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This example demonstrates two different APIs:
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- 1. Setting the default
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+ 1. Setting the default
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:ref:`rc parameter<sphx_glr_tutorials_introductory_customizing.py>`
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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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import matplotlib
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matplotlib .axes .Axes .barbs
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matplotlib .pyplot .barbs
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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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+ desired. In particular, note the usage of the
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:ref:`"origin" and "extent"
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<sphx_glr_tutorials_intermediate_imshow_extent.py>`
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keyword arguments to imshow and contour.
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matplotlib .pyplot .colorbar
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matplotlib .colors .BoundaryNorm
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matplotlib .colorbar .ColorbarBase .set_label
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Generating images with :meth:`~.axes.Axes.pcolor`.
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Pcolor allows you to generate 2-D image-style plots. Below we will show how
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- to do so in Matplotlib.
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+ to do so in Matplotlib.
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"""
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import matplotlib .pyplot as plt
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import numpy as np
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matplotlib .pyplot .streamplot
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matplotlib .gridspec
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matplotlib .gridspec .GridSpec
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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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+ Demonstrates some more advanced options for `~.axes.Axes.quiver`.
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+ For a simple example refer to
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:ref:`sphx_glr_gallery_images_contours_and_fields_quiver_simple_demo.py`.
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Known problem: the plot autoscaling does not take into account
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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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- For more advanced options refer to
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+ For more advanced options refer to
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:ref:`sphx_glr_gallery_images_contours_and_fields_quiver_demo.py`.
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"""
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import matplotlib .pyplot as plt
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matplotlib .pyplot .quiver
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matplotlib .axes .Axes .quiverkey
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matplotlib .pyplot .quiverkey
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