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This article mainly explains "Python how to draw Matplotlib histogram", the explanation content in the article is simple and clear, easy to learn and understand, please follow the idea of Xiaobian slowly in-depth, together to study and learn "Python how to draw Matplotlib histogram"!

Foreword:

A histogram is a graph that uses rectangular bars to represent the distribution of data, arranged horizontally or vertically, and whose height or length is proportional to the values they represent.

Matplotlib provides bar() methods to draw histograms,

The syntax format is as follows:

plt.bar(x, height, width=0.8, bottom=None, *, align='center', data=None, **kwargs)

Common parameters and descriptions are as follows:

x: represents x-axis data, receives list-type data

height: indicates the height of the histogram, receiving list type data

width: indicates the width of the histogram, receiving decimals between 0 and 1, default is 0.8

bottom: indicates the starting value of y coordinate of histogram, default is 0

align: indicates the alignment of the histogram with the x coordinate. The value is "center" or "edge". The default is "center", which means that the histogram is centered on the x coordinate. Set to "edge" to indicate that the left edge of the histogram is aligned with the x coordinate. At the same time, passing a negative width indicates that the right edge of the histogram is aligned with the x coordinate.

color: represents histogram color, can be a string or list

edgecolor: indicates the border color of the histogram, which can be a string or a list

For example, here are the popularity scores for several cities (examples):

import matplotlib.pyplot as pltx = ["beijing", "tianjin", "shanghai", "jinan"]y = [99, 88, 96, 75]plt.bar(x,y)plt.show()

The output is as follows:

If you want to draw a horizontal cylinder, you can use the barh() method,

As follows:

import matplotlib.pyplot as pltx = ["beijing", "tianjin", "shanghai", "jinan"]y = [99, 88, 96, 75]plt.barh(x,y)plt.show()

The output is as follows:

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