python-matplotlibHow to make bar chart with multiple columns
See how you can plot 3 or more bar columns using Numpy.
import matplotlib.pyplot as plt
x = [1,2,3]
plt.bar(x, [10, 11, 12], label='coolness', width=0.4, align='edge')
plt.bar(x, [90, 85, 88], label='friendness', width=-0.4, align='edge')
plt.xticks(x, ['UA', 'UK', 'USA'])
plt.show()ctrl + cimport matplotlib.pyplot as pltloads Matplotlib module to use plotting capabilities | .barwill plot bar chart |
['UA', 'UK', 'USA']x-axis labels | [10, 11, 12]y-axis values of a second column of each bar |
[90, 85, 88]y-axis values of a first column of each bar | width=0.4, align='edge'draw this bar column at 40% width and aligned to the right |
width=-0.4, align='edge'draw this bar column at 40% width and aligned to the left (since width is negative) | .show()render chart in a separate window |
Usage example
import matplotlib.pyplot as plt
x = [1,2,3]
plt.bar(x, [10, 11, 12], label='coolness', width=0.45, align='edge')
plt.bar(x, [90, 85, 88], label='friendness', width=-0.45, align='edge')
plt.xticks(x, ['UA', 'UK', 'USA'])
plt.show()Related
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See more codes...