_python_function_xticks = safe_import(pymod, "xticks");
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+ s_python_function_yticks = safe_import(pymod, "yticks");
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+ s_python_function_margins = safe_import(pymod, "margins");
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+ s_python_function_tick_params = safe_import(pymod, "tick_params");
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+ s_python_function_grid = safe_import(pymod, "grid");
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+ s_python_function_ion = safe_import(pymod, "ion");
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+ s_python_function_ginput = safe_import(pymod, "ginput");
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+ s_python_function_save = safe_import(pylabmod, "savefig");
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+ s_python_function_annotate = safe_import(pymod,"annotate");
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+ s_python_function_cla = safe_import(pymod, "cla");
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+ s_python_function_clf = safe_import(pymod, "clf");
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+ s_python_function_errorbar = safe_import(pymod, "errorbar");
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+ s_python_function_tight_layout = safe_import(pymod, "tight_layout");
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+ s_python_function_stem = safe_import(pymod, "stem");
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+ s_python_function_xkcd = safe_import(pymod, "xkcd");
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+ s_python_function_text = safe_import(pymod, "text");
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+ s_python_function_suptitle = safe_import(pymod, "suptitle");
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+ s_python_function_bar = safe_import(pymod,"bar");
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+ s_python_function_barh = safe_import(pymod, "barh");
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+ s_python_function_colorbar = PyObject_GetAttrString(pymod, "colorbar");
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+ s_python_function_subplots_adjust = safe_import(pymod,"subplots_adjust");
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+ s_python_function_rcparams = PyObject_GetAttrString(pymod, "rcParams");
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+ s_python_function_spy = PyObject_GetAttrString(pymod, "spy");
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+#ifndef WITHOUT_NUMPY
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+ s_python_function_imshow = safe_import(pymod, "imshow");
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+#endif
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+ s_python_empty_tuple = PyTuple_New(0);
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+ }
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+
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+ ~_interpreter() {
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+ Py_Finalize();
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+ }
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+};
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+
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+} // end namespace detail
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+
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+/// Select the backend
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+///
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+/// **NOTE:** This must be called before the first plot command to have
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+/// any effect.
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+///
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+/// Mainly useful to select the non-interactive 'Agg' backend when running
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+/// matplotlibcpp in headless mode, for example on a machine with no display.
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+///
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+/// See also: https://matplotlib.org/2.0.2/api/matplotlib_configuration_api.html#matplotlib.use
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+inline void backend(const std::string& name)
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+{
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+ detail::s_backend = name;
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+}
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+
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+inline bool annotate(std::string annotation, double x, double y)
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+{
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+ detail::_interpreter::get();
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+
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+ PyObject * xy = PyTuple_New(2);
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+ PyObject * str = PyString_FromString(annotation.c_str());
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+
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+ PyTuple_SetItem(xy,0,PyFloat_FromDouble(x));
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+ PyTuple_SetItem(xy,1,PyFloat_FromDouble(y));
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+
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+ PyObject* kwargs = PyDict_New();
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+ PyDict_SetItemString(kwargs, "xy", xy);
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+
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+ PyObject* args = PyTuple_New(1);
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+ PyTuple_SetItem(args, 0, str);
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+
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+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_annotate, args, kwargs);
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+
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+ Py_DECREF(args);
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+ Py_DECREF(kwargs);
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+
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+ if(res) Py_DECREF(res);
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+
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+ return res;
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+}
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+
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+namespace detail {
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+
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+#ifndef WITHOUT_NUMPY
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+// Type selector for numpy array conversion
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+template <typename T> struct select_npy_type { const static NPY_TYPES type = NPY_NOTYPE; }; //Default
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+template <> struct select_npy_type<double> { const static NPY_TYPES type = NPY_DOUBLE; };
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+template <> struct select_npy_type<float> { const static NPY_TYPES type = NPY_FLOAT; };
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+template <> struct select_npy_type<bool> { const static NPY_TYPES type = NPY_BOOL; };
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+template <> struct select_npy_type<int8_t> { const static NPY_TYPES type = NPY_INT8; };
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+template <> struct select_npy_type<int16_t> { const static NPY_TYPES type = NPY_SHORT; };
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+template <> struct select_npy_type<int32_t> { const static NPY_TYPES type = NPY_INT; };
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+template <> struct select_npy_type<int64_t> { const static NPY_TYPES type = NPY_INT64; };
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+template <> struct select_npy_type<uint8_t> { const static NPY_TYPES type = NPY_UINT8; };
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+template <> struct select_npy_type<uint16_t> { const static NPY_TYPES type = NPY_USHORT; };
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+template <> struct select_npy_type<uint32_t> { const static NPY_TYPES type = NPY_ULONG; };
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+template <> struct select_npy_type<uint64_t> { const static NPY_TYPES type = NPY_UINT64; };
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+
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+// Sanity checks; comment them out or change the numpy type below if you're compiling on
|
|
|
+// a platform where they don't apply
|
|
|
+static_assert(sizeof(long long) == 8);
|
|
|
+template <> struct select_npy_type<long long> { const static NPY_TYPES type = NPY_INT64; };
|
|
|
+static_assert(sizeof(unsigned long long) == 8);
|
|
|
+template <> struct select_npy_type<unsigned long long> { const static NPY_TYPES type = NPY_UINT64; };
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+PyObject* get_array(const std::vector<Numeric>& v)
|
|
|
+{
|
|
|
+ npy_intp vsize = v.size();
|
|
|
+ NPY_TYPES type = select_npy_type<Numeric>::type;
|
|
|
+ if (type == NPY_NOTYPE) {
|
|
|
+ size_t memsize = v.size()*sizeof(double);
|
|
|
+ double* dp = static_cast<double*>(::malloc(memsize));
|
|
|
+ for (size_t i=0; i<v.size(); ++i)
|
|
|
+ dp[i] = v[i];
|
|
|
+ PyObject* varray = PyArray_SimpleNewFromData(1, &vsize, NPY_DOUBLE, dp);
|
|
|
+ PyArray_UpdateFlags(reinterpret_cast<PyArrayObject*>(varray), NPY_ARRAY_OWNDATA);
|
|
|
+ return varray;
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* varray = PyArray_SimpleNewFromData(1, &vsize, type, (void*)(v.data()));
|
|
|
+ return varray;
|
|
|
+}
|
|
|
+
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+PyObject* get_2darray(const std::vector<::std::vector<Numeric>>& v)
|
|
|
+{
|
|
|
+ if (v.size() < 1) throw std::runtime_error("get_2d_array v too small");
|
|
|
+
|
|
|
+ npy_intp vsize[2] = {static_cast<npy_intp>(v.size()),
|
|
|
+ static_cast<npy_intp>(v[0].size())};
|
|
|
+
|
|
|
+ PyArrayObject *varray =
|
|
|
+ (PyArrayObject *)PyArray_SimpleNew(2, vsize, NPY_DOUBLE);
|
|
|
+
|
|
|
+ double *vd_begin = static_cast<double *>(PyArray_DATA(varray));
|
|
|
+
|
|
|
+ for (const ::std::vector<Numeric> &v_row : v) {
|
|
|
+ if (v_row.size() != static_cast<size_t>(vsize[1]))
|
|
|
+ throw std::runtime_error("Missmatched array size");
|
|
|
+ std::copy(v_row.begin(), v_row.end(), vd_begin);
|
|
|
+ vd_begin += vsize[1];
|
|
|
+ }
|
|
|
+
|
|
|
+ return reinterpret_cast<PyObject *>(varray);
|
|
|
+}
|
|
|
+
|
|
|
+#else // fallback if we don't have numpy: copy every element of the given vector
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+PyObject* get_array(const std::vector<Numeric>& v)
|
|
|
+{
|
|
|
+ PyObject* list = PyList_New(v.size());
|
|
|
+ for(size_t i = 0; i < v.size(); ++i) {
|
|
|
+ PyList_SetItem(list, i, PyFloat_FromDouble(v.at(i)));
|
|
|
+ }
|
|
|
+ return list;
|
|
|
+}
|
|
|
+
|
|
|
+#endif // WITHOUT_NUMPY
|
|
|
+
|
|
|
+// sometimes, for labels and such, we need string arrays
|
|
|
+inline PyObject * get_array(const std::vector<std::string>& strings)
|
|
|
+{
|
|
|
+ PyObject* list = PyList_New(strings.size());
|
|
|
+ for (std::size_t i = 0; i < strings.size(); ++i) {
|
|
|
+ PyList_SetItem(list, i, PyString_FromString(strings[i].c_str()));
|
|
|
+ }
|
|
|
+ return list;
|
|
|
+}
|
|
|
+
|
|
|
+// not all matplotlib need 2d arrays, some prefer lists of lists
|
|
|
+template<typename Numeric>
|
|
|
+PyObject* get_listlist(const std::vector<std::vector<Numeric>>& ll)
|
|
|
+{
|
|
|
+ PyObject* listlist = PyList_New(ll.size());
|
|
|
+ for (std::size_t i = 0; i < ll.size(); ++i) {
|
|
|
+ PyList_SetItem(listlist, i, get_array(ll[i]));
|
|
|
+ }
|
|
|
+ return listlist;
|
|
|
+}
|
|
|
+
|
|
|
+} // namespace detail
|
|
|
+
|
|
|
+/// Plot a line through the given x and y data points..
|
|
|
+///
|
|
|
+/// See: https://matplotlib.org/3.2.1/api/_as_gen/matplotlib.pyplot.plot.html
|
|
|
+template<typename Numeric>
|
|
|
+bool plot(const std::vector<Numeric> &x, const std::vector<Numeric> &y, const std::map<std::string, std::string>& keywords)
|
|
|
+{
|
|
|
+ assert(x.size() == y.size());
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // using numpy arrays
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ // construct positional args
|
|
|
+ PyObject* args = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(args, 0, xarray);
|
|
|
+ PyTuple_SetItem(args, 1, yarray);
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for(std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_plot, args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+// TODO - it should be possible to make this work by implementing
|
|
|
+// a non-numpy alternative for `detail::get_2darray()`.
|
|
|
+#ifndef WITHOUT_NUMPY
|
|
|
+template <typename Numeric>
|
|
|
+void plot_surface(const std::vector<::std::vector<Numeric>> &x,
|
|
|
+ const std::vector<::std::vector<Numeric>> &y,
|
|
|
+ const std::vector<::std::vector<Numeric>> &z,
|
|
|
+ const std::map<std::string, std::string> &keywords =
|
|
|
+ std::map<std::string, std::string>(),
|
|
|
+ const long fig_number=0)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // We lazily load the modules here the first time this function is called
|
|
|
+ // because I'm not sure that we can assume "matplotlib installed" implies
|
|
|
+ // "mpl_toolkits installed" on all platforms, and we don't want to require
|
|
|
+ // it for people who don't need 3d plots.
|
|
|
+ static PyObject *mpl_toolkitsmod = nullptr, *axis3dmod = nullptr;
|
|
|
+ if (!mpl_toolkitsmod) {
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* mpl_toolkits = PyString_FromString("mpl_toolkits");
|
|
|
+ PyObject* axis3d = PyString_FromString("mpl_toolkits.mplot3d");
|
|
|
+ if (!mpl_toolkits || !axis3d) { throw std::runtime_error("couldnt create string"); }
|
|
|
+
|
|
|
+ mpl_toolkitsmod = PyImport_Import(mpl_toolkits);
|
|
|
+ Py_DECREF(mpl_toolkits);
|
|
|
+ if (!mpl_toolkitsmod) { throw std::runtime_error("Error loading module mpl_toolkits!"); }
|
|
|
+
|
|
|
+ axis3dmod = PyImport_Import(axis3d);
|
|
|
+ Py_DECREF(axis3d);
|
|
|
+ if (!axis3dmod) { throw std::runtime_error("Error loading module mpl_toolkits.mplot3d!"); }
|
|
|
+ }
|
|
|
+
|
|
|
+ assert(x.size() == y.size());
|
|
|
+ assert(y.size() == z.size());
|
|
|
+
|
|
|
+ // using numpy arrays
|
|
|
+ PyObject *xarray = detail::get_2darray(x);
|
|
|
+ PyObject *yarray = detail::get_2darray(y);
|
|
|
+ PyObject *zarray = detail::get_2darray(z);
|
|
|
+
|
|
|
+ // construct positional args
|
|
|
+ PyObject *args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(args, 0, xarray);
|
|
|
+ PyTuple_SetItem(args, 1, yarray);
|
|
|
+ PyTuple_SetItem(args, 2, zarray);
|
|
|
+
|
|
|
+ // Build up the kw args.
|
|
|
+ PyObject *kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(kwargs, "rstride", PyInt_FromLong(1));
|
|
|
+ PyDict_SetItemString(kwargs, "cstride", PyInt_FromLong(1));
|
|
|
+
|
|
|
+ PyObject *python_colormap_coolwarm = PyObject_GetAttrString(
|
|
|
+ detail::_interpreter::get().s_python_colormap, "coolwarm");
|
|
|
+
|
|
|
+ PyDict_SetItemString(kwargs, "cmap", python_colormap_coolwarm);
|
|
|
+
|
|
|
+ for (std::map<std::string, std::string>::const_iterator it = keywords.begin();
|
|
|
+ it != keywords.end(); ++it) {
|
|
|
+ if (it->first == "linewidth" || it->first == "alpha") {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(),
|
|
|
+ PyFloat_FromDouble(std::stod(it->second)));
|
|
|
+ } else {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(),
|
|
|
+ PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject *fig_args = PyTuple_New(1);
|
|
|
+ PyObject* fig = nullptr;
|
|
|
+ PyTuple_SetItem(fig_args, 0, PyLong_FromLong(fig_number));
|
|
|
+ PyObject *fig_exists =
|
|
|
+ PyObject_CallObject(
|
|
|
+ detail::_interpreter::get().s_python_function_fignum_exists, fig_args);
|
|
|
+ if (!PyObject_IsTrue(fig_exists)) {
|
|
|
+ fig = PyObject_CallObject(detail::_interpreter::get().s_python_function_figure,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+ } else {
|
|
|
+ fig = PyObject_CallObject(detail::_interpreter::get().s_python_function_figure,
|
|
|
+ fig_args);
|
|
|
+ }
|
|
|
+ Py_DECREF(fig_exists);
|
|
|
+ if (!fig) throw std::runtime_error("Call to figure() failed.");
|
|
|
+
|
|
|
+ PyObject *gca_kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(gca_kwargs, "projection", PyString_FromString("3d"));
|
|
|
+
|
|
|
+ PyObject *gca = PyObject_GetAttrString(fig, "gca");
|
|
|
+ if (!gca) throw std::runtime_error("No gca");
|
|
|
+ Py_INCREF(gca);
|
|
|
+ PyObject *axis = PyObject_Call(
|
|
|
+ gca, detail::_interpreter::get().s_python_empty_tuple, gca_kwargs);
|
|
|
+
|
|
|
+ if (!axis) throw std::runtime_error("No axis");
|
|
|
+ Py_INCREF(axis);
|
|
|
+
|
|
|
+ Py_DECREF(gca);
|
|
|
+ Py_DECREF(gca_kwargs);
|
|
|
+
|
|
|
+ PyObject *plot_surface = PyObject_GetAttrString(axis, "plot_surface");
|
|
|
+ if (!plot_surface) throw std::runtime_error("No surface");
|
|
|
+ Py_INCREF(plot_surface);
|
|
|
+ PyObject *res = PyObject_Call(plot_surface, args, kwargs);
|
|
|
+ if (!res) throw std::runtime_error("failed surface");
|
|
|
+ Py_DECREF(plot_surface);
|
|
|
+
|
|
|
+ Py_DECREF(axis);
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+template <typename Numeric>
|
|
|
+void contour(const std::vector<::std::vector<Numeric>> &x,
|
|
|
+ const std::vector<::std::vector<Numeric>> &y,
|
|
|
+ const std::vector<::std::vector<Numeric>> &z,
|
|
|
+ const std::map<std::string, std::string> &keywords = {})
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // using numpy arrays
|
|
|
+ PyObject *xarray = detail::get_2darray(x);
|
|
|
+ PyObject *yarray = detail::get_2darray(y);
|
|
|
+ PyObject *zarray = detail::get_2darray(z);
|
|
|
+
|
|
|
+ // construct positional args
|
|
|
+ PyObject *args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(args, 0, xarray);
|
|
|
+ PyTuple_SetItem(args, 1, yarray);
|
|
|
+ PyTuple_SetItem(args, 2, zarray);
|
|
|
+
|
|
|
+ // Build up the kw args.
|
|
|
+ PyObject *kwargs = PyDict_New();
|
|
|
+
|
|
|
+ PyObject *python_colormap_coolwarm = PyObject_GetAttrString(
|
|
|
+ detail::_interpreter::get().s_python_colormap, "coolwarm");
|
|
|
+
|
|
|
+ PyDict_SetItemString(kwargs, "cmap", python_colormap_coolwarm);
|
|
|
+
|
|
|
+ for (std::map<std::string, std::string>::const_iterator it = keywords.begin();
|
|
|
+ it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(),
|
|
|
+ PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject *res = PyObject_Call(detail::_interpreter::get().s_python_function_contour, args, kwargs);
|
|
|
+ if (!res)
|
|
|
+ throw std::runtime_error("failed contour");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+template <typename Numeric>
|
|
|
+void spy(const std::vector<::std::vector<Numeric>> &x,
|
|
|
+ const double markersize = -1, // -1 for default matplotlib size
|
|
|
+ const std::map<std::string, std::string> &keywords = {})
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject *xarray = detail::get_2darray(x);
|
|
|
+
|
|
|
+ PyObject *kwargs = PyDict_New();
|
|
|
+ if (markersize != -1) {
|
|
|
+ PyDict_SetItemString(kwargs, "markersize", PyFloat_FromDouble(markersize));
|
|
|
+ }
|
|
|
+ for (std::map<std::string, std::string>::const_iterator it = keywords.begin();
|
|
|
+ it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(),
|
|
|
+ PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject *plot_args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+
|
|
|
+ PyObject *res = PyObject_Call(
|
|
|
+ detail::_interpreter::get().s_python_function_spy, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+}
|
|
|
+#endif // WITHOUT_NUMPY
|
|
|
+
|
|
|
+template <typename Numeric>
|
|
|
+void plot3(const std::vector<Numeric> &x,
|
|
|
+ const std::vector<Numeric> &y,
|
|
|
+ const std::vector<Numeric> &z,
|
|
|
+ const std::map<std::string, std::string> &keywords =
|
|
|
+ std::map<std::string, std::string>(),
|
|
|
+ const long fig_number=0)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // Same as with plot_surface: We lazily load the modules here the first time
|
|
|
+ // this function is called because I'm not sure that we can assume "matplotlib
|
|
|
+ // installed" implies "mpl_toolkits installed" on all platforms, and we don't
|
|
|
+ // want to require it for people who don't need 3d plots.
|
|
|
+ static PyObject *mpl_toolkitsmod = nullptr, *axis3dmod = nullptr;
|
|
|
+ if (!mpl_toolkitsmod) {
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* mpl_toolkits = PyString_FromString("mpl_toolkits");
|
|
|
+ PyObject* axis3d = PyString_FromString("mpl_toolkits.mplot3d");
|
|
|
+ if (!mpl_toolkits || !axis3d) { throw std::runtime_error("couldnt create string"); }
|
|
|
+
|
|
|
+ mpl_toolkitsmod = PyImport_Import(mpl_toolkits);
|
|
|
+ Py_DECREF(mpl_toolkits);
|
|
|
+ if (!mpl_toolkitsmod) { throw std::runtime_error("Error loading module mpl_toolkits!"); }
|
|
|
+
|
|
|
+ axis3dmod = PyImport_Import(axis3d);
|
|
|
+ Py_DECREF(axis3d);
|
|
|
+ if (!axis3dmod) { throw std::runtime_error("Error loading module mpl_toolkits.mplot3d!"); }
|
|
|
+ }
|
|
|
+
|
|
|
+ assert(x.size() == y.size());
|
|
|
+ assert(y.size() == z.size());
|
|
|
+
|
|
|
+ PyObject *xarray = detail::get_array(x);
|
|
|
+ PyObject *yarray = detail::get_array(y);
|
|
|
+ PyObject *zarray = detail::get_array(z);
|
|
|
+
|
|
|
+ // construct positional args
|
|
|
+ PyObject *args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(args, 0, xarray);
|
|
|
+ PyTuple_SetItem(args, 1, yarray);
|
|
|
+ PyTuple_SetItem(args, 2, zarray);
|
|
|
+
|
|
|
+ // Build up the kw args.
|
|
|
+ PyObject *kwargs = PyDict_New();
|
|
|
+
|
|
|
+ for (std::map<std::string, std::string>::const_iterator it = keywords.begin();
|
|
|
+ it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(),
|
|
|
+ PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject *fig_args = PyTuple_New(1);
|
|
|
+ PyObject* fig = nullptr;
|
|
|
+ PyTuple_SetItem(fig_args, 0, PyLong_FromLong(fig_number));
|
|
|
+ PyObject *fig_exists =
|
|
|
+ PyObject_CallObject(detail::_interpreter::get().s_python_function_fignum_exists, fig_args);
|
|
|
+ if (!PyObject_IsTrue(fig_exists)) {
|
|
|
+ fig = PyObject_CallObject(detail::_interpreter::get().s_python_function_figure,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+ } else {
|
|
|
+ fig = PyObject_CallObject(detail::_interpreter::get().s_python_function_figure,
|
|
|
+ fig_args);
|
|
|
+ }
|
|
|
+ if (!fig) throw std::runtime_error("Call to figure() failed.");
|
|
|
+
|
|
|
+ PyObject *gca_kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(gca_kwargs, "projection", PyString_FromString("3d"));
|
|
|
+
|
|
|
+ PyObject *gca = PyObject_GetAttrString(fig, "gca");
|
|
|
+ if (!gca) throw std::runtime_error("No gca");
|
|
|
+ Py_INCREF(gca);
|
|
|
+ PyObject *axis = PyObject_Call(
|
|
|
+ gca, detail::_interpreter::get().s_python_empty_tuple, gca_kwargs);
|
|
|
+
|
|
|
+ if (!axis) throw std::runtime_error("No axis");
|
|
|
+ Py_INCREF(axis);
|
|
|
+
|
|
|
+ Py_DECREF(gca);
|
|
|
+ Py_DECREF(gca_kwargs);
|
|
|
+
|
|
|
+ PyObject *plot3 = PyObject_GetAttrString(axis, "plot");
|
|
|
+ if (!plot3) throw std::runtime_error("No 3D line plot");
|
|
|
+ Py_INCREF(plot3);
|
|
|
+ PyObject *res = PyObject_Call(plot3, args, kwargs);
|
|
|
+ if (!res) throw std::runtime_error("Failed 3D line plot");
|
|
|
+ Py_DECREF(plot3);
|
|
|
+
|
|
|
+ Py_DECREF(axis);
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+bool stem(const std::vector<Numeric> &x, const std::vector<Numeric> &y, const std::map<std::string, std::string>& keywords)
|
|
|
+{
|
|
|
+ assert(x.size() == y.size());
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // using numpy arrays
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ // construct positional args
|
|
|
+ PyObject* args = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(args, 0, xarray);
|
|
|
+ PyTuple_SetItem(args, 1, yarray);
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for (std::map<std::string, std::string>::const_iterator it =
|
|
|
+ keywords.begin(); it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(),
|
|
|
+ PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(
|
|
|
+ detail::_interpreter::get().s_python_function_stem, args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if (res)
|
|
|
+ Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template< typename Numeric >
|
|
|
+bool fill(const std::vector<Numeric>& x, const std::vector<Numeric>& y, const std::map<std::string, std::string>& keywords)
|
|
|
+{
|
|
|
+ assert(x.size() == y.size());
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // using numpy arrays
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ // construct positional args
|
|
|
+ PyObject* args = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(args, 0, xarray);
|
|
|
+ PyTuple_SetItem(args, 1, yarray);
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for (auto it = keywords.begin(); it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_fill, args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template< typename Numeric >
|
|
|
+bool fill_between(const std::vector<Numeric>& x, const std::vector<Numeric>& y1, const std::vector<Numeric>& y2, const std::map<std::string, std::string>& keywords)
|
|
|
+{
|
|
|
+ assert(x.size() == y1.size());
|
|
|
+ assert(x.size() == y2.size());
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // using numpy arrays
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* y1array = detail::get_array(y1);
|
|
|
+ PyObject* y2array = detail::get_array(y2);
|
|
|
+
|
|
|
+ // construct positional args
|
|
|
+ PyObject* args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(args, 0, xarray);
|
|
|
+ PyTuple_SetItem(args, 1, y1array);
|
|
|
+ PyTuple_SetItem(args, 2, y2array);
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for(std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_fill_between, args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template <typename Numeric>
|
|
|
+bool arrow(Numeric x, Numeric y, Numeric end_x, Numeric end_y, const std::string& fc = "r",
|
|
|
+ const std::string ec = "k", Numeric head_length = 0.25, Numeric head_width = 0.1625) {
|
|
|
+ PyObject* obj_x = PyFloat_FromDouble(x);
|
|
|
+ PyObject* obj_y = PyFloat_FromDouble(y);
|
|
|
+ PyObject* obj_end_x = PyFloat_FromDouble(end_x);
|
|
|
+ PyObject* obj_end_y = PyFloat_FromDouble(end_y);
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(kwargs, "fc", PyString_FromString(fc.c_str()));
|
|
|
+ PyDict_SetItemString(kwargs, "ec", PyString_FromString(ec.c_str()));
|
|
|
+ PyDict_SetItemString(kwargs, "head_width", PyFloat_FromDouble(head_width));
|
|
|
+ PyDict_SetItemString(kwargs, "head_length", PyFloat_FromDouble(head_length));
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(4);
|
|
|
+ PyTuple_SetItem(plot_args, 0, obj_x);
|
|
|
+ PyTuple_SetItem(plot_args, 1, obj_y);
|
|
|
+ PyTuple_SetItem(plot_args, 2, obj_end_x);
|
|
|
+ PyTuple_SetItem(plot_args, 3, obj_end_y);
|
|
|
+
|
|
|
+ PyObject* res =
|
|
|
+ PyObject_Call(detail::_interpreter::get().s_python_function_arrow, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if (res)
|
|
|
+ Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template< typename Numeric>
|
|
|
+bool hist(const std::vector<Numeric>& y, long bins=10,std::string color="b",
|
|
|
+ double alpha=1.0, bool cumulative=false)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(kwargs, "bins", PyLong_FromLong(bins));
|
|
|
+ PyDict_SetItemString(kwargs, "color", PyString_FromString(color.c_str()));
|
|
|
+ PyDict_SetItemString(kwargs, "alpha", PyFloat_FromDouble(alpha));
|
|
|
+ PyDict_SetItemString(kwargs, "cumulative", cumulative ? Py_True : Py_False);
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(1);
|
|
|
+
|
|
|
+ PyTuple_SetItem(plot_args, 0, yarray);
|
|
|
+
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_hist, plot_args, kwargs);
|
|
|
+
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+#ifndef WITHOUT_NUMPY
|
|
|
+namespace detail {
|
|
|
+
|
|
|
+inline void imshow(void *ptr, const NPY_TYPES type, const int rows, const int columns, const int colors, const std::map<std::string, std::string> &keywords, PyObject** out)
|
|
|
+{
|
|
|
+ assert(type == NPY_UINT8 || type == NPY_FLOAT);
|
|
|
+ assert(colors == 1 || colors == 3 || colors == 4);
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // construct args
|
|
|
+ npy_intp dims[3] = { rows, columns, colors };
|
|
|
+ PyObject *args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, PyArray_SimpleNewFromData(colors == 1 ? 2 : 3, dims, type, ptr));
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for(std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject *res = PyObject_Call(detail::_interpreter::get().s_python_function_imshow, args, kwargs);
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if (!res)
|
|
|
+ throw std::runtime_error("Call to imshow() failed");
|
|
|
+ if (out)
|
|
|
+ *out = res;
|
|
|
+ else
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+} // namespace detail
|
|
|
+
|
|
|
+inline void imshow(const unsigned char *ptr, const int rows, const int columns, const int colors, const std::map<std::string, std::string> &keywords = {}, PyObject** out = nullptr)
|
|
|
+{
|
|
|
+ detail::imshow((void *) ptr, NPY_UINT8, rows, columns, colors, keywords, out);
|
|
|
+}
|
|
|
+
|
|
|
+inline void imshow(const float *ptr, const int rows, const int columns, const int colors, const std::map<std::string, std::string> &keywords = {}, PyObject** out = nullptr)
|
|
|
+{
|
|
|
+ detail::imshow((void *) ptr, NPY_FLOAT, rows, columns, colors, keywords, out);
|
|
|
+}
|
|
|
+
|
|
|
+#ifdef WITH_OPENCV
|
|
|
+void imshow(const cv::Mat &image, const std::map<std::string, std::string> &keywords = {})
|
|
|
+{
|
|
|
+ // Convert underlying type of matrix, if needed
|
|
|
+ cv::Mat image2;
|
|
|
+ NPY_TYPES npy_type = NPY_UINT8;
|
|
|
+ switch (image.type() & CV_MAT_DEPTH_MASK) {
|
|
|
+ case CV_8U:
|
|
|
+ image2 = image;
|
|
|
+ break;
|
|
|
+ case CV_32F:
|
|
|
+ image2 = image;
|
|
|
+ npy_type = NPY_FLOAT;
|
|
|
+ break;
|
|
|
+ default:
|
|
|
+ image.convertTo(image2, CV_MAKETYPE(CV_8U, image.channels()));
|
|
|
+ }
|
|
|
+
|
|
|
+ // If color image, convert from BGR to RGB
|
|
|
+ switch (image2.channels()) {
|
|
|
+ case 3:
|
|
|
+ cv::cvtColor(image2, image2, CV_BGR2RGB);
|
|
|
+ break;
|
|
|
+ case 4:
|
|
|
+ cv::cvtColor(image2, image2, CV_BGRA2RGBA);
|
|
|
+ }
|
|
|
+
|
|
|
+ detail::imshow(image2.data, npy_type, image2.rows, image2.cols, image2.channels(), keywords);
|
|
|
+}
|
|
|
+#endif // WITH_OPENCV
|
|
|
+#endif // WITHOUT_NUMPY
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY>
|
|
|
+bool scatter(const std::vector<NumericX>& x,
|
|
|
+ const std::vector<NumericY>& y,
|
|
|
+ const double s=1.0, // The marker size in points**2
|
|
|
+ const std::map<std::string, std::string> & keywords = {})
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ assert(x.size() == y.size());
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(kwargs, "s", PyLong_FromLong(s));
|
|
|
+ for (const auto& it : keywords)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it.first.c_str(), PyString_FromString(it.second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_scatter, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY, typename NumericColors>
|
|
|
+ bool scatter_colored(const std::vector<NumericX>& x,
|
|
|
+ const std::vector<NumericY>& y,
|
|
|
+ const std::vector<NumericColors>& colors,
|
|
|
+ const double s=1.0, // The marker size in points**2
|
|
|
+ const std::map<std::string, std::string> & keywords = {})
|
|
|
+ {
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ assert(x.size() == y.size());
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+ PyObject* colors_array = detail::get_array(colors);
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(kwargs, "s", PyLong_FromLong(s));
|
|
|
+ PyDict_SetItemString(kwargs, "c", colors_array);
|
|
|
+
|
|
|
+ for (const auto& it : keywords)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it.first.c_str(), PyString_FromString(it.second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_scatter, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+ }
|
|
|
+
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY, typename NumericZ>
|
|
|
+bool scatter(const std::vector<NumericX>& x,
|
|
|
+ const std::vector<NumericY>& y,
|
|
|
+ const std::vector<NumericZ>& z,
|
|
|
+ const double s=1.0, // The marker size in points**2
|
|
|
+ const std::map<std::string, std::string> & keywords = {},
|
|
|
+ const long fig_number=0) {
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // Same as with plot_surface: We lazily load the modules here the first time
|
|
|
+ // this function is called because I'm not sure that we can assume "matplotlib
|
|
|
+ // installed" implies "mpl_toolkits installed" on all platforms, and we don't
|
|
|
+ // want to require it for people who don't need 3d plots.
|
|
|
+ static PyObject *mpl_toolkitsmod = nullptr, *axis3dmod = nullptr;
|
|
|
+ if (!mpl_toolkitsmod) {
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* mpl_toolkits = PyString_FromString("mpl_toolkits");
|
|
|
+ PyObject* axis3d = PyString_FromString("mpl_toolkits.mplot3d");
|
|
|
+ if (!mpl_toolkits || !axis3d) { throw std::runtime_error("couldnt create string"); }
|
|
|
+
|
|
|
+ mpl_toolkitsmod = PyImport_Import(mpl_toolkits);
|
|
|
+ Py_DECREF(mpl_toolkits);
|
|
|
+ if (!mpl_toolkitsmod) { throw std::runtime_error("Error loading module mpl_toolkits!"); }
|
|
|
+
|
|
|
+ axis3dmod = PyImport_Import(axis3d);
|
|
|
+ Py_DECREF(axis3d);
|
|
|
+ if (!axis3dmod) { throw std::runtime_error("Error loading module mpl_toolkits.mplot3d!"); }
|
|
|
+ }
|
|
|
+
|
|
|
+ assert(x.size() == y.size());
|
|
|
+ assert(y.size() == z.size());
|
|
|
+
|
|
|
+ PyObject *xarray = detail::get_array(x);
|
|
|
+ PyObject *yarray = detail::get_array(y);
|
|
|
+ PyObject *zarray = detail::get_array(z);
|
|
|
+
|
|
|
+ // construct positional args
|
|
|
+ PyObject *args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(args, 0, xarray);
|
|
|
+ PyTuple_SetItem(args, 1, yarray);
|
|
|
+ PyTuple_SetItem(args, 2, zarray);
|
|
|
+
|
|
|
+ // Build up the kw args.
|
|
|
+ PyObject *kwargs = PyDict_New();
|
|
|
+
|
|
|
+ for (std::map<std::string, std::string>::const_iterator it = keywords.begin();
|
|
|
+ it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(),
|
|
|
+ PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+ PyObject *fig_args = PyTuple_New(1);
|
|
|
+ PyObject* fig = nullptr;
|
|
|
+ PyTuple_SetItem(fig_args, 0, PyLong_FromLong(fig_number));
|
|
|
+ PyObject *fig_exists =
|
|
|
+ PyObject_CallObject(detail::_interpreter::get().s_python_function_fignum_exists, fig_args);
|
|
|
+ if (!PyObject_IsTrue(fig_exists)) {
|
|
|
+ fig = PyObject_CallObject(detail::_interpreter::get().s_python_function_figure,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+ } else {
|
|
|
+ fig = PyObject_CallObject(detail::_interpreter::get().s_python_function_figure,
|
|
|
+ fig_args);
|
|
|
+ }
|
|
|
+ Py_DECREF(fig_exists);
|
|
|
+ if (!fig) throw std::runtime_error("Call to figure() failed.");
|
|
|
+
|
|
|
+ PyObject *gca_kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(gca_kwargs, "projection", PyString_FromString("3d"));
|
|
|
+
|
|
|
+ PyObject *gca = PyObject_GetAttrString(fig, "gca");
|
|
|
+ if (!gca) throw std::runtime_error("No gca");
|
|
|
+ Py_INCREF(gca);
|
|
|
+ PyObject *axis = PyObject_Call(
|
|
|
+ gca, detail::_interpreter::get().s_python_empty_tuple, gca_kwargs);
|
|
|
+
|
|
|
+ if (!axis) throw std::runtime_error("No axis");
|
|
|
+ Py_INCREF(axis);
|
|
|
+
|
|
|
+ Py_DECREF(gca);
|
|
|
+ Py_DECREF(gca_kwargs);
|
|
|
+
|
|
|
+ PyObject *plot3 = PyObject_GetAttrString(axis, "scatter");
|
|
|
+ if (!plot3) throw std::runtime_error("No 3D line plot");
|
|
|
+ Py_INCREF(plot3);
|
|
|
+ PyObject *res = PyObject_Call(plot3, args, kwargs);
|
|
|
+ if (!res) throw std::runtime_error("Failed 3D line plot");
|
|
|
+ Py_DECREF(plot3);
|
|
|
+
|
|
|
+ Py_DECREF(axis);
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(fig);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+ return res;
|
|
|
+
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+bool boxplot(const std::vector<std::vector<Numeric>>& data,
|
|
|
+ const std::vector<std::string>& labels = {},
|
|
|
+ const std::map<std::string, std::string> & keywords = {})
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* listlist = detail::get_listlist(data);
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, listlist);
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+
|
|
|
+ // kwargs needs the labels, if there are (the correct number of) labels
|
|
|
+ if (!labels.empty() && labels.size() == data.size()) {
|
|
|
+ PyDict_SetItemString(kwargs, "labels", detail::get_array(labels));
|
|
|
+ }
|
|
|
+
|
|
|
+ // take care of the remaining keywords
|
|
|
+ for (const auto& it : keywords)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it.first.c_str(), PyString_FromString(it.second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_boxplot, args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+bool boxplot(const std::vector<Numeric>& data,
|
|
|
+ const std::map<std::string, std::string> & keywords = {})
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* vector = detail::get_array(data);
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, vector);
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for (const auto& it : keywords)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it.first.c_str(), PyString_FromString(it.second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_boxplot, args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template <typename Numeric>
|
|
|
+bool bar(const std::vector<Numeric> & x,
|
|
|
+ const std::vector<Numeric> & y,
|
|
|
+ std::string ec = "black",
|
|
|
+ std::string ls = "-",
|
|
|
+ double lw = 1.0,
|
|
|
+ const std::map<std::string, std::string> & keywords = {})
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject * xarray = detail::get_array(x);
|
|
|
+ PyObject * yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject * kwargs = PyDict_New();
|
|
|
+
|
|
|
+ PyDict_SetItemString(kwargs, "ec", PyString_FromString(ec.c_str()));
|
|
|
+ PyDict_SetItemString(kwargs, "ls", PyString_FromString(ls.c_str()));
|
|
|
+ PyDict_SetItemString(kwargs, "lw", PyFloat_FromDouble(lw));
|
|
|
+
|
|
|
+ for (std::map<std::string, std::string>::const_iterator it =
|
|
|
+ keywords.begin();
|
|
|
+ it != keywords.end();
|
|
|
+ ++it) {
|
|
|
+ PyDict_SetItemString(
|
|
|
+ kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject * plot_args = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+
|
|
|
+ PyObject * res = PyObject_Call(
|
|
|
+ detail::_interpreter::get().s_python_function_bar, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template <typename Numeric>
|
|
|
+bool bar(const std::vector<Numeric> & y,
|
|
|
+ std::string ec = "black",
|
|
|
+ std::string ls = "-",
|
|
|
+ double lw = 1.0,
|
|
|
+ const std::map<std::string, std::string> & keywords = {})
|
|
|
+{
|
|
|
+ using T = typename std::remove_reference<decltype(y)>::type::value_type;
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ std::vector<T> x;
|
|
|
+ for (std::size_t i = 0; i < y.size(); i++) { x.push_back(i); }
|
|
|
+
|
|
|
+ return bar(x, y, ec, ls, lw, keywords);
|
|
|
+}
|
|
|
+
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+bool barh(const std::vector<Numeric> &x, const std::vector<Numeric> &y, std::string ec = "black", std::string ls = "-", double lw = 1.0, const std::map<std::string, std::string> &keywords = { }) {
|
|
|
+ PyObject *xarray = detail::get_array(x);
|
|
|
+ PyObject *yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject *kwargs = PyDict_New();
|
|
|
+
|
|
|
+ PyDict_SetItemString(kwargs, "ec", PyString_FromString(ec.c_str()));
|
|
|
+ PyDict_SetItemString(kwargs, "ls", PyString_FromString(ls.c_str()));
|
|
|
+ PyDict_SetItemString(kwargs, "lw", PyFloat_FromDouble(lw));
|
|
|
+
|
|
|
+ for (std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject *plot_args = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+
|
|
|
+ PyObject *res = PyObject_Call(detail::_interpreter::get().s_python_function_barh, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+
|
|
|
+inline bool subplots_adjust(const std::map<std::string, double>& keywords = {})
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for (std::map<std::string, double>::const_iterator it =
|
|
|
+ keywords.begin(); it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(),
|
|
|
+ PyFloat_FromDouble(it->second));
|
|
|
+ }
|
|
|
+
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(0);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_subplots_adjust, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template< typename Numeric>
|
|
|
+bool named_hist(std::string label,const std::vector<Numeric>& y, long bins=10, std::string color="b", double alpha=1.0)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(kwargs, "label", PyString_FromString(label.c_str()));
|
|
|
+ PyDict_SetItemString(kwargs, "bins", PyLong_FromLong(bins));
|
|
|
+ PyDict_SetItemString(kwargs, "color", PyString_FromString(color.c_str()));
|
|
|
+ PyDict_SetItemString(kwargs, "alpha", PyFloat_FromDouble(alpha));
|
|
|
+
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(plot_args, 0, yarray);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_hist, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY>
|
|
|
+bool plot(const std::vector<NumericX>& x, const std::vector<NumericY>& y, const std::string& s = "")
|
|
|
+{
|
|
|
+ assert(x.size() == y.size());
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* pystring = PyString_FromString(s.c_str());
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+ PyTuple_SetItem(plot_args, 2, pystring);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_plot, plot_args);
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template <typename NumericX, typename NumericY, typename NumericZ>
|
|
|
+bool contour(const std::vector<NumericX>& x, const std::vector<NumericY>& y,
|
|
|
+ const std::vector<NumericZ>& z,
|
|
|
+ const std::map<std::string, std::string>& keywords = {}) {
|
|
|
+ assert(x.size() == y.size() && x.size() == z.size());
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+ PyObject* zarray = detail::get_array(z);
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+ PyTuple_SetItem(plot_args, 2, zarray);
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for (std::map<std::string, std::string>::const_iterator it = keywords.begin();
|
|
|
+ it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res =
|
|
|
+ PyObject_Call(detail::_interpreter::get().s_python_function_contour, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ if (res)
|
|
|
+ Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY, typename NumericU, typename NumericW>
|
|
|
+bool quiver(const std::vector<NumericX>& x, const std::vector<NumericY>& y, const std::vector<NumericU>& u, const std::vector<NumericW>& w, const std::map<std::string, std::string>& keywords = {})
|
|
|
+{
|
|
|
+ assert(x.size() == y.size() && x.size() == u.size() && u.size() == w.size());
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+ PyObject* uarray = detail::get_array(u);
|
|
|
+ PyObject* warray = detail::get_array(w);
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(4);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+ PyTuple_SetItem(plot_args, 2, uarray);
|
|
|
+ PyTuple_SetItem(plot_args, 3, warray);
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for(std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(
|
|
|
+ detail::_interpreter::get().s_python_function_quiver, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ if (res)
|
|
|
+ Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY, typename NumericZ, typename NumericU, typename NumericW, typename NumericV>
|
|
|
+bool quiver(const std::vector<NumericX>& x, const std::vector<NumericY>& y, const std::vector<NumericZ>& z, const std::vector<NumericU>& u, const std::vector<NumericW>& w, const std::vector<NumericV>& v, const std::map<std::string, std::string>& keywords = {})
|
|
|
+{
|
|
|
+ //set up 3d axes stuff
|
|
|
+ static PyObject *mpl_toolkitsmod = nullptr, *axis3dmod = nullptr;
|
|
|
+ if (!mpl_toolkitsmod) {
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* mpl_toolkits = PyString_FromString("mpl_toolkits");
|
|
|
+ PyObject* axis3d = PyString_FromString("mpl_toolkits.mplot3d");
|
|
|
+ if (!mpl_toolkits || !axis3d) { throw std::runtime_error("couldnt create string"); }
|
|
|
+
|
|
|
+ mpl_toolkitsmod = PyImport_Import(mpl_toolkits);
|
|
|
+ Py_DECREF(mpl_toolkits);
|
|
|
+ if (!mpl_toolkitsmod) { throw std::runtime_error("Error loading module mpl_toolkits!"); }
|
|
|
+
|
|
|
+ axis3dmod = PyImport_Import(axis3d);
|
|
|
+ Py_DECREF(axis3d);
|
|
|
+ if (!axis3dmod) { throw std::runtime_error("Error loading module mpl_toolkits.mplot3d!"); }
|
|
|
+ }
|
|
|
+
|
|
|
+ //assert sizes match up
|
|
|
+ assert(x.size() == y.size() && x.size() == u.size() && u.size() == w.size() && x.size() == z.size() && x.size() == v.size() && u.size() == v.size());
|
|
|
+
|
|
|
+ //set up parameters
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+ PyObject* zarray = detail::get_array(z);
|
|
|
+ PyObject* uarray = detail::get_array(u);
|
|
|
+ PyObject* warray = detail::get_array(w);
|
|
|
+ PyObject* varray = detail::get_array(v);
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(6);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+ PyTuple_SetItem(plot_args, 2, zarray);
|
|
|
+ PyTuple_SetItem(plot_args, 3, uarray);
|
|
|
+ PyTuple_SetItem(plot_args, 4, warray);
|
|
|
+ PyTuple_SetItem(plot_args, 5, varray);
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for(std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ //get figure gca to enable 3d projection
|
|
|
+ PyObject *fig =
|
|
|
+ PyObject_CallObject(detail::_interpreter::get().s_python_function_figure,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+ if (!fig) throw std::runtime_error("Call to figure() failed.");
|
|
|
+
|
|
|
+ PyObject *gca_kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(gca_kwargs, "projection", PyString_FromString("3d"));
|
|
|
+
|
|
|
+ PyObject *gca = PyObject_GetAttrString(fig, "gca");
|
|
|
+ if (!gca) throw std::runtime_error("No gca");
|
|
|
+ Py_INCREF(gca);
|
|
|
+ PyObject *axis = PyObject_Call(
|
|
|
+ gca, detail::_interpreter::get().s_python_empty_tuple, gca_kwargs);
|
|
|
+
|
|
|
+ if (!axis) throw std::runtime_error("No axis");
|
|
|
+ Py_INCREF(axis);
|
|
|
+ Py_DECREF(gca);
|
|
|
+ Py_DECREF(gca_kwargs);
|
|
|
+
|
|
|
+ //plot our boys bravely, plot them strongly, plot them with a wink and clap
|
|
|
+ PyObject *plot3 = PyObject_GetAttrString(axis, "quiver");
|
|
|
+ if (!plot3) throw std::runtime_error("No 3D line plot");
|
|
|
+ Py_INCREF(plot3);
|
|
|
+ PyObject* res = PyObject_Call(
|
|
|
+ plot3, plot_args, kwargs);
|
|
|
+ if (!res) throw std::runtime_error("Failed 3D plot");
|
|
|
+ Py_DECREF(plot3);
|
|
|
+ Py_DECREF(axis);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ if (res)
|
|
|
+ Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY>
|
|
|
+bool stem(const std::vector<NumericX>& x, const std::vector<NumericY>& y, const std::string& s = "")
|
|
|
+{
|
|
|
+ assert(x.size() == y.size());
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* pystring = PyString_FromString(s.c_str());
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+ PyTuple_SetItem(plot_args, 2, pystring);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(
|
|
|
+ detail::_interpreter::get().s_python_function_stem, plot_args);
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ if (res)
|
|
|
+ Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY>
|
|
|
+bool semilogx(const std::vector<NumericX>& x, const std::vector<NumericY>& y, const std::string& s = "")
|
|
|
+{
|
|
|
+ assert(x.size() == y.size());
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* pystring = PyString_FromString(s.c_str());
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+ PyTuple_SetItem(plot_args, 2, pystring);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_semilogx, plot_args);
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY>
|
|
|
+bool semilogy(const std::vector<NumericX>& x, const std::vector<NumericY>& y, const std::string& s = "")
|
|
|
+{
|
|
|
+ assert(x.size() == y.size());
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* pystring = PyString_FromString(s.c_str());
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+ PyTuple_SetItem(plot_args, 2, pystring);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_semilogy, plot_args);
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY>
|
|
|
+bool loglog(const std::vector<NumericX>& x, const std::vector<NumericY>& y, const std::string& s = "")
|
|
|
+{
|
|
|
+ assert(x.size() == y.size());
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* pystring = PyString_FromString(s.c_str());
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+ PyTuple_SetItem(plot_args, 2, pystring);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_loglog, plot_args);
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY>
|
|
|
+bool errorbar(const std::vector<NumericX> &x, const std::vector<NumericY> &y, const std::vector<NumericX> &yerr, const std::map<std::string, std::string> &keywords = {})
|
|
|
+{
|
|
|
+ assert(x.size() == y.size());
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+ PyObject* yerrarray = detail::get_array(yerr);
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for(std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyDict_SetItemString(kwargs, "yerr", yerrarray);
|
|
|
+
|
|
|
+ PyObject *plot_args = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+
|
|
|
+ PyObject *res = PyObject_Call(detail::_interpreter::get().s_python_function_errorbar, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+
|
|
|
+ if (res)
|
|
|
+ Py_DECREF(res);
|
|
|
+ else
|
|
|
+ throw std::runtime_error("Call to errorbar() failed.");
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+bool named_plot(const std::string& name, const std::vector<Numeric>& y, const std::string& format = "")
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(kwargs, "label", PyString_FromString(name.c_str()));
|
|
|
+
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* pystring = PyString_FromString(format.c_str());
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(2);
|
|
|
+
|
|
|
+ PyTuple_SetItem(plot_args, 0, yarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, pystring);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_plot, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY>
|
|
|
+bool named_plot(const std::string& name, const std::vector<NumericX>& x, const std::vector<NumericY>& y, const std::string& format = "")
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(kwargs, "label", PyString_FromString(name.c_str()));
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* pystring = PyString_FromString(format.c_str());
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+ PyTuple_SetItem(plot_args, 2, pystring);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_plot, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY>
|
|
|
+bool named_semilogx(const std::string& name, const std::vector<NumericX>& x, const std::vector<NumericY>& y, const std::string& format = "")
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(kwargs, "label", PyString_FromString(name.c_str()));
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* pystring = PyString_FromString(format.c_str());
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+ PyTuple_SetItem(plot_args, 2, pystring);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_semilogx, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY>
|
|
|
+bool named_semilogy(const std::string& name, const std::vector<NumericX>& x, const std::vector<NumericY>& y, const std::string& format = "")
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(kwargs, "label", PyString_FromString(name.c_str()));
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* pystring = PyString_FromString(format.c_str());
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+ PyTuple_SetItem(plot_args, 2, pystring);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_semilogy, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename NumericX, typename NumericY>
|
|
|
+bool named_loglog(const std::string& name, const std::vector<NumericX>& x, const std::vector<NumericY>& y, const std::string& format = "")
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(kwargs, "label", PyString_FromString(name.c_str()));
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* pystring = PyString_FromString(format.c_str());
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+ PyTuple_SetItem(plot_args, 2, pystring);
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_loglog, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+bool plot(const std::vector<Numeric>& y, const std::string& format = "")
|
|
|
+{
|
|
|
+ std::vector<Numeric> x(y.size());
|
|
|
+ for(size_t i=0; i<x.size(); ++i) x.at(i) = i;
|
|
|
+ return plot(x,y,format);
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+bool plot(const std::vector<Numeric>& y, const std::map<std::string, std::string>& keywords)
|
|
|
+{
|
|
|
+ std::vector<Numeric> x(y.size());
|
|
|
+ for(size_t i=0; i<x.size(); ++i) x.at(i) = i;
|
|
|
+ return plot(x,y,keywords);
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+bool stem(const std::vector<Numeric>& y, const std::string& format = "")
|
|
|
+{
|
|
|
+ std::vector<Numeric> x(y.size());
|
|
|
+ for (size_t i = 0; i < x.size(); ++i) x.at(i) = i;
|
|
|
+ return stem(x, y, format);
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+void text(Numeric x, Numeric y, const std::string& s = "")
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(args, 0, PyFloat_FromDouble(x));
|
|
|
+ PyTuple_SetItem(args, 1, PyFloat_FromDouble(y));
|
|
|
+ PyTuple_SetItem(args, 2, PyString_FromString(s.c_str()));
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_text, args);
|
|
|
+ if(!res) throw std::runtime_error("Call to text() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void colorbar(PyObject* mappable = NULL, const std::map<std::string, float>& keywords = {})
|
|
|
+{
|
|
|
+ if (mappable == NULL)
|
|
|
+ throw std::runtime_error("Must call colorbar with PyObject* returned from an image, contour, surface, etc.");
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, mappable);
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for(std::map<std::string, float>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyFloat_FromDouble(it->second));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_colorbar, args, kwargs);
|
|
|
+ if(!res) throw std::runtime_error("Call to colorbar() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+
|
|
|
+inline long figure(long number = -1)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject *res;
|
|
|
+ if (number == -1)
|
|
|
+ res = PyObject_CallObject(detail::_interpreter::get().s_python_function_figure, detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+ else {
|
|
|
+ assert(number > 0);
|
|
|
+
|
|
|
+ // Make sure interpreter is initialised
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject *args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, PyLong_FromLong(number));
|
|
|
+ res = PyObject_CallObject(detail::_interpreter::get().s_python_function_figure, args);
|
|
|
+ Py_DECREF(args);
|
|
|
+ }
|
|
|
+
|
|
|
+ if(!res) throw std::runtime_error("Call to figure() failed.");
|
|
|
+
|
|
|
+ PyObject* num = PyObject_GetAttrString(res, "number");
|
|
|
+ if (!num) throw std::runtime_error("Could not get number attribute of figure object");
|
|
|
+ const long figureNumber = PyLong_AsLong(num);
|
|
|
+
|
|
|
+ Py_DECREF(num);
|
|
|
+ Py_DECREF(res);
|
|
|
+
|
|
|
+ return figureNumber;
|
|
|
+}
|
|
|
+
|
|
|
+inline bool fignum_exists(long number)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject *args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, PyLong_FromLong(number));
|
|
|
+ PyObject *res = PyObject_CallObject(detail::_interpreter::get().s_python_function_fignum_exists, args);
|
|
|
+ if(!res) throw std::runtime_error("Call to fignum_exists() failed.");
|
|
|
+
|
|
|
+ bool ret = PyObject_IsTrue(res);
|
|
|
+ Py_DECREF(res);
|
|
|
+ Py_DECREF(args);
|
|
|
+
|
|
|
+ return ret;
|
|
|
+}
|
|
|
+
|
|
|
+inline void figure_size(size_t w, size_t h)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ const size_t dpi = 100;
|
|
|
+ PyObject* size = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(size, 0, PyFloat_FromDouble((double)w / dpi));
|
|
|
+ PyTuple_SetItem(size, 1, PyFloat_FromDouble((double)h / dpi));
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(kwargs, "figsize", size);
|
|
|
+ PyDict_SetItemString(kwargs, "dpi", PyLong_FromSize_t(dpi));
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_figure,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+
|
|
|
+ if(!res) throw std::runtime_error("Call to figure_size() failed.");
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void legend()
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_legend, detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+ if(!res) throw std::runtime_error("Call to legend() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void legend(const std::map<std::string, std::string>& keywords)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for(std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_legend, detail::_interpreter::get().s_python_empty_tuple, kwargs);
|
|
|
+ if(!res) throw std::runtime_error("Call to legend() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+inline void set_aspect(Numeric ratio)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, PyFloat_FromDouble(ratio));
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+
|
|
|
+ PyObject *ax =
|
|
|
+ PyObject_CallObject(detail::_interpreter::get().s_python_function_gca,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+ if (!ax) throw std::runtime_error("Call to gca() failed.");
|
|
|
+ Py_INCREF(ax);
|
|
|
+
|
|
|
+ PyObject *set_aspect = PyObject_GetAttrString(ax, "set_aspect");
|
|
|
+ if (!set_aspect) throw std::runtime_error("Attribute set_aspect not found.");
|
|
|
+ Py_INCREF(set_aspect);
|
|
|
+
|
|
|
+ PyObject *res = PyObject_Call(set_aspect, args, kwargs);
|
|
|
+ if (!res) throw std::runtime_error("Call to set_aspect() failed.");
|
|
|
+ Py_DECREF(set_aspect);
|
|
|
+
|
|
|
+ Py_DECREF(ax);
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+}
|
|
|
+
|
|
|
+inline void set_aspect_equal()
|
|
|
+{
|
|
|
+ // expect ratio == "equal". Leaving error handling to matplotlib.
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, PyString_FromString("equal"));
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+
|
|
|
+ PyObject *ax =
|
|
|
+ PyObject_CallObject(detail::_interpreter::get().s_python_function_gca,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+ if (!ax) throw std::runtime_error("Call to gca() failed.");
|
|
|
+ Py_INCREF(ax);
|
|
|
+
|
|
|
+ PyObject *set_aspect = PyObject_GetAttrString(ax, "set_aspect");
|
|
|
+ if (!set_aspect) throw std::runtime_error("Attribute set_aspect not found.");
|
|
|
+ Py_INCREF(set_aspect);
|
|
|
+
|
|
|
+ PyObject *res = PyObject_Call(set_aspect, args, kwargs);
|
|
|
+ if (!res) throw std::runtime_error("Call to set_aspect() failed.");
|
|
|
+ Py_DECREF(set_aspect);
|
|
|
+
|
|
|
+ Py_DECREF(ax);
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+void ylim(Numeric left, Numeric right)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* list = PyList_New(2);
|
|
|
+ PyList_SetItem(list, 0, PyFloat_FromDouble(left));
|
|
|
+ PyList_SetItem(list, 1, PyFloat_FromDouble(right));
|
|
|
+
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, list);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_ylim, args);
|
|
|
+ if(!res) throw std::runtime_error("Call to ylim() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+void xlim(Numeric left, Numeric right)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* list = PyList_New(2);
|
|
|
+ PyList_SetItem(list, 0, PyFloat_FromDouble(left));
|
|
|
+ PyList_SetItem(list, 1, PyFloat_FromDouble(right));
|
|
|
+
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, list);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_xlim, args);
|
|
|
+ if(!res) throw std::runtime_error("Call to xlim() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+
|
|
|
+inline std::array<double, 2> xlim()
|
|
|
+{
|
|
|
+ PyObject* args = PyTuple_New(0);
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_xlim, args);
|
|
|
+
|
|
|
+ if(!res) throw std::runtime_error("Call to xlim() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(res);
|
|
|
+
|
|
|
+ PyObject* left = PyTuple_GetItem(res,0);
|
|
|
+ PyObject* right = PyTuple_GetItem(res,1);
|
|
|
+ return { PyFloat_AsDouble(left), PyFloat_AsDouble(right) };
|
|
|
+}
|
|
|
+
|
|
|
+
|
|
|
+inline std::array<double, 2> ylim()
|
|
|
+{
|
|
|
+ PyObject* args = PyTuple_New(0);
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_ylim, args);
|
|
|
+
|
|
|
+ if(!res) throw std::runtime_error("Call to ylim() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(res);
|
|
|
+
|
|
|
+ PyObject* left = PyTuple_GetItem(res,0);
|
|
|
+ PyObject* right = PyTuple_GetItem(res,1);
|
|
|
+ return { PyFloat_AsDouble(left), PyFloat_AsDouble(right) };
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+inline void xticks(const std::vector<Numeric> &ticks, const std::vector<std::string> &labels = {}, const std::map<std::string, std::string>& keywords = {})
|
|
|
+{
|
|
|
+ assert(labels.size() == 0 || ticks.size() == labels.size());
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // using numpy array
|
|
|
+ PyObject* ticksarray = detail::get_array(ticks);
|
|
|
+
|
|
|
+ PyObject* args;
|
|
|
+ if(labels.size() == 0) {
|
|
|
+ // construct positional args
|
|
|
+ args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, ticksarray);
|
|
|
+ } else {
|
|
|
+ // make tuple of tick labels
|
|
|
+ PyObject* labelstuple = PyTuple_New(labels.size());
|
|
|
+ for (size_t i = 0; i < labels.size(); i++)
|
|
|
+ PyTuple_SetItem(labelstuple, i, PyUnicode_FromString(labels[i].c_str()));
|
|
|
+
|
|
|
+ // construct positional args
|
|
|
+ args = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(args, 0, ticksarray);
|
|
|
+ PyTuple_SetItem(args, 1, labelstuple);
|
|
|
+ }
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for(std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_xticks, args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if(!res) throw std::runtime_error("Call to xticks() failed");
|
|
|
+
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+inline void xticks(const std::vector<Numeric> &ticks, const std::map<std::string, std::string>& keywords)
|
|
|
+{
|
|
|
+ xticks(ticks, {}, keywords);
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+inline void yticks(const std::vector<Numeric> &ticks, const std::vector<std::string> &labels = {}, const std::map<std::string, std::string>& keywords = {})
|
|
|
+{
|
|
|
+ assert(labels.size() == 0 || ticks.size() == labels.size());
|
|
|
+
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // using numpy array
|
|
|
+ PyObject* ticksarray = detail::get_array(ticks);
|
|
|
+
|
|
|
+ PyObject* args;
|
|
|
+ if(labels.size() == 0) {
|
|
|
+ // construct positional args
|
|
|
+ args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, ticksarray);
|
|
|
+ } else {
|
|
|
+ // make tuple of tick labels
|
|
|
+ PyObject* labelstuple = PyTuple_New(labels.size());
|
|
|
+ for (size_t i = 0; i < labels.size(); i++)
|
|
|
+ PyTuple_SetItem(labelstuple, i, PyUnicode_FromString(labels[i].c_str()));
|
|
|
+
|
|
|
+ // construct positional args
|
|
|
+ args = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(args, 0, ticksarray);
|
|
|
+ PyTuple_SetItem(args, 1, labelstuple);
|
|
|
+ }
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for(std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_yticks, args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if(!res) throw std::runtime_error("Call to yticks() failed");
|
|
|
+
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+inline void yticks(const std::vector<Numeric> &ticks, const std::map<std::string, std::string>& keywords)
|
|
|
+{
|
|
|
+ yticks(ticks, {}, keywords);
|
|
|
+}
|
|
|
+
|
|
|
+template <typename Numeric> inline void margins(Numeric margin)
|
|
|
+{
|
|
|
+ // construct positional args
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, PyFloat_FromDouble(margin));
|
|
|
+
|
|
|
+ PyObject* res =
|
|
|
+ PyObject_CallObject(detail::_interpreter::get().s_python_function_margins, args);
|
|
|
+ if (!res)
|
|
|
+ throw std::runtime_error("Call to margins() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+template <typename Numeric> inline void margins(Numeric margin_x, Numeric margin_y)
|
|
|
+{
|
|
|
+ // construct positional args
|
|
|
+ PyObject* args = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(args, 0, PyFloat_FromDouble(margin_x));
|
|
|
+ PyTuple_SetItem(args, 1, PyFloat_FromDouble(margin_y));
|
|
|
+
|
|
|
+ PyObject* res =
|
|
|
+ PyObject_CallObject(detail::_interpreter::get().s_python_function_margins, args);
|
|
|
+ if (!res)
|
|
|
+ throw std::runtime_error("Call to margins() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+
|
|
|
+inline void tick_params(const std::map<std::string, std::string>& keywords, const std::string axis = "both")
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // construct positional args
|
|
|
+ PyObject* args;
|
|
|
+ args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, PyString_FromString(axis.c_str()));
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for (std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_tick_params, args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if (!res) throw std::runtime_error("Call to tick_params() failed");
|
|
|
+
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void subplot(long nrows, long ncols, long plot_number)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // construct positional args
|
|
|
+ PyObject* args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(args, 0, PyFloat_FromDouble(nrows));
|
|
|
+ PyTuple_SetItem(args, 1, PyFloat_FromDouble(ncols));
|
|
|
+ PyTuple_SetItem(args, 2, PyFloat_FromDouble(plot_number));
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_subplot, args);
|
|
|
+ if(!res) throw std::runtime_error("Call to subplot() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void subplot2grid(long nrows, long ncols, long rowid=0, long colid=0, long rowspan=1, long colspan=1)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* shape = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(shape, 0, PyLong_FromLong(nrows));
|
|
|
+ PyTuple_SetItem(shape, 1, PyLong_FromLong(ncols));
|
|
|
+
|
|
|
+ PyObject* loc = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(loc, 0, PyLong_FromLong(rowid));
|
|
|
+ PyTuple_SetItem(loc, 1, PyLong_FromLong(colid));
|
|
|
+
|
|
|
+ PyObject* args = PyTuple_New(4);
|
|
|
+ PyTuple_SetItem(args, 0, shape);
|
|
|
+ PyTuple_SetItem(args, 1, loc);
|
|
|
+ PyTuple_SetItem(args, 2, PyLong_FromLong(rowspan));
|
|
|
+ PyTuple_SetItem(args, 3, PyLong_FromLong(colspan));
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_subplot2grid, args);
|
|
|
+ if(!res) throw std::runtime_error("Call to subplot2grid() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(shape);
|
|
|
+ Py_DECREF(loc);
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void title(const std::string &titlestr, const std::map<std::string, std::string> &keywords = {})
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* pytitlestr = PyString_FromString(titlestr.c_str());
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, pytitlestr);
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for (auto it = keywords.begin(); it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_title, args, kwargs);
|
|
|
+ if(!res) throw std::runtime_error("Call to title() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void suptitle(const std::string &suptitlestr, const std::map<std::string, std::string> &keywords = {})
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* pysuptitlestr = PyString_FromString(suptitlestr.c_str());
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, pysuptitlestr);
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for (auto it = keywords.begin(); it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_suptitle, args, kwargs);
|
|
|
+ if(!res) throw std::runtime_error("Call to suptitle() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void axis(const std::string &axisstr)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* str = PyString_FromString(axisstr.c_str());
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, str);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_axis, args);
|
|
|
+ if(!res) throw std::runtime_error("Call to title() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void axhline(double y, double xmin = 0., double xmax = 1., const std::map<std::string, std::string>& keywords = std::map<std::string, std::string>())
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // construct positional args
|
|
|
+ PyObject* args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(args, 0, PyFloat_FromDouble(y));
|
|
|
+ PyTuple_SetItem(args, 1, PyFloat_FromDouble(xmin));
|
|
|
+ PyTuple_SetItem(args, 2, PyFloat_FromDouble(xmax));
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for(std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_axhline, args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void axvline(double x, double ymin = 0., double ymax = 1., const std::map<std::string, std::string>& keywords = std::map<std::string, std::string>())
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // construct positional args
|
|
|
+ PyObject* args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(args, 0, PyFloat_FromDouble(x));
|
|
|
+ PyTuple_SetItem(args, 1, PyFloat_FromDouble(ymin));
|
|
|
+ PyTuple_SetItem(args, 2, PyFloat_FromDouble(ymax));
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for(std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_axvline, args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void axvspan(double xmin, double xmax, double ymin = 0., double ymax = 1., const std::map<std::string, std::string>& keywords = std::map<std::string, std::string>())
|
|
|
+{
|
|
|
+ // construct positional args
|
|
|
+ PyObject* args = PyTuple_New(4);
|
|
|
+ PyTuple_SetItem(args, 0, PyFloat_FromDouble(xmin));
|
|
|
+ PyTuple_SetItem(args, 1, PyFloat_FromDouble(xmax));
|
|
|
+ PyTuple_SetItem(args, 2, PyFloat_FromDouble(ymin));
|
|
|
+ PyTuple_SetItem(args, 3, PyFloat_FromDouble(ymax));
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for (auto it = keywords.begin(); it != keywords.end(); ++it) {
|
|
|
+ if (it->first == "linewidth" || it->first == "alpha") {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(),
|
|
|
+ PyFloat_FromDouble(std::stod(it->second)));
|
|
|
+ } else {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(),
|
|
|
+ PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_axvspan, args, kwargs);
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void xlabel(const std::string &str, const std::map<std::string, std::string> &keywords = {})
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* pystr = PyString_FromString(str.c_str());
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, pystr);
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for (auto it = keywords.begin(); it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_xlabel, args, kwargs);
|
|
|
+ if(!res) throw std::runtime_error("Call to xlabel() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void ylabel(const std::string &str, const std::map<std::string, std::string>& keywords = {})
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* pystr = PyString_FromString(str.c_str());
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, pystr);
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for (auto it = keywords.begin(); it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_ylabel, args, kwargs);
|
|
|
+ if(!res) throw std::runtime_error("Call to ylabel() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void set_zlabel(const std::string &str, const std::map<std::string, std::string>& keywords = {})
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // Same as with plot_surface: We lazily load the modules here the first time
|
|
|
+ // this function is called because I'm not sure that we can assume "matplotlib
|
|
|
+ // installed" implies "mpl_toolkits installed" on all platforms, and we don't
|
|
|
+ // want to require it for people who don't need 3d plots.
|
|
|
+ static PyObject *mpl_toolkitsmod = nullptr, *axis3dmod = nullptr;
|
|
|
+ if (!mpl_toolkitsmod) {
|
|
|
+ PyObject* mpl_toolkits = PyString_FromString("mpl_toolkits");
|
|
|
+ PyObject* axis3d = PyString_FromString("mpl_toolkits.mplot3d");
|
|
|
+ if (!mpl_toolkits || !axis3d) { throw std::runtime_error("couldnt create string"); }
|
|
|
+
|
|
|
+ mpl_toolkitsmod = PyImport_Import(mpl_toolkits);
|
|
|
+ Py_DECREF(mpl_toolkits);
|
|
|
+ if (!mpl_toolkitsmod) { throw std::runtime_error("Error loading module mpl_toolkits!"); }
|
|
|
+
|
|
|
+ axis3dmod = PyImport_Import(axis3d);
|
|
|
+ Py_DECREF(axis3d);
|
|
|
+ if (!axis3dmod) { throw std::runtime_error("Error loading module mpl_toolkits.mplot3d!"); }
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* pystr = PyString_FromString(str.c_str());
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, pystr);
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for (auto it = keywords.begin(); it != keywords.end(); ++it) {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject *ax =
|
|
|
+ PyObject_CallObject(detail::_interpreter::get().s_python_function_gca,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+ if (!ax) throw std::runtime_error("Call to gca() failed.");
|
|
|
+ Py_INCREF(ax);
|
|
|
+
|
|
|
+ PyObject *zlabel = PyObject_GetAttrString(ax, "set_zlabel");
|
|
|
+ if (!zlabel) throw std::runtime_error("Attribute set_zlabel not found.");
|
|
|
+ Py_INCREF(zlabel);
|
|
|
+
|
|
|
+ PyObject *res = PyObject_Call(zlabel, args, kwargs);
|
|
|
+ if (!res) throw std::runtime_error("Call to set_zlabel() failed.");
|
|
|
+ Py_DECREF(zlabel);
|
|
|
+
|
|
|
+ Py_DECREF(ax);
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void grid(bool flag)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* pyflag = flag ? Py_True : Py_False;
|
|
|
+ Py_INCREF(pyflag);
|
|
|
+
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, pyflag);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_grid, args);
|
|
|
+ if(!res) throw std::runtime_error("Call to grid() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void show(const bool block = true)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* res;
|
|
|
+ if(block)
|
|
|
+ {
|
|
|
+ res = PyObject_CallObject(
|
|
|
+ detail::_interpreter::get().s_python_function_show,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+ }
|
|
|
+ else
|
|
|
+ {
|
|
|
+ PyObject *kwargs = PyDict_New();
|
|
|
+ PyDict_SetItemString(kwargs, "block", Py_False);
|
|
|
+ res = PyObject_Call( detail::_interpreter::get().s_python_function_show, detail::_interpreter::get().s_python_empty_tuple, kwargs);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ }
|
|
|
+
|
|
|
+
|
|
|
+ if (!res) throw std::runtime_error("Call to show() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void close()
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(
|
|
|
+ detail::_interpreter::get().s_python_function_close,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+
|
|
|
+ if (!res) throw std::runtime_error("Call to close() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void xkcd() {
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* res;
|
|
|
+ PyObject *kwargs = PyDict_New();
|
|
|
+
|
|
|
+ res = PyObject_Call(detail::_interpreter::get().s_python_function_xkcd,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+
|
|
|
+ if (!res)
|
|
|
+ throw std::runtime_error("Call to show() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void draw()
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(
|
|
|
+ detail::_interpreter::get().s_python_function_draw,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+
|
|
|
+ if (!res) throw std::runtime_error("Call to draw() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+template<typename Numeric>
|
|
|
+inline void pause(Numeric interval)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, PyFloat_FromDouble(interval));
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_pause, args);
|
|
|
+ if(!res) throw std::runtime_error("Call to pause() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void save(const std::string& filename, const int dpi=0)
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* pyfilename = PyString_FromString(filename.c_str());
|
|
|
+
|
|
|
+ PyObject* args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, pyfilename);
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+
|
|
|
+ if(dpi > 0)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, "dpi", PyLong_FromLong(dpi));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_save, args, kwargs);
|
|
|
+ if (!res) throw std::runtime_error("Call to save() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void rcparams(const std::map<std::string, std::string>& keywords = {}) {
|
|
|
+ detail::_interpreter::get();
|
|
|
+ PyObject* args = PyTuple_New(0);
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for (auto it = keywords.begin(); it != keywords.end(); ++it) {
|
|
|
+ if ("text.usetex" == it->first)
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyLong_FromLong(std::stoi(it->second.c_str())));
|
|
|
+ else PyDict_SetItemString(kwargs, it->first.c_str(), PyString_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject * update = PyObject_GetAttrString(detail::_interpreter::get().s_python_function_rcparams, "update");
|
|
|
+ PyObject * res = PyObject_Call(update, args, kwargs);
|
|
|
+ if(!res) throw std::runtime_error("Call to rcParams.update() failed.");
|
|
|
+ Py_DECREF(args);
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(update);
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void clf() {
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject *res = PyObject_CallObject(
|
|
|
+ detail::_interpreter::get().s_python_function_clf,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+
|
|
|
+ if (!res) throw std::runtime_error("Call to clf() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void cla() {
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_cla,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+
|
|
|
+ if (!res)
|
|
|
+ throw std::runtime_error("Call to cla() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline void ion() {
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject *res = PyObject_CallObject(
|
|
|
+ detail::_interpreter::get().s_python_function_ion,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+
|
|
|
+ if (!res) throw std::runtime_error("Call to ion() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+inline std::vector<std::array<double, 2>> ginput(const int numClicks = 1, const std::map<std::string, std::string>& keywords = {})
|
|
|
+{
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject *args = PyTuple_New(1);
|
|
|
+ PyTuple_SetItem(args, 0, PyLong_FromLong(numClicks));
|
|
|
+
|
|
|
+ // construct keyword args
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ for(std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
|
|
|
+ {
|
|
|
+ PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(
|
|
|
+ detail::_interpreter::get().s_python_function_ginput, args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(args);
|
|
|
+ if (!res) throw std::runtime_error("Call to ginput() failed.");
|
|
|
+
|
|
|
+ const size_t len = PyList_Size(res);
|
|
|
+ std::vector<std::array<double, 2>> out;
|
|
|
+ out.reserve(len);
|
|
|
+ for (size_t i = 0; i < len; i++) {
|
|
|
+ PyObject *current = PyList_GetItem(res, i);
|
|
|
+ std::array<double, 2> position;
|
|
|
+ position[0] = PyFloat_AsDouble(PyTuple_GetItem(current, 0));
|
|
|
+ position[1] = PyFloat_AsDouble(PyTuple_GetItem(current, 1));
|
|
|
+ out.push_back(position);
|
|
|
+ }
|
|
|
+ Py_DECREF(res);
|
|
|
+
|
|
|
+ return out;
|
|
|
+}
|
|
|
+
|
|
|
+// Actually, is there any reason not to call this automatically for every plot?
|
|
|
+inline void tight_layout() {
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ PyObject *res = PyObject_CallObject(
|
|
|
+ detail::_interpreter::get().s_python_function_tight_layout,
|
|
|
+ detail::_interpreter::get().s_python_empty_tuple);
|
|
|
+
|
|
|
+ if (!res) throw std::runtime_error("Call to tight_layout() failed.");
|
|
|
+
|
|
|
+ Py_DECREF(res);
|
|
|
+}
|
|
|
+
|
|
|
+// Support for variadic plot() and initializer lists:
|
|
|
+
|
|
|
+namespace detail {
|
|
|
+
|
|
|
+template<typename T>
|
|
|
+using is_function = typename std::is_function<std::remove_pointer<std::remove_reference<T>>>::type;
|
|
|
+
|
|
|
+template<bool obj, typename T>
|
|
|
+struct is_callable_impl;
|
|
|
+
|
|
|
+template<typename T>
|
|
|
+struct is_callable_impl<false, T>
|
|
|
+{
|
|
|
+ typedef is_function<T> type;
|
|
|
+}; // a non-object is callable iff it is a function
|
|
|
+
|
|
|
+template<typename T>
|
|
|
+struct is_callable_impl<true, T>
|
|
|
+{
|
|
|
+ struct Fallback { void operator()(); };
|
|
|
+ struct Derived : T, Fallback { };
|
|
|
+
|
|
|
+ template<typename U, U> struct Check;
|
|
|
+
|
|
|
+ template<typename U>
|
|
|
+ static std::true_type test( ... ); // use a variadic function to make sure (1) it accepts everything and (2) its always the worst match
|
|
|
+
|
|
|
+ template<typename U>
|
|
|
+ static std::false_type test( Check<void(Fallback::*)(), &U::operator()>* );
|
|
|
+
|
|
|
+public:
|
|
|
+ typedef decltype(test<Derived>(nullptr)) type;
|
|
|
+ typedef decltype(&Fallback::operator()) dtype;
|
|
|
+ static constexpr bool value = type::value;
|
|
|
+}; // an object is callable iff it defines operator()
|
|
|
+
|
|
|
+template<typename T>
|
|
|
+struct is_callable
|
|
|
+{
|
|
|
+ // dispatch to is_callable_impl<true, T> or is_callable_impl<false, T> depending on whether T is of class type or not
|
|
|
+ typedef typename is_callable_impl<std::is_class<T>::value, T>::type type;
|
|
|
+};
|
|
|
+
|
|
|
+template<typename IsYDataCallable>
|
|
|
+struct plot_impl { };
|
|
|
+
|
|
|
+template<>
|
|
|
+struct plot_impl<std::false_type>
|
|
|
+{
|
|
|
+ template<typename IterableX, typename IterableY>
|
|
|
+ bool operator()(const IterableX& x, const IterableY& y, const std::string& format)
|
|
|
+ {
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ // 2-phase lookup for distance, begin, end
|
|
|
+ using std::distance;
|
|
|
+ using std::begin;
|
|
|
+ using std::end;
|
|
|
+
|
|
|
+ auto xs = distance(begin(x), end(x));
|
|
|
+ auto ys = distance(begin(y), end(y));
|
|
|
+ assert(xs == ys && "x and y data must have the same number of elements!");
|
|
|
+
|
|
|
+ PyObject* xlist = PyList_New(xs);
|
|
|
+ PyObject* ylist = PyList_New(ys);
|
|
|
+ PyObject* pystring = PyString_FromString(format.c_str());
|
|
|
+
|
|
|
+ auto itx = begin(x), ity = begin(y);
|
|
|
+ for(size_t i = 0; i < xs; ++i) {
|
|
|
+ PyList_SetItem(xlist, i, PyFloat_FromDouble(*itx++));
|
|
|
+ PyList_SetItem(ylist, i, PyFloat_FromDouble(*ity++));
|
|
|
+ }
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xlist);
|
|
|
+ PyTuple_SetItem(plot_args, 1, ylist);
|
|
|
+ PyTuple_SetItem(plot_args, 2, pystring);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(detail::_interpreter::get().s_python_function_plot, plot_args);
|
|
|
+
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+ if(res) Py_DECREF(res);
|
|
|
+
|
|
|
+ return res;
|
|
|
+ }
|
|
|
+};
|
|
|
+
|
|
|
+template<>
|
|
|
+struct plot_impl<std::true_type>
|
|
|
+{
|
|
|
+ template<typename Iterable, typename Callable>
|
|
|
+ bool operator()(const Iterable& ticks, const Callable& f, const std::string& format)
|
|
|
+ {
|
|
|
+ if(begin(ticks) == end(ticks)) return true;
|
|
|
+
|
|
|
+ // We could use additional meta-programming to deduce the correct element type of y,
|
|
|
+ // but all values have to be convertible to double anyways
|
|
|
+ std::vector<double> y;
|
|
|
+ for(auto x : ticks) y.push_back(f(x));
|
|
|
+ return plot_impl<std::false_type>()(ticks,y,format);
|
|
|
+ }
|
|
|
+};
|
|
|
+
|
|
|
+} // end namespace detail
|
|
|
+
|
|
|
+// recursion stop for the above
|
|
|
+template<typename... Args>
|
|
|
+bool plot() { return true; }
|
|
|
+
|
|
|
+template<typename A, typename B, typename... Args>
|
|
|
+bool plot(const A& a, const B& b, const std::string& format, Args... args)
|
|
|
+{
|
|
|
+ return detail::plot_impl<typename detail::is_callable<B>::type>()(a,b,format) && plot(args...);
|
|
|
+}
|
|
|
+
|
|
|
+/*
|
|
|
+ * This group of plot() functions is needed to support initializer lists, i.e. calling
|
|
|
+ * plot( {1,2,3,4} )
|
|
|
+ */
|
|
|
+inline bool plot(const std::vector<double>& x, const std::vector<double>& y, const std::string& format = "") {
|
|
|
+ return plot<double,double>(x,y,format);
|
|
|
+}
|
|
|
+
|
|
|
+inline bool plot(const std::vector<double>& y, const std::string& format = "") {
|
|
|
+ return plot<double>(y,format);
|
|
|
+}
|
|
|
+
|
|
|
+inline bool plot(const std::vector<double>& x, const std::vector<double>& y, const std::map<std::string, std::string>& keywords) {
|
|
|
+ return plot<double>(x,y,keywords);
|
|
|
+}
|
|
|
+
|
|
|
+/*
|
|
|
+ * This class allows dynamic plots, ie changing the plotted data without clearing and re-plotting
|
|
|
+ */
|
|
|
+class Plot
|
|
|
+{
|
|
|
+public:
|
|
|
+ // default initialization with plot label, some data and format
|
|
|
+ template<typename Numeric>
|
|
|
+ Plot(const std::string& name, const std::vector<Numeric>& x, const std::vector<Numeric>& y, const std::string& format = "") {
|
|
|
+ detail::_interpreter::get();
|
|
|
+
|
|
|
+ assert(x.size() == y.size());
|
|
|
+
|
|
|
+ PyObject* kwargs = PyDict_New();
|
|
|
+ if(name != "")
|
|
|
+ PyDict_SetItemString(kwargs, "label", PyString_FromString(name.c_str()));
|
|
|
+
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* pystring = PyString_FromString(format.c_str());
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(3);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+ PyTuple_SetItem(plot_args, 2, pystring);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_plot, plot_args, kwargs);
|
|
|
+
|
|
|
+ Py_DECREF(kwargs);
|
|
|
+ Py_DECREF(plot_args);
|
|
|
+
|
|
|
+ if(res)
|
|
|
+ {
|
|
|
+ line= PyList_GetItem(res, 0);
|
|
|
+
|
|
|
+ if(line)
|
|
|
+ set_data_fct = PyObject_GetAttrString(line,"set_data");
|
|
|
+ else
|
|
|
+ Py_DECREF(line);
|
|
|
+ Py_DECREF(res);
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // shorter initialization with name or format only
|
|
|
+ // basically calls line, = plot([], [])
|
|
|
+ Plot(const std::string& name = "", const std::string& format = "")
|
|
|
+ : Plot(name, std::vector<double>(), std::vector<double>(), format) {}
|
|
|
+
|
|
|
+ template<typename Numeric>
|
|
|
+ bool update(const std::vector<Numeric>& x, const std::vector<Numeric>& y) {
|
|
|
+ assert(x.size() == y.size());
|
|
|
+ if(set_data_fct)
|
|
|
+ {
|
|
|
+ PyObject* xarray = detail::get_array(x);
|
|
|
+ PyObject* yarray = detail::get_array(y);
|
|
|
+
|
|
|
+ PyObject* plot_args = PyTuple_New(2);
|
|
|
+ PyTuple_SetItem(plot_args, 0, xarray);
|
|
|
+ PyTuple_SetItem(plot_args, 1, yarray);
|
|
|
+
|
|
|
+ PyObject* res = PyObject_CallObject(set_data_fct, plot_args);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+ return res;
|
|
|
+ }
|
|
|
+ return false;
|
|
|
+ }
|
|
|
+
|
|
|
+ // clears the plot but keep it available
|
|
|
+ bool clear() {
|
|
|
+ return update(std::vector<double>(), std::vector<double>());
|
|
|
+ }
|
|
|
+
|
|
|
+ // definitely remove this line
|
|
|
+ void remove() {
|
|
|
+ if(line)
|
|
|
+ {
|
|
|
+ auto remove_fct = PyObject_GetAttrString(line,"remove");
|
|
|
+ PyObject* args = PyTuple_New(0);
|
|
|
+ PyObject* res = PyObject_CallObject(remove_fct, args);
|
|
|
+ if (res) Py_DECREF(res);
|
|
|
+ }
|
|
|
+ decref();
|
|
|
+ }
|
|
|
+
|
|
|
+ ~Plot() {
|
|
|
+ decref();
|
|
|
+ }
|
|
|
+private:
|
|
|
+
|
|
|
+ void decref() {
|
|
|
+ if(line)
|
|
|
+ Py_DECREF(line);
|
|
|
+ if(set_data_fct)
|
|
|
+ Py_DECREF(set_data_fct);
|
|
|
+ }
|
|
|
+
|
|
|
+
|
|
|
+ PyObject* line = nullptr;
|
|
|
+ PyObject* set_data_fct = nullptr;
|
|
|
+};
|
|
|
+
|
|
|
+} // end namespace matplotlibcpp
|
