Extending C with Python
Hello, I'm extending C with python (which is opposite way of what people usually do, extending python with C), I'm currently stuck in passing a C array to python layer, could anyone plz advise? I have a C buffer in my C code and want to pass it to a python function. In the C code, I have: npy_intp dims [2];
dims[0] = 10; dims[1] = 20; import_array(); npy_intp m=2; PyObject * py_dims = PyArray_SimpleNewFromData(1, &m, NPY_INT16 ,(void *)dims ); // I also tried NPY_INT PyObject_CallMethod(pInstance, method_name, "O", py_dims);
In the Python code, I want to just print that array: def f(self, dims): print ("np array:%d,%d"%(dims[0],dims[1])) But it only prints the first number correctly, i.e., dims[0]. The second number is always 0. Best, Jialin LBNL/NERSC
On Wed, Jan 31, 2018 at 3:25 PM, Jialin Liu <jalnliu@lbl.gov> wrote:
Hello, I'm extending C with python (which is opposite way of what people usually do, extending python with C), I'm currently stuck in passing a C array to python layer, could anyone plz advise?
I have a C buffer in my C code and want to pass it to a python function. In the C code, I have:
npy_intp dims [2];
dims[0] = 10; dims[1] = 20; import_array(); npy_intp m=2; PyObject * py_dims = PyArray_SimpleNewFromData(1, &m, NPY_INT16 ,(void *)dims ); // I also tried NPY_INT PyObject_CallMethod(pInstance, method_name, "O", py_dims);
In the Python code, I want to just print that array:
def f(self, dims):
print ("np array:%d,%d"%(dims[0],dims[1]))
But it only prints the first number correctly, i.e., dims[0]. The second number is always 0.
The correct typecode would be NPY_INTP. -- Robert Kern
Amazing! It works! Thank you Robert. I've been stuck with this many days. Best, Jialin LBNL/NERSC On Tue, Jan 30, 2018 at 10:52 PM, Robert Kern <robert.kern@gmail.com> wrote:
On Wed, Jan 31, 2018 at 3:25 PM, Jialin Liu <jalnliu@lbl.gov> wrote:
Hello, I'm extending C with python (which is opposite way of what people usually do, extending python with C), I'm currently stuck in passing a C array to python layer, could anyone plz advise?
I have a C buffer in my C code and want to pass it to a python function. In the C code, I have:
npy_intp dims [2];
dims[0] = 10; dims[1] = 20; import_array(); npy_intp m=2; PyObject * py_dims = PyArray_SimpleNewFromData(1, &m, NPY_INT16 ,(void *)dims ); // I also tried NPY_INT PyObject_CallMethod(pInstance, method_name, "O", py_dims);
In the Python code, I want to just print that array:
def f(self, dims):
print ("np array:%d,%d"%(dims[0],dims[1]))
But it only prints the first number correctly, i.e., dims[0]. The second number is always 0.
The correct typecode would be NPY_INTP.
-- Robert Kern
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I'm guessing you could use Cython to make this easier. It's usually used for calling C from Python, but can do the sandwich in both directions... Just a thought -- it will help with some of that boilerplate code... -CHB On Tue, Jan 30, 2018 at 10:57 PM, Jialin Liu <jalnliu@lbl.gov> wrote:
Amazing! It works! Thank you Robert.
I've been stuck with this many days.
Best, Jialin LBNL/NERSC
On Tue, Jan 30, 2018 at 10:52 PM, Robert Kern <robert.kern@gmail.com> wrote:
On Wed, Jan 31, 2018 at 3:25 PM, Jialin Liu <jalnliu@lbl.gov> wrote:
Hello, I'm extending C with python (which is opposite way of what people usually do, extending python with C), I'm currently stuck in passing a C array to python layer, could anyone plz advise?
I have a C buffer in my C code and want to pass it to a python function. In the C code, I have:
npy_intp dims [2];
dims[0] = 10; dims[1] = 20; import_array(); npy_intp m=2; PyObject * py_dims = PyArray_SimpleNewFromData(1, &m, NPY_INT16 ,(void *)dims ); // I also tried NPY_INT PyObject_CallMethod(pInstance, method_name, "O", py_dims);
In the Python code, I want to just print that array:
def f(self, dims):
print ("np array:%d,%d"%(dims[0],dims[1]))
But it only prints the first number correctly, i.e., dims[0]. The second number is always 0.
The correct typecode would be NPY_INTP.
-- Robert Kern
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
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-- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception Chris.Barker@noaa.gov
On 31.01.2018 17:58, Chris Barker wrote:
I'm guessing you could use Cython to make this easier.
... or Boost.Python (http://boostorg.github.io/python), which has built-in support for NumPy (http://boostorg.github.io/python/doc/html/numpy/index.html), and supports both directions: extending Python with C++, as well as embedding Python into C++ applications. Stefan -- ...ich hab' noch einen Koffer in Berlin...
You can also check out pybind11, xtensor, and xtensor-python The latter enables a high-level numpy-like API on the C++ side. You can check out the numpy to xtensor cheat sheet: http://xtensor.readthedocs.io/en/latest/numpy.html Best, Sylvain On Thu, Feb 1, 2018 at 12:11 AM, Stefan Seefeld <stefan@seefeld.name> wrote:
On 31.01.2018 17:58, Chris Barker wrote:
I'm guessing you could use Cython to make this easier.
... or Boost.Python (http://boostorg.github.io/python), which has built-in support for NumPy (http://boostorg.github.io/ python/doc/html/numpy/index.html), and supports both directions: extending Python with C++, as well as embedding Python into C++ applications.
[image: Stefan]
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Thank you guys. Best, Jialin Sent from my iPhone
On Feb 3, 2018, at 8:11 AM, Sylvain Corlay <sylvain.corlay@gmail.com> wrote:
You can also check out pybind11, xtensor, and xtensor-python
The latter enables a high-level numpy-like API on the C++ side.
You can check out the numpy to xtensor cheat sheet:
http://xtensor.readthedocs.io/en/latest/numpy.html
Best,
Sylvain
On Thu, Feb 1, 2018 at 12:11 AM, Stefan Seefeld <stefan@seefeld.name> wrote:
On 31.01.2018 17:58, Chris Barker wrote: I'm guessing you could use Cython to make this easier.
... or Boost.Python (http://boostorg.github.io/python), which has built-in support for NumPy (http://boostorg.github.io/python/doc/html/numpy/index.html), and supports both directions: extending Python with C++, as well as embedding Python into C++ applications.
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...ich hab' noch einen Koffer in Berlin...
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With PyObject_CallMethod(pInstance, method_name, "O", py_dims); Can I pass in a reference and modify its content in python? Best, Jialin On Sat, Feb 3, 2018 at 10:29 AM, Jialin Liu <jalnliu@lbl.gov> wrote:
Thank you guys.
Best, Jialin
Sent from my iPhone
On Feb 3, 2018, at 8:11 AM, Sylvain Corlay <sylvain.corlay@gmail.com> wrote:
You can also check out pybind11, xtensor, and xtensor-python
The latter enables a high-level numpy-like API on the C++ side.
You can check out the numpy to xtensor cheat sheet:
http://xtensor.readthedocs.io/en/latest/numpy.html
Best,
Sylvain
On Thu, Feb 1, 2018 at 12:11 AM, Stefan Seefeld <stefan@seefeld.name> wrote:
On 31.01.2018 17:58, Chris Barker wrote:
I'm guessing you could use Cython to make this easier.
... or Boost.Python (http://boostorg.github.io/python), which has built-in support for NumPy (http://boostorg.github.io/pyt hon/doc/html/numpy/index.html), and supports both directions: extending Python with C++, as well as embedding Python into C++ applications.
<signature.png>
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participants (5)
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Chris Barker -
Jialin Liu -
Robert Kern -
Stefan Seefeld -
Sylvain Corlay