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matplotlibcpp.h
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#pragma once
#include <vector>
#include <map>
#include <array>
#include <numeric>
#include <algorithm>
#include <stdexcept>
#include <iostream>
#include <cstdint> // <cstdint> requires c++11 support
#include <functional>
#include <Python.h>
#ifndef WITHOUT_NUMPY
# define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
# include <numpy/arrayobject.h>
#endif // WITHOUT_NUMPY
#if PY_MAJOR_VERSION >= 3
# define PyString_FromString PyUnicode_FromString
# define PyInt_FromLong PyLong_FromLong
# define PyString_FromString PyUnicode_FromString
#endif
namespace matplotlibcpp {
namespace detail {
static std::string s_backend;
struct _interpreter {
PyObject *s_python_function_show;
PyObject *s_python_function_colorbar;
PyObject *s_python_function_close;
PyObject *s_python_function_draw;
PyObject *s_python_function_pause;
PyObject *s_python_function_save;
PyObject *s_python_function_figure;
PyObject *s_python_function_fignum_exists;
PyObject *s_python_function_plot;
PyObject *s_python_function_quiver;
PyObject *s_python_function_semilogx;
PyObject *s_python_function_semilogy;
PyObject *s_python_function_loglog;
PyObject *s_python_function_fill;
PyObject *s_python_function_fill_between;
PyObject *s_python_function_hist;
PyObject *s_python_function_scatter;
PyObject *s_python_function_subplot;
PyObject *s_python_function_legend;
PyObject *s_python_function_xlim;
PyObject *s_python_function_ion;
PyObject *s_python_function_ginput;
PyObject *s_python_function_ylim;
PyObject *s_python_function_title;
PyObject *s_python_function_axis;
PyObject *s_python_function_xlabel;
PyObject *s_python_function_ylabel;
PyObject *s_python_function_xticks;
PyObject *s_python_function_yticks;
PyObject *s_python_function_grid;
PyObject *s_python_function_clf;
PyObject *s_python_function_errorbar;
PyObject *s_python_function_annotate;
PyObject *s_python_function_tight_layout;
PyObject *s_python_colormap;
PyObject *s_python_function_listedcolormap;
PyObject *s_python_empty_tuple;
PyObject *s_python_function_stem;
PyObject *s_python_function_xkcd;
PyObject *s_python_function_text;
PyObject *s_python_function_suptitle;
PyObject *s_python_function_bar;
PyObject *s_python_function_subplots_adjust;
/* For now, _interpreter is implemented as a singleton since its currently not possible to have
multiple independent embedded python interpreters without patching the python source code
or starting a separate process for each.
http://bytes.com/topic/python/answers/793370-multiple-independent-python-interpreters-c-c-program
*/
static _interpreter& get() {
static _interpreter ctx;
return ctx;
}
private:
#ifndef WITHOUT_NUMPY
# if PY_MAJOR_VERSION >= 3
void *import_numpy() {
import_array(); // initialize C-API
return NULL;
}
# else
void import_numpy() {
import_array(); // initialize C-API
}
# endif
#endif
_interpreter() {
// optional but recommended
#if PY_MAJOR_VERSION >= 3
wchar_t name[] = L"plotting";
#else
char name[] = "plotting";
#endif
Py_SetProgramName(name);
Py_Initialize();
#ifndef WITHOUT_NUMPY
import_numpy(); // initialize numpy C-API
#endif
PyObject* matplotlibname = PyString_FromString("matplotlib");
PyObject* pyplotname = PyString_FromString("matplotlib.pyplot");
PyObject* cmname = PyString_FromString("matplotlib.cm");
PyObject* colorsname = PyString_FromString("matplotlib.colors.");
PyObject* pylabname = PyString_FromString("pylab");
if (!pyplotname || !pylabname || !matplotlibname || !cmname || !colorsname) {
throw std::runtime_error("couldnt create string");
}
PyObject* matplotlib = PyImport_Import(matplotlibname);
Py_DECREF(matplotlibname);
if (!matplotlib) {
PyErr_Print();
throw std::runtime_error("Error loading module matplotlib!");
}
// matplotlib.use() must be called *before* pylab, matplotlib.pyplot,
// or matplotlib.backends is imported for the first time
if (!s_backend.empty()) {
PyObject_CallMethod(matplotlib, const_cast<char*>("use"), const_cast<char*>("s"), s_backend.c_str());
}
PyObject* pymod = PyImport_Import(pyplotname);
Py_DECREF(pyplotname);
if (!pymod) { throw std::runtime_error("Error loading module matplotlib.pyplot!"); }
s_python_colormap = PyImport_Import(cmname);
Py_DECREF(cmname);
if (!s_python_colormap) { throw std::runtime_error("Error loading module matplotlib.cm!"); }
PyObject* pltcolors = PyImport_Import(colorsname);
Py_DECREF(colorsname);
if (!pltcolors) { throw std::runtime_error("Error loading module matplotlib.colors!"); }
PyObject* pylabmod = PyImport_Import(pylabname);
Py_DECREF(pylabname);
if (!pylabmod) { throw std::runtime_error("Error loading module pylab!"); }
s_python_function_show = PyObject_GetAttrString(pymod, "show");
s_python_function_colorbar = PyObject_GetAttrString(pymod, "colorbar");
s_python_function_listedcolormap = PyObject_GetAttrString(pltcolors, "ListedColormap");
s_python_function_close = PyObject_GetAttrString(pymod, "close");
s_python_function_draw = PyObject_GetAttrString(pymod, "draw");
s_python_function_pause = PyObject_GetAttrString(pymod, "pause");
s_python_function_figure = PyObject_GetAttrString(pymod, "figure");
s_python_function_fignum_exists = PyObject_GetAttrString(pymod, "fignum_exists");
s_python_function_plot = PyObject_GetAttrString(pymod, "plot");
s_python_function_quiver = PyObject_GetAttrString(pymod, "quiver");
s_python_function_semilogx = PyObject_GetAttrString(pymod, "semilogx");
s_python_function_semilogy = PyObject_GetAttrString(pymod, "semilogy");
s_python_function_loglog = PyObject_GetAttrString(pymod, "loglog");
s_python_function_fill = PyObject_GetAttrString(pymod, "fill");
s_python_function_fill_between = PyObject_GetAttrString(pymod, "fill_between");
s_python_function_hist = PyObject_GetAttrString(pymod,"hist");
s_python_function_scatter = PyObject_GetAttrString(pymod,"scatter");
s_python_function_subplot = PyObject_GetAttrString(pymod, "subplot");
s_python_function_legend = PyObject_GetAttrString(pymod, "legend");
s_python_function_ylim = PyObject_GetAttrString(pymod, "ylim");
s_python_function_title = PyObject_GetAttrString(pymod, "title");
s_python_function_axis = PyObject_GetAttrString(pymod, "axis");
s_python_function_xlabel = PyObject_GetAttrString(pymod, "xlabel");
s_python_function_ylabel = PyObject_GetAttrString(pymod, "ylabel");
s_python_function_xticks = PyObject_GetAttrString(pymod, "xticks");
s_python_function_yticks = PyObject_GetAttrString(pymod, "yticks");
s_python_function_grid = PyObject_GetAttrString(pymod, "grid");
s_python_function_xlim = PyObject_GetAttrString(pymod, "xlim");
s_python_function_ion = PyObject_GetAttrString(pymod, "ion");
s_python_function_ginput = PyObject_GetAttrString(pymod, "ginput");
s_python_function_save = PyObject_GetAttrString(pylabmod, "savefig");
s_python_function_annotate = PyObject_GetAttrString(pymod,"annotate");
s_python_function_clf = PyObject_GetAttrString(pymod, "clf");
s_python_function_errorbar = PyObject_GetAttrString(pymod, "errorbar");
s_python_function_tight_layout = PyObject_GetAttrString(pymod, "tight_layout");
s_python_function_stem = PyObject_GetAttrString(pymod, "stem");
s_python_function_xkcd = PyObject_GetAttrString(pymod, "xkcd");
s_python_function_text = PyObject_GetAttrString(pymod, "text");
s_python_function_suptitle = PyObject_GetAttrString(pymod, "suptitle");
s_python_function_bar = PyObject_GetAttrString(pymod,"bar");
s_python_function_subplots_adjust = PyObject_GetAttrString(pymod,"subplots_adjust");
if( !s_python_function_show
|| !s_python_function_colorbar
|| !s_python_function_listedcolormap
|| !s_python_function_close
|| !s_python_function_draw
|| !s_python_function_pause
|| !s_python_function_figure
|| !s_python_function_fignum_exists
|| !s_python_function_plot
|| !s_python_function_quiver
|| !s_python_function_semilogx
|| !s_python_function_semilogy
|| !s_python_function_loglog
|| !s_python_function_fill
|| !s_python_function_fill_between
|| !s_python_function_subplot
|| !s_python_function_legend
|| !s_python_function_ylim
|| !s_python_function_title
|| !s_python_function_axis
|| !s_python_function_xlabel
|| !s_python_function_ylabel
|| !s_python_function_grid
|| !s_python_function_xlim
|| !s_python_function_ion
|| !s_python_function_ginput
|| !s_python_function_save
|| !s_python_function_clf
|| !s_python_function_annotate
|| !s_python_function_errorbar
|| !s_python_function_errorbar
|| !s_python_function_tight_layout
|| !s_python_function_stem
|| !s_python_function_xkcd
|| !s_python_function_text
|| !s_python_function_suptitle
|| !s_python_function_bar
|| !s_python_function_subplots_adjust
) { throw std::runtime_error("Couldn't find required function!"); }
if ( !PyFunction_Check(s_python_function_show)
|| !PyFunction_Check(s_python_function_colorbar)
//|| !PyFunction_Check(s_python_function_listedcolormap)
|| !PyFunction_Check(s_python_function_close)
|| !PyFunction_Check(s_python_function_draw)
|| !PyFunction_Check(s_python_function_pause)
|| !PyFunction_Check(s_python_function_figure)
|| !PyFunction_Check(s_python_function_fignum_exists)
|| !PyFunction_Check(s_python_function_plot)
|| !PyFunction_Check(s_python_function_quiver)
|| !PyFunction_Check(s_python_function_semilogx)
|| !PyFunction_Check(s_python_function_semilogy)
|| !PyFunction_Check(s_python_function_loglog)
|| !PyFunction_Check(s_python_function_fill)
|| !PyFunction_Check(s_python_function_fill_between)
|| !PyFunction_Check(s_python_function_subplot)
|| !PyFunction_Check(s_python_function_legend)
|| !PyFunction_Check(s_python_function_annotate)
|| !PyFunction_Check(s_python_function_ylim)
|| !PyFunction_Check(s_python_function_title)
|| !PyFunction_Check(s_python_function_axis)
|| !PyFunction_Check(s_python_function_xlabel)
|| !PyFunction_Check(s_python_function_ylabel)
|| !PyFunction_Check(s_python_function_grid)
|| !PyFunction_Check(s_python_function_xlim)
|| !PyFunction_Check(s_python_function_ion)
|| !PyFunction_Check(s_python_function_ginput)
|| !PyFunction_Check(s_python_function_save)
|| !PyFunction_Check(s_python_function_clf)
|| !PyFunction_Check(s_python_function_tight_layout)
|| !PyFunction_Check(s_python_function_errorbar)
|| !PyFunction_Check(s_python_function_stem)
|| !PyFunction_Check(s_python_function_xkcd)
|| !PyFunction_Check(s_python_function_text)
|| !PyFunction_Check(s_python_function_suptitle)
|| !PyFunction_Check(s_python_function_bar)
|| !PyFunction_Check(s_python_function_subplots_adjust)
) { throw std::runtime_error("Python object is unexpectedly not a PyFunction."); }
s_python_empty_tuple = PyTuple_New(0);
}
~_interpreter() {
Py_Finalize();
}
};
} // end namespace detail
// must be called before the first regular call to matplotlib to have any effect
inline void backend(const std::string& name)
{
detail::s_backend = name;
}
inline bool annotate(std::string annotation, double x, double y)
{
PyObject * xy = PyTuple_New(2);
PyObject * str = PyString_FromString(annotation.c_str());
PyTuple_SetItem(xy,0,PyFloat_FromDouble(x));
PyTuple_SetItem(xy,1,PyFloat_FromDouble(y));
PyObject* kwargs = PyDict_New();
PyDict_SetItemString(kwargs, "xy", xy);
PyObject* args = PyTuple_New(1);
PyTuple_SetItem(args, 0, str);
PyObject* res = PyObject_Call(detail::_interpreter::get().s_python_function_annotate, args, kwargs);
Py_DECREF(args);
Py_DECREF(kwargs);
if(res) Py_DECREF(res);
return res;
}
#ifndef WITHOUT_NUMPY
// Type selector for numpy array conversion
template <typename T> struct select_npy_type { const static NPY_TYPES type = NPY_NOTYPE; }; //Default
template <> struct select_npy_type<double> { const static NPY_TYPES type = NPY_DOUBLE; };
template <> struct select_npy_type<float> { const static NPY_TYPES type = NPY_FLOAT; };
template <> struct select_npy_type<bool> { const static NPY_TYPES type = NPY_BOOL; };
template <> struct select_npy_type<int8_t> { const static NPY_TYPES type = NPY_INT8; };
template <> struct select_npy_type<int16_t> { const static NPY_TYPES type = NPY_SHORT; };
template <> struct select_npy_type<int32_t> { const static NPY_TYPES type = NPY_INT; };
template <> struct select_npy_type<int64_t> { const static NPY_TYPES type = NPY_INT64; };
template <> struct select_npy_type<uint8_t> { const static NPY_TYPES type = NPY_UINT8; };
template <> struct select_npy_type<uint16_t> { const static NPY_TYPES type = NPY_USHORT; };
template <> struct select_npy_type<uint32_t> { const static NPY_TYPES type = NPY_ULONG; };
template <> struct select_npy_type<uint64_t> { const static NPY_TYPES type = NPY_UINT64; };
template<typename Numeric>
PyObject* get_array(const std::vector<Numeric>& v)
{
detail::_interpreter::get(); //interpreter needs to be initialized for the numpy commands to work
NPY_TYPES type = select_npy_type<Numeric>::type;
if (type == NPY_NOTYPE)
{
std::vector<double> vd(v.size());
npy_intp vsize = v.size();
std::copy(v.begin(),v.end(),vd.begin());
PyObject* varray = PyArray_SimpleNewFromData(1, &vsize, NPY_DOUBLE, (void*)(vd.data()));
return varray;
}
npy_intp vsize = v.size();
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)
{
detail::_interpreter::get(); //interpreter needs to be initialized for the numpy commands to work
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);
}
PyObject* vectorToTuple_Double(const std::vector<double> &data) {
PyObject* tuple = PyTuple_New( data.size() );
//if (!tuple) throw logic_error("Unable to allocate memory for Python tuple");
for (unsigned int i = 0; i < data.size(); i++) {
PyObject *num = PyLong_FromLong( (double) data[i]);
PyTuple_SET_ITEM(tuple, i, num);
}
return tuple;
}
PyObject* vectorVectorToListTuple_Double(const std::vector< std::vector< double > > &data) {
PyObject* list = PyList_New( data.size() );
//if (!tuple) throw logic_error("Unable to allocate memory for Python tuple");
for (unsigned int i = 0; i < data.size(); i++) {
PyObject* subTuple = NULL;
subTuple = vectorToTuple_Double(data[i]);
PyList_SET_ITEM(list, i, subTuple);
}
return list;
}
#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
PyObject* airl_colormap()
{
size_t nb_col=100;
std::vector<std::vector<double> > color;
for(size_t i=0; i<nb_col; i++){
double x= ((float)i/(float)nb_col);
color.push_back({
(sin(x*2*M_PI + 1.3*M_PI) / 2.0+0.5)*0.8+0.1,
sin(x*2*M_PI)/2*0.6+0.60,
1-(sin(x*2*M_PI+1.6*M_PI)/2+0.5)});
}
PyObject* carray = get_2darray(color);
PyObject* tuple = PyTuple_New( 1);
PyTuple_SET_ITEM(tuple, 0, carray);
PyObject* kwargs = PyDict_New();
if(!PyCallable_Check(detail::_interpreter::get().s_python_function_listedcolormap))
std::cout<<"error not callable"<<std::endl;
PyObject* result = PyObject_CallObject(detail::_interpreter::get().s_python_function_listedcolormap, tuple);
if(!result)
{
std::cout<<"error creating colormap"<<std::endl;
PyErr_Print();
}
Py_DECREF(kwargs);
Py_DECREF(tuple);
return result ;
}
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());
// using numpy arrays
PyObject* xarray = get_array(x);
PyObject* yarray = 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;
}
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>())
{
// 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 = get_2darray(x);
PyObject *yarray = get_2darray(y);
PyObject *zarray = 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) {
PyDict_SetItemString(kwargs, it->first.c_str(),
PyString_FromString(it->second.c_str()));
}
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);
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);
}
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.");
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);
}
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());
// using numpy arrays
PyObject* xarray = get_array(x);
PyObject* yarray = 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());
// using numpy arrays
PyObject* xarray = get_array(x);
PyObject* yarray = 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());
// using numpy arrays
PyObject* xarray = get_array(x);
PyObject* y1array = get_array(y1);
PyObject* y2array = 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 hist(const std::vector<Numeric>& y, long bins=10,std::string color="b",
double alpha=1.0, bool cumulative=false)
{
PyObject* yarray = 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;
}
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
{
assert(x.size() == y.size());
PyObject* xarray = get_array(x);
PyObject* yarray = get_array(y);
PyObject* kwargs = PyDict_New();
PyDict_SetItemString(kwargs, "s", PyLong_FromLong(s));
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 NumericC>
bool scatter(const std::vector<NumericX>& x,
const std::vector<NumericY>& y,
const double s, // The marker size in points**2
const std::vector<std::vector<NumericC> >& c)
{
assert(x.size() == y.size());
PyObject* xarray = get_array(x);
PyObject* yarray = get_array(y);
PyObject* carray = get_2darray(c);
PyObject* kwargs = PyDict_New();
PyDict_SetItemString(kwargs, "s", PyLong_FromLong(s));
PyDict_SetItemString(kwargs, "c", carray);
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 != NULL) {
printf("Result of call: %ld\n", PyInt_AsLong(res));
Py_DECREF(res);
}
else {
Py_DECREF(detail::_interpreter::get().s_python_function_scatter);
PyErr_Print();
fprintf(stderr,"Call failed\n");
return 1;
}
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,
bool show_colormap=false
) // The marker size in points**2
{
assert(x.size() == y.size());
PyObject* xarray = get_array(x);
PyObject* yarray = get_array(y);
PyObject* zarray = get_array(z);
PyObject* kwargs = PyDict_New();
PyDict_SetItemString(kwargs, "s", PyLong_FromLong(s));
PyDict_SetItemString(kwargs, "c", zarray);
PyObject *python_colormap = airl_colormap();
PyDict_SetItemString(kwargs, "cmap", python_colormap);
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);
//auto res = airl_colormap();
if(show_colormap)
colorbar(res);
Py_DECREF(plot_args);
Py_DECREF(kwargs);
Py_DECREF(python_colormap);
if (res != NULL) {
printf("Result of call: %ld\n", PyInt_AsLong(res));
Py_DECREF(res);
}
else {
Py_DECREF(detail::_interpreter::get().s_python_function_scatter);
PyErr_Print();
fprintf(stderr,"Call failed\n");
return 1;
}
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 = {})
{
PyObject* yarray = get_array(y);
std::vector<int> x;
for (int i = 0; i < y.size(); i++)
x.push_back(i);
PyObject* xarray = get_array(x);
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));
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;
}
inline bool subplots_adjust(const std::map<std::string, double>& keywords = {})
{
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)
{
PyObject* yarray = 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());
PyObject* xarray = get_array(x);
PyObject* yarray = 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 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());
PyObject* xarray = get_array(x);
PyObject* yarray = get_array(y);
PyObject* uarray = get_array(u);
PyObject* warray = 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>
bool stem(const std::vector<NumericX>& x, const std::vector<NumericY>& y, const std::string& s = "")
{
assert(x.size() == y.size());
PyObject* xarray = get_array(x);
PyObject* yarray = 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);