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.. toctree ::
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+ user_guide
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third_party
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+ User guide
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+ ==========
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+
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+ Overview
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+ --------
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+ ``napari-matplotlib `` contains a number of different ``napari `` Widgets. Each
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+ widget is designed to map one or more ``napari `` Layers on to a ``matplotlib `` plot.
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+ As an example, the `~.HistogramWidget ` is used to
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+ map one or more Image layers on to a 1D histogram plot.
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+
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+ The widgets split into two categories:
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+
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+ Layer plotting
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+ ~~~~~~~~~~~~~~
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+ These widgets plot the data stored directly in napari layers.
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+ Currently available are widgets to plot:
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+
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+ - 1D histograms
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+ - 2D scatter plots (switching to 2D histograms for a large number of points)
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+ - 1D slice line plots
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+
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+ To use these:
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+
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+ 1. Open the desired widget using the ``Plugins > napari-matplotlib `` menu in napari.
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+ 2. Select the required number of layers using the napari layers list in the bottom left-hand side of the window.
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+
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+ Features plotting
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+ ~~~~~~~~~~~~~~~~~
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+ These widgets plot the data stored in the ``.features `` attribute of individual napari layers.
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+ Currently available are:
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+ - 2D scatter plots of two features against each other.
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+
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+ To use these:
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+ 1. Open the desired widget using the ``Plugins > napari-matplotlib `` menu in napari.
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+ 2. Select a single layer that has a features table using the napari layers list in the bottom left-hand side of the window.
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+ 3. Use the drop down menu(s) under the Matplotlib figure to select the feature(s) to plot.
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