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 + cgithub

`import matplotlib.pyplot as plt` loads Matplotlib module to use plotting capabilities	`.bar` will 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

How to make bar chart with multiple columns, python matplotlib

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()

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python-matplotlibHow to make bar chart with multiple columns

Usage example

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More of Python Matplotlib