conda-forge version nuget preview shield Calling .NET code from Python
Python.NET allows CLR namespaces to be treated essentially as Python packages.
import clr
from System import String
from System.Collections import *
To load an assembly, use the AddReference function in the clr
module:
import clr
clr.AddReference("System.Windows.Forms")
from System.Windows.Forms import Form
By default, Mono will be used on Linux and macOS, .NET Framework on Windows. For details on the loading of different runtimes, please refer to the documentation.
If .NET Core is installed in a default location or the dotnet CLI tool is on
the PATH, loading it instead of the default (Mono/.NET Framework) runtime
just requires setting either the environment variable
PYTHONNET_RUNTIME=coreclr or calling pythonnet.load explicitly:
from pythonnet import load
load("coreclr")
import clr
Runtime.PythonDLL property or PYTHONNET_PYDLL environment variable
starting with version 3.0, otherwise you will receive BadPythonDllException
(internal, derived from MissingMethodException) upon calling Initialize.
Typical values are python38.dll (Windows), libpython3.8.dylib (Mac),
libpython3.8.so (most other Unix-like operating systems).PythonEngine.Initialize(). If you plan to use Python objects from
multiple threads, also call PythonEngine.BeginAllowThreads().using (Py.GIL()) {/* Your code here */} block.dynamic mod = Py.Import("mod"), then
you can call functions as normal, eg mod.func(args).mod.func(args, Py.kw("keywordargname", keywordargvalue)) or
mod.func(args, keywordargname: keywordargvalue) to apply keyword
arguments.dynamic type.np.pi * 2 works,
2 * np.pi doesn't.
static void Main(string[] args)
{
PythonEngine.Initialize();
using (Py.GIL())
{
dynamic np = Py.Import("numpy");
Console.WriteLine(np.cos(np.pi * 2));
dynamic sin = np.sin;
Console.WriteLine(sin(5));
double c = (double)(np.cos(5) + sin(5));
Console.WriteLine(c);
dynamic a = np.array(new List<float> { 1, 2, 3 });
Console.WriteLine(a.dtype);
dynamic b = np.array(new List<float> { 6, 5, 4 }, dtype: np.int32);
Console.WriteLine(b.dtype);
Console.WriteLine(a * b);
Console.ReadKey();
}
}
Output:
1.0
-0.958924274663
-0.6752620892
float64
int32
[ 6. 10. 12.]
Information on installation, FAQ, troubleshooting, debugging, and projects using pythonnet can be found in the Wiki:
https://mail.python.org/mailman/listinfo/pythondotnet
This project is supported by the /MicroDistanceStudio/pythonnet/tree/master