python-matplotlibHow to make bar chart with multiple columns using Numpy

import matplotlib.pyplot as plt
import numpy as np

x = np.array([1,2,3])
plt.bar(x+0.2, [10, 11, 12], width=0.25)
plt.bar(x+0.5, [90, 85, 88], width=0.25)
plt.bar(x+0.8, [51, 50, 49], width=0.25)

plt.show()ctrl + cgithub

`import matplotlib.pyplot as plt` loads Matplotlib module to use plotting capabilities	`import numpy as np` load Numpy module for Python
`np.array([1,2,3])` define x-axis values as Numpy array	`x+0.2, [10, 11, 12], width=0.25` plot first column of each bar with `25%` width `[10,11,12]` values and `20%` offset from left
`(x+0.5, [90, 85, 88], width=0.25)` plot second column of each bar with `25%` width `[90, 85, 88]` values and `50%` offset from left	`(x+0.8, [51, 50, 49], width=0.25)` plot third column of each bar with `25%` width `[51, 50, 49]` values and `80%` offset from left
`.show()` render chart in a separate window

How to make bar chart with multiple columns using Numpy, python matplotlib

Usage example

import matplotlib.pyplot as plt
import numpy as np

x = np.array([1,2,3])
plt.bar(x+0.2, [10, 11, 12], width=0.25)
plt.bar(x+0.5, [90, 85, 88], width=0.25)
plt.bar(x+0.8, [51, 50, 49], width=0.25)
plt.show()

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python-matplotlibHow to make bar chart with multiple columns using Numpy

Usage example

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More of Python Matplotlib