About the return value of the histogram.
Hello. This time I would like to take a look at the hist method inside the matplotlib module. What was surprising to me was that this function returned three return values. Let's start with the sample code!
Sample code
hist_sample.py
import matplotlib.pyplot as plt
import numpy as np
np.random.seed(123)
mu = 10 #Average value
sigma = 15 #standard deviation
#Create 1000 random numbers that follow a normal distribution with a mean value of 10 and a standard deviation of 15.
x = np.random.normal(mu, sigma, 1000)
#Drawing object (fig)And subplot(ax)Created.
fig, ax = plt.subplots()
#Draw a histogram here! And there are three return values.
n, bins, patches = ax.hist(x)
plt.show()
result:
** How beautiful. ** **
Description of the return value
There are three return values: * n, bins, patches *. Let's look at each one.
--n (array) --Represents the number on the vertical axis. --If you add all the elements, you get 1000 in the above code.
--bins (array) --Coordinates that are the breaks on the horizontal axis --The default size is 10. --ex: [51.3, 61.3, 71.3, ・ ・ ・]
- patches --A set of objects for each bin of the drawn histogram --In other words, the information of each graph is included (color etc.)
Summary
Is the histogram an elementary school? It is also effective as a graph. I think it's better to master it so that it can be visualized quickly. Also, if you want to arrange the histogram Qiita: How to draw a histogram with Matplotlib was very helpful.
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