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98 lines
2.8 KiB
98 lines
2.8 KiB
"""
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Plotting public API.
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Authors of third-party plotting backends should implement a module with a
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public ``plot(data, kind, **kwargs)``. The parameter `data` will contain
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the data structure and can be a `Series` or a `DataFrame`. For example,
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for ``df.plot()`` the parameter `data` will contain the DataFrame `df`.
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In some cases, the data structure is transformed before being sent to
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the backend (see PlotAccessor.__call__ in pandas/plotting/_core.py for
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the exact transformations).
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The parameter `kind` will be one of:
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- line
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- bar
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- barh
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- box
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- hist
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- kde
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- area
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- pie
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- scatter
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- hexbin
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See the pandas API reference for documentation on each kind of plot.
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Any other keyword argument is currently assumed to be backend specific,
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but some parameters may be unified and added to the signature in the
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future (e.g. `title` which should be useful for any backend).
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Currently, all the Matplotlib functions in pandas are accessed through
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the selected backend. For example, `pandas.plotting.boxplot` (equivalent
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to `DataFrame.boxplot`) is also accessed in the selected backend. This
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is expected to change, and the exact API is under discussion. But with
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the current version, backends are expected to implement the next functions:
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- plot (describe above, used for `Series.plot` and `DataFrame.plot`)
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- hist_series and hist_frame (for `Series.hist` and `DataFrame.hist`)
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- boxplot (`pandas.plotting.boxplot(df)` equivalent to `DataFrame.boxplot`)
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- boxplot_frame and boxplot_frame_groupby
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- register and deregister (register converters for the tick formats)
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- Plots not called as `Series` and `DataFrame` methods:
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- table
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- andrews_curves
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- autocorrelation_plot
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- bootstrap_plot
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- lag_plot
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- parallel_coordinates
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- radviz
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- scatter_matrix
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Use the code in pandas/plotting/_matplotib.py and
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https://github.com/pyviz/hvplot as a reference on how to write a backend.
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For the discussion about the API see
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https://github.com/pandas-dev/pandas/issues/26747.
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"""
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from pandas.plotting._core import (
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PlotAccessor,
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boxplot,
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boxplot_frame,
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boxplot_frame_groupby,
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hist_frame,
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hist_series,
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)
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from pandas.plotting._misc import (
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andrews_curves,
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autocorrelation_plot,
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bootstrap_plot,
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deregister as deregister_matplotlib_converters,
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lag_plot,
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parallel_coordinates,
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plot_params,
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radviz,
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register as register_matplotlib_converters,
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scatter_matrix,
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table,
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)
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__all__ = [
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"PlotAccessor",
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"boxplot",
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"boxplot_frame",
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"boxplot_frame_groupby",
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"hist_frame",
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"hist_series",
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"scatter_matrix",
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"radviz",
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"andrews_curves",
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"bootstrap_plot",
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"parallel_coordinates",
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"lag_plot",
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"autocorrelation_plot",
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"table",
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"plot_params",
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"register_matplotlib_converters",
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"deregister_matplotlib_converters",
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]
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