private void GetArgs(object[] inargs, CallInfo callInfo, out PyTuple args, out PyDict kwargs)
{
if (callInfo == null || callInfo.ArgumentNames.Count == 0)
{
GetArgs(inargs, out args, out kwargs);
return;
}
// Support for .net named arguments
var namedArgumentCount = callInfo.ArgumentNames.Count;
var regularArgumentCount = callInfo.ArgumentCount - namedArgumentCount;
var argTuple = Runtime.PyTuple_New(regularArgumentCount);
for (int i = 0; i < regularArgumentCount; ++i)
{
AddArgument(argTuple, i, inargs[i]);
}
args = new PyTuple(argTuple);
var namedArgs = new object[namedArgumentCount * 2];
for (int i = 0; i < namedArgumentCount; ++i)
{
namedArgs[i * 2] = callInfo.ArgumentNames[i];
namedArgs[i * 2 + 1] = inargs[regularArgumentCount + i];
}
kwargs = Py.kw(namedArgs);
}
public static byte[] SaveFigureToArray(PyObject fig, int dpi = 200, string format = "png")
{
if (fig.GetPythonType().Handle != PltFigureType)
{
throw new Exception("object is not a matplotlib Figure");
}
dynamic _np = np;
//buf = io.BytesIO()
dynamic buf = BytesIO.Invoke();
//fig.savefig(buf, dpi=__dpi__, format='png')
fig.InvokeMethod("savefig", new PyTuple(new PyObject[] { buf }), Py.kw("dpi", dpi, "format", format));
var buf_out = _np.array(buf.getbuffer(), Py.kw("dtype", Numpy.GetNumpyDataType(typeof(byte))));
var arr = Numpy.ToArray(buf_out);
return((byte[])arr);
}