Windows Installation¶
The SpacePy team currently provides binary “wheels” via PyPI so it can
be installed on Windows without a compiler. Binaries are provided for
Python 3.6 through 3.10 in 64-bit and 32-bit variants for each.
pip install spacepy
should find and install these binaries.
Our recommended (but not required) Python distribution is Anaconda running 64-bit Python 3. Anaconda includes much of the scientific Python stack. Another excellent distribution is Canopy.
You may need to install the dependencies some way other than pip; for example, if you are running an earlier version of Python. The latest version of many dependencies requires Python 3.6 and pip will not install older versions to get around this. See Dependencies via conda.
Compiling¶
If a binary wheel is not available for your version of Python, pip
will try to compile SpacePy. The only supported compiler is
mingw32
. Install it with:
conda install m2w64-gcc-fortran libpython
This is also required if installing from a source distribution or git checkout.
irbempy
requires Fortran to compile and the only
supported compiler is gnu95
; this is the default and provided
by m2w64-gcc-fortran
.
If you have difficulties, it may be useful to reference the build scripts the SpacePy developers use.
NASA CDF¶
pycdf
requires the NASA CDF library . Binary
installers are available for Windows; be sure to pick the version
that matches your Python installation. The current 32-bit version
is cdf37_1_0-setup-32.exe;
for 64-bit, cdf37_1_0-setup-64.exe.
This is a simple self-extracting installer that can be installed either before or after installing SpacePy.
Dependencies via conda¶
Installation via pip
will automatically install most Python
dependencies (but not the NASA CDF library).
They can also be installed from conda:
conda install numpy scipy matplotlib h5py
Standalone dependencies¶
Most of the SpacePy Dependencies have Windows installers available via
their pages, but pip
or conda
are recommended instead.
Developers¶
If you want to build the documentation yourself (rather than using the documentation shipped with SpacePy), install sphinx and numpydoc. The easiest way is via pip:
pip install sphinx numpydoc
They are also available via conda:
conda install sphinx numpydoc