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more consistent headers and explainations for plot types
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doc/sphinxext/gallery_order.py

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plot_types_order = [
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'../galleries/plot_types/basic',
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'../galleries/plot_types/arrays',
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'../galleries/plot_types/stats',
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'../galleries/plot_types/arrays',
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'../galleries/plot_types/unstructured',
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'../galleries/plot_types/3D',
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UNSORTED

galleries/plot_types/3D/README.rst

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.. _3D_plots:
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3D
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--
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3D and volumetric data
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----------------------
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3D plots using the `mpl_toolkits.mplot3d` library.
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Plotting for three dimensional ``(x,y,z)`` and volumetric ``V(x,y,z)`` data
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using the `mpl_toolkits.mplot3d` library.

galleries/plot_types/README.rst

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Plot types
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==========
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Overview of many common plotting commands in Matplotlib.
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Overview of many common plotting commands provided by Matplotlib.
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Note that we have stripped all labels, but they are present by default.
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See the `gallery <../gallery/index.html>`_ for many more examples and
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See the `gallery <../gallery/index.html>`_ for more examples and
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the `tutorials page <../tutorials/index.html>`_ for longer examples.
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.. _array_plots:
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Plots of arrays and fields
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Arrays, images, and fields
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--------------------------
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Plotting for arrays of data ``Z(x, y)`` and fields ``U(x, y), V(x, y)``.
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Plots of arrays and images ``Z(x, y)`` and fields ``U(x, y), V(x, y)``.

galleries/plot_types/basic/README.rst

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.. _basic_plots:
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Basic
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-----
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Tabular and linear data
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-----------------------
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Basic plot types, usually y versus x.
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Plots of items in a table ``(x, y)`` at index *i* and functional data ``f(x)=y``

galleries/plot_types/stats/README.rst

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.. _stats_plots:
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Statistics plots
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----------------
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Statistical Plots
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-----------------
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Plots for statistical analysis.
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Computation and plotting of distributions and other common statistical analysis.
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.. _unstructured_plots:
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Unstructured coordinates
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-------------------------
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Unstructured grids
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------------------
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Sometimes we collect data ``z`` at coordinates ``(x,y)`` and want to visualize
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as a contour. Instead of gridding the data and then using
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`~.axes.Axes.contour`, we can use a triangulation algorithm and fill the
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triangles.
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Plots of data ``z`` at coordinates ``(x,y)`` on unstructured grids and plots of
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the unstructured grid.

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