How to create a histogram in Matplotlib

This article will explain in detail how to create a histogram in Matplotlib. The editor thinks it is very practical, so I share it with you for reference. I hope you can get something after reading this article.

Getting started example

Let's take a look at an example: read a data.csv file to count the information distribution of all interviewees in different age groups, and specify a location with a middle-aged age of 29 to display it. The csv file contains a total of 79211 pieces of data:

The above figure is mismatched. The specific code is as follows:

Import pandas as pdfrom matplotlib import pyplot as pltfrom matplotlib import rcParams# sets chart font Prevent Chinese garbled rcParams ['font.family'] =' Microsoft YaHei'rcParams ['font.sans-serif'] =' Microsoft YaHei'# Chart style plt.style.use ('fivethirtyeight') # read data data = pd.read_csv (' data.csv') ids = data ['Responder_id'] ages = data [' Age'] # define box segment list bins = [10, 20, 30, 40, 50, 60, 70, 80, 90,100]

# Construction histogram # Color of edges connected between each box # y axis number shows logplt.hist (ages,bins,edgecolor='white',log=True) # define middle age median_age = 29color ='# fc4f30'#axvline () add vertical lines to the axis. Plt.axvline (median_age, color=color, label=' middle age', linewidth=2)

Plt.legend () plt.title ('age distribution') plt.xlabel ('age') plt.ylabel ('total number of respondents')

Plt.tight_layout ()

Plt.show ()

Running result:

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