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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 + c
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