Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://github.com/Unidata/netcdf4-python/issues/922 below:

Inserting data into variable with unlimited dimension with slice(n, n+1, None) is broken · Issue #922 · Unidata/netcdf4-python · GitHub

Another side effect of #906 it seems

import netCDF4
import numpy as np

with netCDF4.Dataset('test.nc','w') as f:
    f.createDimension('d1',3)
    f.createDimension('d2',None)

    f.createVariable('v1',np.float,('d1','d1',))
    f['v1'][0:1] = np.arange(3)

Running this on 1.5.1.1 gives

1.5.1.1
(0, 3)
Traceback (most recent call last):
  File "01-160948.py", line 23, in <module>
    f['v1'][0:1] = np.arange(3)
  File "netCDF4/_netCDF4.pyx", line 4796, in netCDF4._netCDF4.Variable.__setitem__
  File "/home/cpa/.pyenv/versions/miniconda2-4.3.30/envs/pytesmo/lib/python3.7/site-packages/netCDF4/utils.py", line 374, in _StartCountStride
    datashapenew = datashapenew + (datashape[i],)
IndexError: tuple index out of range

on 1.5.0.1 it works and gives

The following is also broken so it is not only for the first element:

import netCDF4
import numpy as np

with netCDF4.Dataset('test.nc','w') as f:
    f.createDimension('d1',3)
    f.createDimension('d2',None)

    f.createVariable('v1',np.float,('d2','d1'))
    print(f['v1'].shape)
    f['v1'][0] = np.arange(3)
    print(f['v1'].shape)
    f['v1'][1:2] = np.arange(3)
    print(f['v1'].shape)

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4