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Allow changes to columns in bokeh CDS #2666

merged 6 commits into from May 8, 2018


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philippjfr commented May 8, 2018

This PR eliminates a long-standing limitation in updating plots with elements where the dimensions change. Specifically the code that updates a CDS now checks whether the data needs to be replaced completely, which occurs in one of two conditions 1) there is a new column which does not match the length of old columns or 2) there is an old column which is not being updated which does not match the updated columns in length.

Here are some examples of what this allows (note the changes in the axis label and table column header):


Technically we could just always replace the data completely but a) that can be inefficient and b) it breaks shared_datasource. I've double checked shared sources are not affected by this change.

.travis.yml Outdated
@@ -29,7 +29,7 @@ install:
- conda info -a
- conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION flake8 scipy=1.0.0 numpy freetype nose pandas=0.22.0 jupyter ipython=5.4.1 param matplotlib=2.1.2 xarray
- source activate test-environment
- conda install -c conda-forge iris plotly flexx ffmpeg --quiet
- conda install -c conda-forge iris plotly flexx ffmpeg netcdftime --quiet

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philippjfr May 8, 2018


Unrelated to this PR but apparently required to get tests passing again.

philippjfr added some commits May 8, 2018

length = [len(v) for v in if isinstance(v, (list, np.ndarray))]
not_updated = [k for k in if k not in data]
new = [k for k in data if k not in]
if ((not_updated and new_length and any(len([n]) != new_length[0] for n in not_updated))

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jlstevens May 8, 2018


Not sure you need the initial not_updated as any([]) evaluates to false.

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jlstevens May 8, 2018


I think that is also true for the check against new.

@philippjfr philippjfr merged commit 253a31b into master May 8, 2018

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@philippjfr philippjfr deleted the column_changes branch Jul 4, 2018

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