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| # spec | ||
| Minimal shared API spec | ||
| # Shared specifications for Python Visualization | ||
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| This repo will store any specifications that arise as well as any build and testing code that is determined to be useful for managing and verifying the use of specs. | ||
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| Every spec will have a version and target a specific section of the library API. |
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| - Spec: 1 | ||
| - Title: Methods on libraries | ||
| - Version: 0.1 | ||
| - Last-Modified: 2019-07-19 | ||
| - Authors: [James Bednar](), | ||
| [Julia Signell](jsignell@gmail.com), | ||
| [Jake Vanderplas]() | ||
| - Status: Active | ||
| - Type: Standards | ||
| - Content-Type: text/markdown | ||
| - Created: 2019-07-19 | ||
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| ## Abstract | ||
| This spec describes a proposed minimal shared Python API for plotting libraries. | ||
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| This spec uses LIBRARY to refer to any specific visualization library. | ||
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| ## If a method doesn't make sense | ||
| If a given operation doesn't make sense for that library, then it can satisfy the spec by simply having that method return a message to that effect ("Unsupported: LIBRARY does not provide JSON output"). | ||
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| ## `.__pyviz_spec__()` method | ||
| Calling `.__pyviz_spec__()` on the library should return a list of the specs that the library complies with. It should include the version of the spec that is being used. | ||
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| ```python | ||
| >>> LIBRARY.__pyviz_spec__() | ||
| {1: 0.1, 2: 0.1} | ||
| ``` | ||
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| ## Enable output from library | ||
| Each library should provide a uniform way to enable itself in jupyter notebook & jupyterlab. | ||
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| > #### What currently exists | ||
| > - matplotlib has `%matplotlib inline` | ||
| > - bokeh has `bokeh.output_notebook()` | ||
| > - altair has `alt.renderers.enable('notebook')` | ||
| > - holoviews has `hv.extension('bokeh')` | ||
| > - hvplot has `import hvplot.pandas` | ||
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| ### Proposal: function call | ||
| Provide an `enable()` function call on the library that can take an optional `output` kwarg, but provides a sensible default. | ||
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| `LIBRARY.enable()` == `LIBRARY.enable(output='notebook')` | ||
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| **NOTE**: This spec doesn't cover the case where you are in a notebook and want to generate a figure separately from a notebook. | ||
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| #### Context | ||
| A function call is preferred over magics because some tools need a specification that is usable both within and outside of jupyter. We can always add special cases to deal with magics, but prefer just to have a normal Python call that can register things with Jupyter if it's available but doesn't otherwise cause syntax errors (if not skipped) or missing functionality (if skipped) outside of Jupyter/IPython. | ||
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| - Spec: 2 | ||
| - Title: Methods on figure objects | ||
| - Version: 0.1 | ||
| - Last-Modified: 2019-07-19 | ||
| - Authors: [James Bednar](), | ||
| [David Hoese](), | ||
| [Jon Mease](jon.mease@gmail.com), | ||
| [Julia Signell](jsignell@gmail.com), | ||
| - Status: Active | ||
| - Type: Standards | ||
| - Content-Type: text/markdown | ||
| - Created: 2019-07-19 | ||
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| ## Abstract | ||
| This spec describes a proposed shared Python API for accessing objects from various plotting libraries. | ||
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| In this notebook we will use **figure** to refer to any object that has a visible representation but that can also be saved, exported, etc. This includes generic visualizations or animations that may or may not be considered a "plot" with axes, ticks, and so on.``` | ||
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| When detailing a method, this spec uses FIGURE to refer to any specific figure object and LIBRARY to refer to any specific visualization library. | ||
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| ## If a method doesn't make sense | ||
| If a given operation doesn't make sense for that library, then it can satisfy the spec by simply having that method return a message to that effect ("Unsupported: LIBRARY does not provide JSON output"). | ||
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| ## Jupyter methods | ||
| Every library that supports rendering in Jupyter should support at least one of the various IPython rich display methods, i.e. `_repr_html_`, `_repr_png_`, `_ipython_display_`. | ||
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| ## `.show()` | ||
| Every figure should have the ability to render itself. | ||
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| ### Proposal | ||
| 1) The top-level figure class should have a `.show()` method that can be called without arguments to display the figure as a side-effect. | ||
| 2) The optional `renderer` kwarg can be used to override the current default renderer. e.g.: | ||
| - `FIGURE.show(renderer='png')` to display the figure as a static png image. | ||
| - `FIGURE.show(renderer='browser')` to display the figure in a new browser tab. This works in both jupyter/IPython and non-jupyter/IPython contexts. If the library provides interactivity, an interactive figure is preferred. | ||
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| After this kwarg, `show` can have any additional kwargs needed. | ||
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| **NOTE**: When specifying options for `renderer`, `jpg` is preferred to `jpeg`. | ||
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| #### What to return | ||
| `FIGURE.show()` should return `None`. | ||
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| ## `.save()` method | ||
| Every figure should have the knowledge of how to export itself to a file on disk. | ||
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| > #### What currently exists | ||
| > - matplotlib has `.savefig` which saves the current figure, with options `fname` and `format` among others. | ||
| > - plotly has `write_*` methods which write the figure to a `file` (or writable object) and return `None`. | ||
| > - bokeh has top level `export_*` methods for each output format as well as `save` (only outputs html) which both take a FIGURE as the arg. | ||
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| ### Proposal | ||
| Figures should have `FIGURE.save()` method for exporting. | ||
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| There are several kwargs that `save` should include: | ||
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| 1) `file`: should be a file object or optionally a path to a file. If the LIBRARY does not support file paths and a user provides one rather than a file object, the LIBRARY should raise a sensible error. Can default to some user configured value. | ||
| 2) `output`: should be a file format that the figure can be exported to i.e. `'png'`, `'jpg'`, `'svg'`, `'json'`, `'html'`. The library should set a default output and/or allow the user to configure the output. For instance matplotlib does: | ||
| > If format is not set, then the output format is inferred from the extension of `fname`, if any, and from `rcParams["savefig.format"]` otherwise. If `format` is set, it determines the output format. | ||
| > | ||
| >from: [matplotlib.pyplot.savefig](https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.savefig.html) | ||
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| **NOTE**: These kwargs are deliberately selected to avoid builtins in python 3 which precludes `format`, but no longer precludes `file`. | ||
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| After these two, `save` can have any additional kwargs needed. | ||
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| **NOTE**: When specifying options for `output`, `jpg` is preferred to `jpeg`. | ||
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| #### What to return | ||
| `FIGURE.save()` should return the file path or object that was saved to. | ||
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| #### Some examples | ||
| Save to default location: | ||
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| ```python | ||
| FIGURE.save() | ||
| ``` | ||
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| Save to a particular location: | ||
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| ```python | ||
| with open('/path/to/output.html', 'w') as file: | ||
| FIGURE.save(file) | ||
| ``` | ||
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| is equivalent to | ||
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| ```python | ||
| FIGURE.save(file='/path/to/output.html') | ||
| ``` | ||
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| is equivalent to | ||
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| ```python | ||
| FIGURE.save('/path/to/output.html', output='html') | ||
| ``` | ||
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