Comments (2)
The package is tested against Python 2.7, 3.3 and 3.4 so you should be OK. I'll add something to the documentation to help users know this.
The Python 3 support consists of using the 2to3 tool to convert the source to Python 3 compatible before installation (setuptools/pip does this automatically when installing).
The reason you see the test failure is you are testing against the source code which is written for Python 2, on Python 3 you should test the the installed version. You can do this after you have installed windspharm by going into some directory that is not the windspharm directory (or another Python code directory) and naming the package on the nosetests
command line:
mkdir ~/test_directory
cd ~/test_directory
nosetests windspharm -sv
from windspharm.
Perfect! It works. Thanks
from windspharm.
Related Issues (20)
- numpy.float64 object cannot be interpreted as an index HOT 1
- Class instance fails if u and v are just lat,long arrays with no other (eg time) dimension HOT 3
- Memory conservation: legfunc kwarg HOT 2
- Conda Install Packages Not Found HOT 3
- Enhancement - including APIs for adding filters HOT 1
- Curious issue creating WindVector from 2D arrays HOT 2
- divergence is not right? HOT 4
- Calculating shear and stretch deform using windspharm HOT 4
- take divergence and vorticity as input HOT 1
- Issue attempting to import Windspharm in script HOT 2
- Importing JRA-55 files with windspharm
- Problem with computing vorticity of NWP model output
- ValueError: Cube 'U velocity' must contain a single 1D x coordinate. HOT 1
- Typo in windspharm.xarray docs
- windspharm future
- prep_data occur TypeError: unhashable type: 'list' HOT 1
- Possible issue with windspharm package's calculations of irrotational winds
- installation on Apple silicon HOT 2
- windspharm.iris.VectorWind fails with Numpy v1.24 HOT 1
- ValueError: equally-spaced latitudes are invalid (they may be non-global) HOT 1
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