|
|
@ -34,6 +34,11 @@ The easiest way to install wrf-python is using |
|
|
|
|
|
|
|
|
|
|
|
$ conda install -c conda-forge wrf-python |
|
|
|
$ conda install -c conda-forge wrf-python |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
While some bugs are currently being ironed out with the conda-forge |
|
|
|
|
|
|
|
installation, wrf-python is also available at:: |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
$ conda install -c bladwig wrf-python |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Installing via Source Code |
|
|
|
Installing via Source Code |
|
|
|
-------------------------- |
|
|
|
-------------------------- |
|
|
@ -50,4 +55,9 @@ To install, change to the wrf-python directory and run:: |
|
|
|
|
|
|
|
|
|
|
|
$ pip install . |
|
|
|
$ pip install . |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Note that building on Win64 with Python 3.5+ and the mingw-64 compiler |
|
|
|
|
|
|
|
is very difficult, due to incompatibilities with the runtime libraries and |
|
|
|
|
|
|
|
lack of support from numpy's distutils. Improved support for these |
|
|
|
|
|
|
|
configurations, along with numpy distutils support, should take place this |
|
|
|
|
|
|
|
year. But for now, visual studio and the intel compiler may be required. |
|
|
|
|
|
|
|
Otherwise, Python 2.7 or Python 3.4 is recommended. |
|
|
|