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Some manual fixes.
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examples/color/color_cycler.py

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This example demonstrates two different APIs:
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1. Setting the default
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:doc:`rc parameter</tutorials/introductory/customizing>`
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specifying the property cycle. This affects all subsequent axes
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(but not axes already created).
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2. Setting the property cycle for a single pair of axes.
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1. Setting the default :doc:`rc parameter</tutorials/introductory/customizing>`
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specifying the property cycle. This affects all subsequent axes (but not
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axes already created).
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2. Setting the property cycle for a single pair of axes.
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"""
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from cycler import cycler
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import numpy as np

examples/images_contours_and_fields/contour_image.py

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=============
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Test combinations of contouring, filled contouring, and image plotting.
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For contour labelling, see See also the
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:ref:`contour demo example
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For contour labelling, see also the :doc:`contour demo example
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</gallery/images_contours_and_fields/contour_demo>`.
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The emphasis in this demo is on showing how to make contours register
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correctly on images, and on how to get both of them oriented as
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desired. In particular, note the usage of the
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:ref:`"origin" and "extent"
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</tutorials/intermediate/imshow_extent>`
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keyword arguments to imshow and contour.
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correctly on images, and on how to get both of them oriented as desired.
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In particular, note the usage of the :doc:`"origin" and "extent"
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</tutorials/intermediate/imshow_extent>` keyword arguments to imshow and
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contour.
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"""
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import matplotlib.pyplot as plt
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import numpy as np

examples/images_contours_and_fields/quiver_demo.py

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Demonstration of advanced quiver and quiverkey functions
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========================================================
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Demonstrates some more advanced options for `~.axes.Axes.quiver`.
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For a simple example refer to
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:doc:`/gallery/images_contours_and_fields/quiver_simple_demo`.
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Demonstrates some more advanced options for `~.axes.Axes.quiver`. For a simple
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example refer to :doc:`/gallery/images_contours_and_fields/quiver_simple_demo`.
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Known problem: the plot autoscaling does not take into account
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the arrows, so those on the boundaries are often out of the picture.
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This is *not* an easy problem to solve in a perfectly general way.
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The workaround is to manually expand the Axes objects.
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Known problem: the plot autoscaling does not take into account the arrows, so
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those on the boundaries are often out of the picture. This is *not* an easy
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problem to solve in a perfectly general way. The workaround is to manually
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expand the Axes objects.
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"""
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import matplotlib.pyplot as plt
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import numpy as np

examples/images_contours_and_fields/quiver_simple_demo.py

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Quiver Simple Demo
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==================
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A simple example of a `~.axes.Axes.quiver` plot with a
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`~.axes.Axes.quiverkey`.
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A simple example of a `~.axes.Axes.quiver` plot with a `~.axes.Axes.quiverkey`.
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For more advanced options refer to
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For more advanced options refer to
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:doc:`/gallery/images_contours_and_fields/quiver_demo`.
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"""
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import matplotlib.pyplot as plt

lib/matplotlib/widgets.py

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@@ -2574,7 +2574,7 @@ class PolygonSelector(_SelectorWidget):
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if the mouse click is within `vertex_select_radius` pixels of the
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vertex. The default radius is 15 pixels.
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See Also
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Examples
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--------
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:doc:`/gallery/widgets/polygon_selector_demo`
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"""

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