8000 Remove "Demo" from example titles (part 2) · matplotlib/matplotlib@fa9c8b9 · GitHub
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Remove "Demo" from example titles (part 2)
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‎examples/axisartist/demo_ticklabel_alignment.py

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"""
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========================
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Demo Ticklabel Alignment
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========================
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===================
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Ticklabel alignment
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===================
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"""
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‎examples/axisartist/demo_ticklabel_direction.py

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"""
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========================
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Demo Ticklabel Direction
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========================
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===================
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Ticklabel direction
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===================
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"""
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‎examples/event_handling/coords_demo.py

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"""
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===========
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Coords demo
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===========
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===========================
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Mouse move and click events
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===========================
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An example of how to interact with the plotting canvas by connecting to move
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and click events.

‎examples/event_handling/figure_axes_enter_leave.py

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"""
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=======================
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Figure Axes Enter Leave
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=======================
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==================================
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Figure/Axes enter and leave events
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==================================
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6-
Illustrate the figure and axes enter and leave events by changing the
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frame colors on enter and leave
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Illustrate the figure and Axes enter and leave events by changing the
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frame colors on enter and leave.
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"""
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import matplotlib.pyplot as plt
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@@ -32,24 +32,13 @@ def on_leave_figure(event):
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event.canvas.figure.patch.set_facecolor('grey')
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event.canvas.draw()
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###############################################################################
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fig1, (ax, ax2) = plt.subplots(2, 1)
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fig1.suptitle('mouse hover over figure or axes to trigger events')
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fig, axs = plt.subplots(2, 1)
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fig.suptitle('mouse hover over figure or axes to trigger events')
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fig1.canvas.mpl_connect('figure_enter_event', on_enter_figure)
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fig1.canvas.mpl_connect('figure_leave_event', on_leave_figure)
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fig1.canvas.mpl_connect('axes_enter_event', on_enter_axes)
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fig1.canvas.mpl_connect('axes_leave_event', on_leave_axes)
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###############################################################################
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fig2, (ax, ax2) = plt.subplots(2, 1)
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fig2.suptitle('mouse hover over figure or axes to trigger events')
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fig2.canvas.mpl_connect('figure_enter_event', on_enter_figure)
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fig2.canvas.mpl_connect('figure_leave_event', on_leave_figure)
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fig2.canvas.mpl_connect('axes_enter_event', on_enter_axes)
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fig2.canvas.mpl_connect('axes_leave_event', on_leave_axes)
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fig.canvas.mpl_connect('figure_enter_event', on_enter_figure)
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fig.canvas.mpl_connect('figure_leave_event', on_leave_figure)
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fig.canvas.mpl_connect('axes_enter_event', on_enter_axes)
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fig.canvas.mpl_connect('axes_leave_event', on_leave_axes)
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plt.show()

‎examples/event_handling/keypress_demo.py

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"""
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=============
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Keypress Demo
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=============
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==============
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Keypress event
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==============
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6-
Show how to connect to keypress events
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Show how to connect to keypress events.
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"""
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import sys
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import numpy as np
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xl.set_visible(not visible)
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fig.canvas.draw()
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# Fixing random state for reproducibility
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np.random.seed(19680801)
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fig, ax = plt.subplots()
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fig.canvas.mpl_connect('key_press_event', on_press)

‎examples/misc/demo_agg_filter.py

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"""
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===============
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Demo Agg Filter
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===============
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==========
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AGG filter
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==========
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Most pixel-based backends in Matplotlib use `Anti-Grain Geometry (AGG)`_ for
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rendering. You can modify the rendering of Artists by applying a filter via
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`.Artist.set_agg_filter`.
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.. _Anti-Grain Geometry (AGG): http://antigrain.com
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"""
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import matplotlib.cm as cm

‎examples/pie_and_polar_charts/polar_demo.py

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"""
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==========
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Polar Demo
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Polar plot
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==========
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Demo of a line plot on a polar axis.

‎examples/subplots_axes_and_figures/axis_equal_demo.py

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"""
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===============
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Axis Equal Demo
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===============
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=======================
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Equal axis aspect ratio
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=======================
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How to set and adjust plots with equal axis ratios.
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How to set and adjust plots with equal axis aspect ratios.
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"""
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import matplotlib.pyplot as plt

‎examples/subplots_axes_and_figures/multiple_figs_demo.py

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"""
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==================
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Multiple Figs Demo
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==================
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===================================
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Managing multiple figures in pyplot
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===================================
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`matplotlib.pyplot` uses the concept of a *current figure* and *current axes*.
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Figures are identified via a figure number that is passed to `~.pyplot.figure`.
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The figure with the given number is set as *current figure*. Additionally, if
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no figure with the number exists, a new one is created.
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.. note::
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We discourage working with multiple figures in pyplot because managing
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the *current figure* is cumbersome and error-prone. Instead, we recommend
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to use the object-oriented approach and call methods on Figure and Axes
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instances.
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Working with multiple figure windows and subplots
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"""
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import matplotlib.pyplot as plt
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import numpy as np

‎examples/subplots_axes_and_figures/shared_axis_demo.py

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"""
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================
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Shared Axis Demo
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================
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===========
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Shared Axis
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===========
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You can share the x or y axis limits for one axis with another by
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passing an axes instance as a sharex or sharey kwarg.
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passing an axes instance as a *sharex* or *sharey* keyword argument.
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Changing the axis limits on one axes will be reflected automatically
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in the other, and vice-versa, so when you navigate with the toolbar

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