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Fix bug when reading single level (e.g. surface) UM files #642

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merged 6 commits into from
Apr 27, 2023
Merged

Fix bug when reading single level (e.g. surface) UM files #642

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4d990c6
pre-release
davidhassell Apr 27, 2023
d1a526f
NetCDFArray new API
davidhassell Apr 27, 2023
f73f9b3
scipy version
davidhassell Apr 27, 2023
a907629
linting
davidhassell Apr 27, 2023
0d3b34a
typo
davidhassell Apr 27, 2023
cdcd4d7
Remove unneeded Changelog entry
davidhassell Apr 27, 2023
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2 changes: 1 addition & 1 deletion cf/read_write/um/umread.py
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Expand Up @@ -1970,7 +1970,7 @@ def create_data(self):
# ----------------------------------------------------
# 1-d partition matrix
# ----------------------------------------------------
z_axis = _axis[self.z_axis]
z_axis = _axis.get(self.z_axis)
if nz > 1:
pmaxes = [z_axis]
data_shape = (nz, LBROW, LBNPT)
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2 changes: 1 addition & 1 deletion docs/source/installation.rst
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Expand Up @@ -255,7 +255,7 @@ environments for which these features are not required.

.. rubric:: Convolution filters, derivatives and relative vorticity

* `scipy <https://pypi.org/project/scipy>`_, version 1.1.0 or newer.
* `scipy <https://pypi.org/project/scipy>`_, version 1.10.0 or newer.
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.. rubric:: Subspacing based on N-dimensional construct cells (N > 1)
containing a given value
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5 changes: 2 additions & 3 deletions docs/source/tutorial.py
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Expand Up @@ -758,9 +758,8 @@
import netCDF4
nc = netCDF4.Dataset('file.nc', 'r')
v = nc.variables['ta']
netcdf_array = cf.NetCDFArray(filename='file.nc', ncvar='ta',
dtype=v.dtype, ndim=v.ndim,
shape=v.shape, size=v.size)
netcdf_array = cf.NetCDFArray(filename='file.nc', address='ta',
dtype=v.dtype, shape=v.shape)
data_disk = cf.Data(netcdf_array)
numpy_array = v[...]
data_memory = cf.Data(numpy_array)
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5 changes: 2 additions & 3 deletions docs/source/tutorial.rst
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Expand Up @@ -4539,9 +4539,8 @@ used to initialise a `cf.Data` instance.
>>> import netCDF4
>>> nc = netCDF4.Dataset('file.nc', 'r')
>>> v = nc.variables['ta']
>>> netcdf_array = cf.NetCDFArray(filename='file.nc', ncvar='ta',
... dtype=v.dtype, ndim=v.ndim,
... shape=v.shape, size=v.size)
>>> netcdf_array = cf.NetCDFArray(filename='file.nc', address='ta',
... dtype=v.dtype, shape=v.shape)
>>> data_disk = cf.Data(netcdf_array)


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