8000 Cleanup bar_stacked, bar_unit_demo examples. by anntzer · Pull Request #14089 · matplotlib/matplotlib · GitHub
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Cleanup bar_stacked, bar_unit_demo examples. #14089

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Apr 29, 2019
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Cleanup bar_stacked, bar_unit_demo examples. #14089

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17 changes: 8 additions & 9 deletions examples/lines_bars_and_markers/bar_stacked.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,29 +7,28 @@
using `~matplotlib.pyplot.bar`. Note the parameters *yerr* used for
error bars, and *bottom* to stack the women's bars on top of the men's
bars.

"""

import numpy as np
import matplotlib.pyplot as plt


N = 5
menMeans = (20, 35, 30, 35, 27)
womenMeans = (25, 32, 34, 20, 25)
menStd = (2, 3, 4, 1, 2)
womenStd = (3, 5, 2, 3, 3)
men_means = [20, 35, 30, 35, 27]
women_means = [25, 32, 34, 20, 25]
men_std = [2, 3, 4, 1, 2]
women_std = [3, 5, 2, 3, 3]
ind = np.arange(N) # the x locations for the groups
width = 0.35 # the width of the bars: can also be len(x) sequence

p1 = plt.bar(ind, menMeans, width, yerr=menStd)
p2 = plt.bar(ind, womenMeans, width,
bottom=menMeans, yerr=womenStd)
plt.bar(ind, men_means, width, yerr=men_std, label='Men')
plt.bar(ind, women_means, width, yerr=women_std, bottom=men_means,
label='Women')

plt.ylabel('Scores')
plt.title('Scores by group and gender')
plt.xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))
plt.yticks(np.arange(0, 81, 10))
plt.legend((p1[0], p2[0]), ('Men', 'Women'))
plt.legend()

plt.show()
16 changes: 8 additions & 8 deletions examples/units/bar_unit_demo.py
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Expand Up @@ -18,25 +18,25 @@


N = 5
menMeans = (150*cm, 160*cm, 146*cm, 172*cm, 155*cm)
menStd = (20*cm, 30*cm, 32*cm, 10*cm, 20*cm)
men_means = [150*cm, 160*cm, 146*cm, 172*cm, 155*cm]
men_std = [20*cm, 30*cm, 32*cm, 10*cm, 20*cm]

fig, ax = plt.subplots()

ind = np.arange(N) # the x locations for the groups
width = 0.35 # the width of the bars
p1 = ax.bar(ind, menMeans, width, bottom=0*cm, yerr=menStd)
ax.bar(ind, men_means, width, bottom=0*cm, yerr=men_std, label='Men')


womenMeans = (145*cm, 149*cm, 172*cm, 165*cm, 200*cm)
womenStd = (30*cm, 25*cm, 20*cm, 31*cm, 22*cm)
p2 = ax.bar(ind + width, womenMeans, width, bottom=0*cm, yerr=womenStd)
women_means = (145*cm, 149*cm, 172*cm, 165*cm, 200*cm)
women_std = (30*cm, 25*cm, 20*cm, 31*cm, 22*cm)
ax.bar(ind + width, women_means, width, bottom=0*cm, yerr=women_std,
label='Women')

ax.set_title('Scores by group and gender')
ax.set_xticks(ind + width / 2)
ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))

ax.legend((p1[0], p2[0]), ('Men', 'Women'))
ax.legend()
ax.yaxis.set_units(inch)
ax.autoscale_view()

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