code example from the 2.2.0 documentation fails

[fabrice-ducos]

In the "Loading Iris cubes" section, the following example code is provided.

import iris
filename = iris.sample_data_path('uk_hires.pp')
cubes = iris.load(filename)
print(cubes)

When attempting to test this code (configuration: OSX Mojave, python 3.7.3, anaconda 3, iris 2.2.0, sample data properly installed), I get the following error on the iris.load() call:

    721 
    722     # Ensure we have write permission on the data buffer.
--> 723     data.setflags(write=True)
    724 
    725     # Ensure the data is in the native byte order

ValueError: cannot set WRITEABLE flag to True of this array

[pp-mo]

This broke at numpy 1.16, has been fixed in 2.2.1 : #3257

[bjlittle]

Thanks for raising this @fabrice-ducos

As @pp-mo mentions, this has been fixed in our latest release of iris version 2.2.1.

I'm going to close this issue as it has already been resolved. Please install the latest version of iris which is available from conda-forge. Thanks!

>>> import iris
>>> iris.__version__
'2.2.1dev0'
>>> import numpy as np
>>> np.__version__
'1.16.4'
>>> fname = iris.sample_data_path('uk_hires.pp')
>>> cubes = iris.load(fname)
>>> print(cubes)
0: air_potential_temperature / (K)     (time: 3; model_level_number: 7; grid_latitude: 204; grid_longitude: 187)
1: surface_altitude / (m)              (grid_latitude: 204; grid_longitude: 187)