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yinleonyinleon
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DOC FIX reviewer's comments
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‎examples/axisartist/demo_axisline_style.py

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"""
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================
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Axis Line Styles
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Axis line styles
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================
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This example shows some configurations for axis style.
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for direction in ["xzero", "yzero"]:
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# adds arrows at the ends of each axis
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ax.axis[direction].set_axisline_style("-|>")
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# adds X and Y-axis from the origin
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ax.axis[direction].set_visible(True)
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for direction in ["left", "right", "bottom", "top"]:
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# hides boarders
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# hides borders
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ax.axis[direction].set_visible(False)
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x = np.linspace(-0.5, 1., 100)

‎examples/event_handling/pipong.py

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"""
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====
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PONG
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Pong
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====
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A matplotlib based game of Pong illustrating one way to write interactive animation which are easily ported to multiple backends pipong.py was written by Paul Ivanov <http://pirsquared.org>
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A Matplotlib based game of Pong illustrating one way to write interactive
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animations which are easily ported to multiple backends pipong.py was written
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by <a href='http://pirsquared.org'>Paul Ivanov</a>.
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"""
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from __future__ import print_function
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‎examples/event_handling/poly_editor.py

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==========
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This is an example to show how to build cross-GUI applications using
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matplotlib event handling to interact with objects on the canvas
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matplotlib event handling to interact with objects on the canvas.
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"""
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import numpy as np
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from matplotlib.lines import Line2D

‎examples/event_handling/resample.py

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Resampling Data
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===============
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Downsampling lowers the sample rate or sample size of a signal. In this tutorial, the signal is downsampled when the plot is adjusted through dragging and zooming.
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Downsampling lowers the sample rate or sample size of a signal. In this
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tutorial, the signal is downsampled when the plot is adjusted through dragging
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and zooming.
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"""
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import numpy as np
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def __init__(self, xdata, ydata):
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self.origYData = ydata
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self.origXData = xdata
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self.ratio = 50
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self.ratio = 5
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self.delta = xdata[-1] - xdata[0]
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def downsample(self, xstart, xend):

‎examples/mplot3d/mixed_subplots_demo.py

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============================================
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Demonstrate the mixing of 2d and 3d subplots
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============================================
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This example shows a how to plot a 2D and 3D plot on the same figure.
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"""
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‎examples/pylab_examples/bar_stacked.py

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Stacked Bar Graph
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=================
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This is an example of creating a stacked bar plot with error bars using `plt.bar`.
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Note the parameters `yerr` used for error bars, and `bottom` to stack the women's bars on top of the men's bars.
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This is an example of creating a stacked bar plot with error bars using
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`plt.bar`. Note the parameters `yerr` used for error bars, and `bottom`
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to stack the women's bars on top of the men's bars.
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"""
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# a stacked bar plot with errorbars

‎examples/pylab_examples/dolphin.py

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"""
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=======
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Dophins
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=======
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========
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Dolphins
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========
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This example shows how to draw, and manipulate shapes given verticies and nodes using the patches, path and transforms classes.
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This example shows how to draw, and manipulate shapes given vertices and nodes
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using the `patches`, `path` and `transforms` classes.
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"""
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import matplotlib.cm as cm

‎examples/pylab_examples/fill_between_demo.py

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Filling the area between lines
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==============================
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This example shows how to use fill_between() to color between lines based on user-defined logic.
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This example shows how to use `fill_between` to color between lines based on
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user-defined logic.
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"""
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import matplotlib.pyplot as plt

‎examples/pylab_examples/geo_demo.py

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======================
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This shows 4 possible projections using subplot.
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Matplotlib also supports the <a href='http://matplotlib.org/basemap/'>Basemaps Toolkit</a> for geographic projections.
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Matplotlib also supports
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<a href='http://matplotlib.org/basemap/'>Basemaps Toolkit</a> and
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<a href='http://scitools.org.uk/cartopy/'>Cartopy</a>
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for geographic projections.
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"""
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import matplotlib.pyplot as plt

‎examples/pylab_examples/mri_demo.py

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MRI
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===
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This example illustrates how to read an image (of an MRI) into a numpy array, and display it in greyscale using `ax.imshow`.
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This example illustrates how to read an image (of an MRI) into a NumPy array,
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and display it in greyscale using `imshow`.
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"""
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