Update doc/thirdpartypackages/index.rst#8538
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anntzer
commented
Apr 26, 2017
anntzer
commented
- Add a few more subdivisions (specialty plots, interactivity).
- Sort packages alphabetically within subdivisions.
- Reword a few sentences.
- Reflow long lines.
doc/thirdpartypackages/index.rst
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| .. image:: /_static/holoviews.png | ||
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| seaborn |
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Kinda feel like seaborn should get top priority here since it's probably the most widely used of the lot.
Then maybe group ggplot and holoview as declarative wrappers, and treat seaborn as a standalone statistical package (and I don't think it's the only one...) or maybe group it with prob-scale and pyUpSet as mathy viz.
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I'm a bit uncertain whether we should give seaborn a special position or not. Let's see what others think...
doc/thirdpartypackages/index.rst
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| exist. Below we list a number of these. Note that they are each | ||
| maintained and distributed separately from Matplotlib, and will need | ||
| to be installed individually. | ||
| exist. Below we list a number of these. Note that they are each maintained |
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I think Below we list a number of these is sort of redundant, or at the least should be We list a number of these below. Suggested rephrase (and yes, nitpicky)
Several external packages that extend or build on Matplotlib functionality exist. They are maintained and distributed separately from matplotlib and so need to be installed individually. We list a number of these below.
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Several external packages that extend or build on Matplotlib functionality are
listed below. They are maintained and distributed separately from Matplotlib
and thus need to be installed individually.
sounds good?
doc/thirdpartypackages/index.rst
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| Mapping Toolkits | ||
| **************** |
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I'd put these at the top since they're in some ways the most distinct, MPL does not provide but this is core visualization (whereas everything else is more flourish).
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Note that this is inconsistent with your remark on seaborn :-)
They are very distinct, but also very specialized, so I wouldn't put them at the top.
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Yeah yeah... I do think these should get higher priority though as they support the only fundamental chart types (geospatial seems to get lumped in as basic on most every survey I've seen of viz types) matplotlib really doesn't support. .
Then I'm thinking group all the math ones together: seaborn, pyUbset, mpl-prob, then group the interactive, or the declarative, and then shrugs
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sounds good, fixed.
- Add a few more subdivisions (specialty plots, interactivity). - Sort packages alphabetically within subdivisions. - Reword a few sentences. - Reflow long lines.
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Would it be worth adding a blurb about |
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Worth backporting to |
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I don't think so, but can easily be convinced otherwise. |
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