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MEP12 API examples
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‎examples/api/agg_oo.py

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# -*- noplot -*-
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"""
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=============================
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The object-oriented interface
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=============================
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A pure OO (look Ma, no pylab!) example using the agg backend
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"""
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from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas

‎examples/api/barchart_demo.py

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"""
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========
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Barchart
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========
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A bar plot with errorbars and height labels on individual bars
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"""
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import numpy as np

‎examples/api/bbox_intersect.py

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"""
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===========================================
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Changing colors of lines intersecting a box
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===========================================
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The lines interescting the rectangle are colored in red, while the other one
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are left as blue lines. This example showcases the `intersect_bbox` function.
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib.transforms import Bbox

‎examples/api/collections_demo.py

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'''Demonstration of LineCollection, PolyCollection, and
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RegularPolyCollection with autoscaling.
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'''
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=========================================================
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Line and Poly and RegularPoly Collection with autoscaling
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=========================================================
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For the first two subplots, we will use spirals. Their
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size will be set in plot units, not data units. Their positions

‎examples/api/colorbar_basics.py

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"""
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========
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Colorbar
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========
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This example shows how to use colorbar by specify the mappable object (here
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the imshow returned object) and the axes to attach the colorbar to.
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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‎examples/api/colorbar_only.py

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'''
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Make a colorbar as a separate figure.
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====================
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Customized colorbars
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====================
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This example shows how to build colorbars without an attached mappable.
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'''
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import matplotlib.pyplot as plt

‎examples/api/compound_path.py

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"""
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Make a compund path -- in this case two simple polygons, a rectangle
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=============
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Compound path
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=============
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Make a compound path -- in this case two simple polygons, a rectangle
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and a triangle. Use CLOSEOPOLY and MOVETO for the different parts of
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the compound path
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"""

‎examples/api/custom_projection_example.py

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"""
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=================
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Custom projection
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=================
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This example showcases the Hammer projection by alleviating many features of
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matplotlib.
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"""
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from __future__ import unicode_literals
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import matplotlib

‎examples/api/custom_scale_example.py

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"""
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============
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Custom scale
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============
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This example showcases how to create a custom scale, by implementing the
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scaling use for latitude data in a Mercator Projection.
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"""
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from __future__ import unicode_literals
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import numpy as np

‎examples/api/date_demo.py

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"""
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================
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Date tick labels
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================
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Show how to make date plots in matplotlib using date tick locators and
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formatters. See major_minor_demo1.py for more information on
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controlling major and minor ticks

‎examples/api/date_index_formatter.py

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"""
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====================================
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Custom tick formatter for timeseries
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====================================
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When plotting time series, e.g., financial time series, one often wants
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to leave out days on which there is no data, eh weekends. The example
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below shows how to use an 'index formatter' to achieve the desired plot
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# first we'll do it the default way, with gaps on weekends
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fig, ax = plt.subplots()
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fig, axes = plt.subplots(ncols=2, figsize=(8, 4))
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ax = axes[0]
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ax.plot(r.date, r.adj_close, 'o-')
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ax.set_title("Default")
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fig.autofmt_xdate()
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# next we'll write a custom formatter
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thisind = np.clip(int(x + 0.5), 0, N - 1)
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return r.date[thisind].strftime('%Y-%m-%d')
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fig, ax = plt.subplots()
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ax = axes[1]
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ax.plot(ind, r.adj_close, 'o-')
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ax.xaxis.set_major_formatter(ticker.FuncFormatter(format_date))
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ax.set_title("Custom tick formatter")
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fig.autofmt_xdate()
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plt.show()

‎examples/api/demo_affine_image.py

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"""
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============================
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Affine transform of an image
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============================
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For the backends that support draw_image with optional affine
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transform (e.g., agg, ps backend), the image of the output should
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have its boundary match the dashed yellow rectangle.

‎examples/api/donut_demo.py

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"""
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=============
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Mmh Donuts!!!
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=============
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This example draws donuts (miam!) using Path and Patches.
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"""
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import numpy as np
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import matplotlib.path as mpath
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import matplotlib.patches as mpatches

‎examples/api/engineering_formatter.py

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'''
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=========================================
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Labeling ticks using engineering notations
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=========================================
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Demo to show use of the engineering Formatter.
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'''
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‎examples/api/filled_step.py

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"""
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=========================
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Hatched filled histograms
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=========================
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This example showcases the hatching capabilities of matplotlib by plotting
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various histograms.
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"""
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import itertools
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from collections import OrderedDict
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from functools import partial

‎examples/api/font_family_rc.py

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"""
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===========================
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Configuring the font family
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===========================
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You can explicitly set which font family is picked up for a given font
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style (e.g., 'serif', 'sans-serif', or 'monospace').
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‎examples/api/font_file.py

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# -*- noplot -*-
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"""
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===================================
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Using a ttf font file in matplotlib
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===================================
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Although it is usually not a good idea to explicitly point to a single
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ttf file for a font instance, you can do so using the
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font_manager.FontProperties fname argument (for a more flexible

‎examples/api/histogram_path_demo.py

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"""
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========================================================
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Building histograms using Rectangles and PolyCollections
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========================================================
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This example shows how to use a path patch to draw a bunch of
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rectangles. The technique of using lots of Rectangle instances, or
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the faster method of using PolyCollections, were implemented before we
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barpath = path.Path.make_compound_path_from_polys(XY)
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# make a patch out of it
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patch = patches.PathPatch(barpath, facecolor='blue')
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patch = patches.PathPatch(barpath)
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ax.add_patch(patch)
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# update the view limits

‎examples/api/image_zcoord.py

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"""
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==================================
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Modifying the coordinate formatter
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==================================
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Show how to modify the coordinate formatter to report the image "z"
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value of the nearest pixel given x and y
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.cm as cm
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# Fixing random state for reproducibility
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np.random.seed(19680801)

‎examples/api/joinstyle.py

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"""
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===========
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Join styles
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===========
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Illustrate the three different join styles
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"""
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‎examples/api/legend_demo.py

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"""
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===============================
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Legend using pre-defined labels
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===============================
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Notice how the legend labels are defined with the plots!
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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‎examples/api/line_with_text.py

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"""
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=======================
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Artist within an artist
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=======================
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Show how to override basic methods so an artist can contain another
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artist. In this case, the line contains a Text instance to label it.
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"""

‎examples/api/logo2.py

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"""
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==========
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matplotlib
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==========
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Thanks to Tony Yu <tsyu80@gmail.com> for the logo design
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"""
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axalpha = 0.05
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#figcolor = '#EFEFEF'
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figcolor = 'white'
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dpi = 80
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fig = plt.figure(figsize=(6, 1.1), dpi=dpi)
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(0.35, 0.9), 20))
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text.append((r"$\int_{-\infty}^\infty e^{-x^2}dx=\sqrt{\pi}$",
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(0.15, 0.3), 25))
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#text.append((r"$E = mc^2 = \sqrt{{m_0}^2c^4 + p^2c^2}$",
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# (0.7, 0.42), 30))
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text.append((r"$F_G = G\frac{m_1m_2}{r^2}$",
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(0.85, 0.7), 30))
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for eq, (x, y), size in text:
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ax.set_yticks(np.arange(1, 9, 2))
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ax.set_rmax(9)
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if __name__ == '__main__':
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main_axes = add_math_background()
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add_polar_bar()

‎examples/api/mathtext_asarray.py

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"""
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Load a mathtext image as numpy array
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===============================
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A mathtext image as numpy array
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===============================
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This example shows how to make images from latex strings.
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"""
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import matplotlib.mathtext as mathtext

‎examples/api/patch_collection.py

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"""
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============================
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Circles, Wedges and Polygons
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============================
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"""
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import numpy as np
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import matplotlib
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from matplotlib.patches import Circle, Wedge, Polygon

‎examples/api/power_norm_demo.py

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"""
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========================
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Exploring normalizations
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========================
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Let's explore various normalization on a multivariate normal distribution.
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"""
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from matplotlib import pyplot as plt
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import matplotlib.colors as mcolors
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import numpy as np

‎examples/api/quad_bezier.py

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"""
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============
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Bezier Curve
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============
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This example showcases the PathPatch object to create a bezier polycurve path
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patch.
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"""
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import matplotlib.path as mpath
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import matplotlib.patches as mpatches
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import matplotlib.pyplot as plt

‎examples/api/radar_chart.py

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"""
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Example of creating a radar chart (a.k.a. a spider or star chart) [1]_.
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=====================================
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Radar chart (aka spider or star chart
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=====================================
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This example creates a radar chart, also known as a spider or star chart [1]_.
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frames don't have proper gridlines (the lines are circles instead of polygons).
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# add legend relative to top-left plot
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labels = ('Factor 1', 'Factor 2', 'Factor 3', 'Factor 4', 'Factor 5')
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legend = ax.legend(labels, loc=(0.9, .95), labelspacing=0.1, fontsize='small')
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legend = ax.legend(labels, loc=(0.9, .95),
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labelspacing=0.1, fontsize='small')
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fig.text(0.5, 0.965, '5-Factor Solution Profiles Across Four Scenarios',
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horizontalalignment='center', color='black', weight='bold',

‎examples/api/sankey_demo_basics.py

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"""Demonstrate the Sankey class by producing three basic diagrams.
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"""
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================
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The Sankey class
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================
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Demonstrate the Sankey class by producing three basic diagrams.
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"""
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import numpy as np
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import matplotlib.pyplot as plt

‎examples/api/sankey_demo_links.py

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"""Demonstrate/test the Sankey class by producing a long chain of connections.
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"""
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Long chain of connections using Sankey
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======================================
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Demonstrate/test the Sankey class by producing a long chain of connections.
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"""
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from itertools import cycle

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