reduce the size of example dataset in dask docs #3187
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Thanks @DocOtak. How about we reduce the size of the dataset to 180 in longitude and 30 in time? |
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Sure, that seems to work as well, want a second PR or just update this one (with some forcing)? |
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yes, let's force update this PR |
DocOtak
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Thanks. let's try this. |
dcherian
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* master: pyupgrade one-off run (pydata#3190) mfdataset, concat now support the 'join' kwarg. (pydata#3102) reduce the size of example dataset in dask docs (pydata#3187) add climpred to related-projects (pydata#3188) bump rasterio to 1.0.24 in doc building environment (pydata#3186) More annotations (pydata#3177) Support for __array_function__ implementers (sparse arrays) [WIP] (pydata#3117) Internal clean-up of isnull() to avoid relying on pandas (pydata#3132) Call darray.compute() in plot() (pydata#3183) BUG: fix + test open_mfdataset fails on variable attributes with list… (pydata#3181)
dcherian
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Aug 8, 2019
* master: pyupgrade one-off run (pydata#3190) mfdataset, concat now support the 'join' kwarg. (pydata#3102) reduce the size of example dataset in dask docs (pydata#3187) add climpred to related-projects (pydata#3188) bump rasterio to 1.0.24 in doc building environment (pydata#3186) More annotations (pydata#3177) Support for __array_function__ implementers (sparse arrays) [WIP] (pydata#3117) Internal clean-up of isnull() to avoid relying on pandas (pydata#3132) Call darray.compute() in plot() (pydata#3183) BUG: fix + test open_mfdataset fails on variable attributes with list… (pydata#3181)
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Another attempt at getting the docs to build again on RTD (#3182).
The current failure is due to high memory usage in the dask examples. I've converted the two most memory expensive code blocks into
:verbatim:blocks so they don't use any additional memory. The contents of these blocks were taken from the last time the docs successfully built on RTD