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- Show only the most standard combination of a partial signature in the · collares/matplotlib@8f34d79 · GitHub

  1. collares
  2. matplotlib

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Commit 8f34d79

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timhoffm
committed
- Show only the most standard combination of a partial signature in the
 title. - Add a link to the docstring of the respective function. - Minor text cleanups on the gallery page.
1 parent d56e1b4 commit 8f34d79

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‎plot_types/README.rst‎

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Plot types
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==========
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This gallery lists many of the plotting commands in Matplotlib,
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(but not all of them!).
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Overview of many common plotting commands in 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

‎plot_types/arrays/README.rst‎

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Plots of arrays 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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Plotting for arrays of data ``Z(x, y)`` and fields ``U(x, y), V(x, y)``.

‎plot_types/arrays/contourf.py‎

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"""
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=====================================
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contour[f]([X, Y], Z, [levels=], ...)
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=====================================
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====================================
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contour(X, Y, Z) / contourf(X, Y, Z)
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====================================
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See `~matplotlib.axes.Axes.contour` / `~matplotlib.axes.Axes.contourf`.
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"""
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import matplotlib.pyplot as plt
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import numpy as np

‎plot_types/arrays/imshow.py‎

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"""
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=======================
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imshow(Z, [cmap=], ...)
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=======================
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=========
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imshow(Z)
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=========
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See `~matplotlib.axes.Axes.imshow`.
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"""
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import matplotlib.pyplot as plt

‎plot_types/arrays/pcolormesh.py‎

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"""
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===================================
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pcolormesh([X, Y], Z, [cmap=], ...)
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===================================
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===================
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pcolormesh(X, Y, Z)
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===================
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`~.axes.Axes.pcolormesh` is more flexible than `~.axes.Axes.imshow` in that
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the x and y vectors need not be equally spaced (indeed they can be skewed).

‎plot_types/arrays/quiver.py‎

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"""
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=========================
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quiver([X, Y], U, V, ...)
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=========================
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==================
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quiver(X, Y, U, V)
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==================
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See `~matplotlib.axes.Axes.quiver`.
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"""
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import matplotlib.pyplot as plt
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import numpy as np

‎plot_types/arrays/streamplot.py‎

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"""
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========================
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streamplot([X, Y], U, V)
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========================
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======================
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streamplot(X, Y, U, V)
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======================
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See `~matplotlib.axes.Axes.streamplot`.
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"""
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import matplotlib.pyplot as plt
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import numpy as np

‎plot_types/basic/README.rst‎

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Basic
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-----
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Basic plot types, usually x versus y.
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Basic plot types, usually y versus x.

‎plot_types/basic/bar.py‎

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"""
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======================
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bar[h](x, height, ...)
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======================
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================================
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bar(x, height) / barh(x, height)
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================================
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See `~matplotlib.axes.Axes.bar` / `~matplotlib.axes.Axes.barh`.
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"""
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import matplotlib.pyplot as plt
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import numpy as np

‎plot_types/basic/pie.py‎

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"""
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====================
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pie(X, explode, ...)
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====================
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======
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pie(X)
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======
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See `~matplotlib.axes.Axes.pie`.
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"""
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import matplotlib as mpl
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import matplotlib.pyplot as plt

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