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Commit 4ba4766

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tacaswelltacaswell
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Merge pull request #9503 from matplotlib/auto-backport-of-pr-9478
Backport PR #9478 on branch v2.1.0-doc
2 parents 13f912f + 1619578 commit 4ba4766
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‎examples/widgets/buttons.py

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Buttons
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Constructing a simple button GUI to modify a sine wave.
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The ``next`` and ``previous`` button widget helps visualize the wave with
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new frequencies.
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"""
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import numpy as np

‎examples/widgets/check_buttons.py

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Check Buttons
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=============
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Turning visual elements on and off with check buttons.
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This program shows the use of 'Check Buttons' which is similar to
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check boxes. There are 3 different sine waves shown and we can choose which
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waves are displayed with the check buttons.
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"""
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import numpy as np
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import matplotlib.pyplot as plt

‎examples/widgets/lasso_selector_demo_sgskip.py

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Lasso Selector Demo
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===================
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Interactively selecting data points with the lasso tool.
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This examples plots a scatter plot. You can then select a few points by drawing
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a lasso loop around the points on the graph. To draw, just click
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on the graph, hold, and drag it around the points you need to select.
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"""
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from __future__ import print_function
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‎examples/widgets/multicursor.py

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Multicursor
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===========
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Showing a cursor on multiple plots simultaneously.
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This example generates two subplots and on hovering
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the cursor over data in one subplot, the values of that datapoint
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are shown in both respectively.
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"""
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import numpy as np
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import matplotlib.pyplot as plt

‎examples/widgets/radio_buttons.py

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Radio Buttons
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Using radio buttons to choose properties of your plot.
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Radio buttons let you choose between multiple options in a visualization.
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In this case, the buttons let the user choose one of the three different sine
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waves to be shown in the plot.
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"""
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import numpy as np
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import matplotlib.pyplot as plt

‎examples/widgets/slider_demo.py

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Slider Demo
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Using the slider widget to control visual properties of your plot.
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In this example, a slider is used to choose the frequency of a sine
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wave. You can control many continuously-varying properties of your plot in
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this way.
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"""
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import numpy as np
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import matplotlib.pyplot as plt

‎examples/widgets/textbox.py

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Textbox
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Allowing text input with the Textbox widget.
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You can use the Textbox widget to let users provide any text that needs to be
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displayed, including formulas. You can use a submit button to create plots
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with the given input.
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"""
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import numpy as np

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