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Commit c4b200f

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dstansbydstansby
authored
Merge pull request #16827 from QuLogic/doc-fixes
Fix warnings in doc examples
2 parents fd2e276 + dd54a33 commit c4b200f
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‎examples/color/custom_cmap.py

Copy file name to clipboardExpand all lines: examples/color/custom_cmap.py
+3-7Lines changed: 3 additions & 7 deletions
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###############################################################################
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# Now we will use this example to illustrate 3 ways of
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# Now we will use this example to illustrate 2 ways of
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# handling custom colormaps.
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# First, the most direct and explicit:
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blue_red2 = LinearSegmentedColormap('BlueRed2', cdict2)
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plt.register_cmap(cmap=blue_red2)
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###############################################################################
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# Third, for LinearSegmentedColormap only,
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# leave everything to register_cmap:
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plt.register_cmap(name='BlueRed3', data=cdict3) # optional lut kwarg
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plt.register_cmap(name='BlueRedAlpha', data=cdict4)
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plt.register_cmap(cmap=LinearSegmentedColormap('BlueRed3', cdict3))
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plt.register_cmap(cmap=LinearSegmentedColormap('BlueRedAlpha', cdict4))
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###############################################################################
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# Make the figure:

‎examples/event_handling/data_browser.py

Copy file name to clipboardExpand all lines: examples/event_handling/data_browser.py
+1-1Lines changed: 1 addition & 1 deletion
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@@ -91,7 +91,7 @@ def update(self):
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fig, (ax, ax2) = plt.subplots(2, 1)
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ax.set_title('click on point to plot time series')
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line, = ax.plot(xs, ys, 'o', picker=5) # 5 points tolerance
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line, = ax.plot(xs, ys, 'o', picker=True, pickradius=5)
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browser = PointBrowser()
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‎examples/event_handling/pick_event_demo.py

Copy file name to clipboardExpand all lines: examples/event_handling/pick_event_demo.py
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@@ -8,32 +8,27 @@
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(for example, a matplotlib Line2D, Text, Patch, Polygon, AxesImage,
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etc...)
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There are a variety of meanings of the picker property
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There are a variety of meanings of the picker property:
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None - picking is disabled for this artist (default)
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* *None* - picking is disabled for this artist (default)
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boolean - if True then picking will be enabled and the
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artist will fire a pick event if the mouse event is over
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the artist
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* bool - if *True* then picking will be enabled and the artist will fire a pick
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event if the mouse event is over the artist.
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float - if picker is a number it is interpreted as an
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epsilon tolerance in points and the artist will fire
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off an event if it's data is within epsilon of the mouse
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event. For some artists like lines and patch collections,
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the artist may provide additional data to the pick event
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that is generated, for example, the indices of the data within
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epsilon of the pick event
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Setting ``pickradius`` will add an epsilon tolerance in points and the artist
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will fire off an event if its data is within epsilon of the mouse event. For
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some artists like lines and patch collections, the artist may provide
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additional data to the pick event that is generated, for example, the indices
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of the data within epsilon of the pick event
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function - if picker is callable, it is a user supplied
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function which determines whether the artist is hit by the
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mouse event.
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* function - if picker is callable, it is a user supplied function which
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determines whether the artist is hit by the mouse event.
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hit, props = picker(artist, mouseevent)
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to determine the hit test. If the mouse event is over the
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artist, return hit=True and props is a dictionary of properties
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you want added to the PickEvent attributes
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hit, props = picker(artist, mouseevent)
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to determine the hit test. If the mouse event is over the artist, return
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hit=True and props is a dictionary of properties you want added to the
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PickEvent attributes.
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After you have enabled an artist for picking by setting the "picker"
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property, you need to connect to the figure canvas pick_event to get
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fig, (ax1, ax2) = plt.subplots(2, 1)
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ax1.set_title('click on points, rectangles or text', picker=True)
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ax1.set_ylabel('ylabel', picker=True, bbox=dict(facecolor='red'))
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line, = ax1.plot(rand(100), 'o', picker=5) # 5 points tolerance
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line, = ax1.plot(rand(100), 'o', picker=True, pickradius=5)
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# pick the rectangle
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ax2.bar(range(10), rand(10), picker=True)

‎examples/event_handling/pick_event_demo2.py

Copy file name to clipboardExpand all lines: examples/event_handling/pick_event_demo2.py
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fig, ax = plt.subplots()
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ax.set_title('click on point to plot time series')
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line, = ax.plot(xs, ys, 'o', picker=5) # 5 points tolerance
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line, = ax.plot(xs, ys, 'o', picker=True, pickradius=5)
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def onpick(event):

‎examples/userdemo/pgf_preamble_sgskip.py

Copy file name to clipboardExpand all lines: examples/userdemo/pgf_preamble_sgskip.py
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"font.family": "serif", # use serif/main font for text elements
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"text.usetex": True, # use inline math for ticks
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"pgf.rcfonts": False, # don't setup fonts from rc parameters
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"pgf.preamble": [
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"pgf.preamble": "\n".join([
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"\\usepackage{units}", # load additional packages
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"\\usepackage{metalogo}",
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"\\usepackage{unicode-math}", # unicode math setup
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r"\setmathfont{xits-math.otf}",
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r"\setmainfont{DejaVu Serif}", # serif font via preamble
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]
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])
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})
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plt.figure(figsize=(4.5, 2.5))

‎examples/userdemo/pgf_texsystem.py

Copy file name to clipboardExpand all lines: examples/userdemo/pgf_texsystem.py
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import matplotlib.pyplot as plt
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plt.rcParams.update({
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"pgf.texsystem": "pdflatex",
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"pgf.preamble": [
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"pgf.preamble": "\n".join([
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r"\usepackage[utf8x]{inputenc}",
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r"\usepackage[T1]{fontenc}",
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r"\usepackage{cmbright}",
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]
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]),
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})
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plt.figure(figsize=(4.5, 2.5))

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