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Doc: examples update
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‎examples/images_contours_and_fields/interpolation_methods.py

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grid = np.random.rand(4, 4)
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fig, axs = plt.subplots(nrows=3, ncols=6, figsize=(9.3, 6),
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fig, axs = plt.subplots(nrows=3, ncols=6, figsize=(9, 6),
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subplot_kw={'xticks': [], 'yticks': []})
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fig.subplots_adjust(left=0.03, right=0.97, hspace=0.3, wspace=0.05)
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for ax, interp_method in zip(axs.flat, methods):
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ax.imshow(grid, interpolation=interp_method, cmap='viridis')
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ax.set_title(str(interp_method))

‎examples/lines_bars_and_markers/barchart.py

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"""
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============================
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Grouped Barchart with labels
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============================
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Bar charts are useful for visualizing counts, or summary statistics
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with error bars. This example shows a ways to create a grouped bar chart
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with Matplotlib and also how to annotate bars with labels.
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Credit: Josh Hemann
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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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men_means, men_std = (20, 35, 30, 35, 27), (2, 3, 4, 1, 2)
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women_means, women_std = (25, 32, 34, 20, 25), (3, 5, 2, 3, 3)
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ind = np.arange(len(men_means)) # the x locations for the groups
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width = 0.35 # the width of the bars
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fig, ax = plt.subplots()
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rects1 = ax.bar(ind - width/2, men_means, width, yerr=men_std,
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label='Men')
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rects2 = ax.bar(ind + width/2, women_means, width, yerr=women_std,
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label='Women')
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# Add some text for labels, title and custom x-axis tick labels, etc.
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ax.set_ylabel('Scores')
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ax.set_title('Scores by group and gender')
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ax.set_xticks(ind)
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ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))
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ax.legend()
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def autolabel(rects, xpos='center'):
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"""
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Attach a text label above each bar in *rects*, displaying its height.
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*xpos* indicates which side to place the text w.r.t. the center of
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the bar. It can be one of the following {'center', 'right', 'left'}.
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"""
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ha = {'center': 'center', 'right': 'left', 'left': 'right'}
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offset = {'center': 0, 'right': 1, 'left': -1}
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for rect in rects:
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height = rect.get_height()
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ax.annotate('{}'.format(height),
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xy=(rect.get_x() + rect.get_width() / 2, height),
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xytext=(offset[xpos]*3, 3), # use 3 points offset
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textcoords="offset points", # in both directions
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ha=ha[xpos], va='bottom')
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autolabel(rects1, "left")
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autolabel(rects2, "right")
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fig.tight_layout()
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plt.show()
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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#
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# The use of the following functions, methods and classes is shown
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# in this example:
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import matplotlib
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matplotlib.axes.Axes.bar
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matplotlib.pyplot.bar
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matplotlib.axes.Axes.annotate
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matplotlib.pyplot.annotate

‎examples/pie_and_polar_charts/polar_bar.py

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@@ -1,6 +1,6 @@
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"""
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=======================
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Pie chart on polar axis
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Bar chart on polar axis
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=======================
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Demo of bar plot on a polar axis.
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theta = np.linspace(0.0, 2 * np.pi, N, endpoint=False)
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radii = 10 * np.random.rand(N)
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width = np.pi / 4 * np.random.rand(N)
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colors = plt.cm.viridis(radii / 10.)
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ax = plt.subplot(111, projection='polar')
22-
bars = ax.bar(theta, radii, width=width, bottom=0.0)
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# Use custom colors and opacity
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for r, bar in zip(radii, bars):
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bar.set_facecolor(plt.cm.viridis(r / 10.))
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bar.set_alpha(0.5)
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ax.bar(theta, radii, width=width, bottom=0.0, color=colors, alpha=0.5)
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plt.show()
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‎examples/statistics/barchart_demo.py

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@@ -1,67 +1,14 @@
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"""
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=============
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Barchart Demo
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=============
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Bar charts of many shapes and sizes with Matplotlib.
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===================================
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Percentiles as horizontal bar chart
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===================================
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Bar charts are useful for visualizing counts, or summary statistics
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with error bars. These examples show a few ways to do this with Matplotlib.
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with error bars. Also see the :doc:`/gallery/lines_bars_and_markers/barchart`
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or the :doc:`/gallery/lines_bars_and_markers/barh` example for simpler versions
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of those features.
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"""
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###############################################################################
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# A bar plot with errorbars and height labels on individual bars.
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# Credit: Josh Hemann
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib.ticker import MaxNLocator
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from collections import namedtuple
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men_means, men_std = (20, 35, 30, 35, 27), (2, 3, 4, 1, 2)
24-
women_means, women_std = (25, 32, 34, 20, 25), (3, 5, 2, 3, 3)
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ind = np.arange(len(men_means)) # the x locations for the groups
27-
width = 0.35 # the width of the bars
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29-
fig, ax = plt.subplots()
30-
rects1 = ax.bar(ind - width/2, men_means, width, yerr=men_std,
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label='Men')
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rects2 = ax.bar(ind + width/2, women_means, width, yerr=women_std,
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label='Women')
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# Add some text for labels, title and custom x-axis tick labels, etc.
36-
ax.set_ylabel('Scores')
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ax.set_title('Scores by group and gender')
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ax.set_xticks(ind)
39-
ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))
40-
ax.legend()
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43-
def autolabel(rects, xpos='center'):
44-
"""
45-
Attach a text label above each bar in *rects*, displaying its height.
46-
47-
*xpos* indicates which side to place the text w.r.t. the center of
48-
the bar. It can be one of the following {'center', 'right', 'left'}.
49-
"""
50-
51-
ha = {'center': 'center', 'right': 'left', 'left': 'right'}
52-
offset = {'center': 0.5, 'right': 0.57, 'left': 0.43} # x_txt = x + w*off
53-
54-
for rect in rects:
55-
height = rect.get_height()
56-
ax.text(rect.get_x() + rect.get_width() * offset[xpos], 1.01 * height,
57-
'{}'.format(height), ha=ha[xpos], va='bottom')
58-
59-
60-
autolabel(rects1, "left")
61-
autolabel(rects2, "right")
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63-
fig.tight_layout()
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6613
###############################################################################
6714
# This example comes from an application in which grade school gym
@@ -70,6 +17,13 @@ def autolabel(rects, xpos='center'):
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# children did. To extract the plotting code for demo purposes, we'll
7118
# just make up some data for little Johnny Doe...
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20+
import numpy as np
21+
import matplotlib.pyplot as plt
22+
from matplotlib.ticker import MaxNLocator
23+
from collections import namedtuple
24+
25+
np.random.seed(42)
26+
7327
Student = namedtuple('Student', ['name', 'grade', 'gender'])
7428
Score = namedtuple('Score', ['score', 'percentile'])
7529

@@ -178,24 +132,25 @@ def plot_student_results(student, scores, cohort_size):
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179133
rankStr = attach_ordinal(width)
180134
# The bars aren't wide enough to print the ranking inside
181-
if width < 5:
135+
if width < 40:
182136
# Shift the text to the right side of the right edge
183-
xloc = width + 1
137+
xloc = 5
184138
# Black against white background
185139
clr = 'black'
186140
align = 'left'
187141
else:
188142
# Shift the text to the left side of the right edge
189-
xloc = 0.98 * width
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xloc = -5
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# White on magenta
191145
clr = 'white'
192146
align = 'right'
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194148
# Center the text vertically in the bar
195149
yloc = rect.get_y() + rect.get_height() / 2
196-
label = ax1.text(xloc, yloc, rankStr, horizontalalignment=align,
197-
verticalalignment='center', color=clr, weight='bold',
198-
clip_on=True)
150+
label = ax1.annotate(rankStr, xy=(width, yloc), xytext=(xloc, 0),
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textcoords="offset points",
152+
ha=align, va='center',
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color=clr, weight='bold', clip_on=True)
199154
rect_labels.append(label)
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201156
# make the interactive mouse over give the bar title
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220175
arts = plot_student_results(student, scores, cohort_size)
221176
plt.show()
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#############################################################################
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#
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# ------------
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#
183+
# References
184+
# """"""""""
185+
#
186+
# The use of the following functions, methods and classes is shown
187+
# in this example:
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189+
import matplotlib
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matplotlib.axes.Axes.bar
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matplotlib.pyplot.bar
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matplotlib.axes.Axes.annotate
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matplotlib.pyplot.annotate
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matplotlib.axes.Axes.twinx

‎examples/units/bar_unit_demo.py

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@@ -3,7 +3,8 @@
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Group barchart with units
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=========================
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This is the same example as :doc:`/gallery/statistics/barchart_demo` in
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This is the same example as
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:doc:`the barchart</gallery/lines_bars_and_markers/barchart>` in
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centimeters.
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.. only:: builder_html

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