Python sets the axis scale interval and scale range of matplotlib.plot

1. Use the default settings to draw a line chart

import matplotlib.pyplot as plt
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x_values=list(range(11))
 #x-axis numbers are 11 integers from 0 to 10
y_values=[x**2 for x in x_values]
 #y-axis number is the square of x-axis number
plt.plot(x_values,y_values,c='green')
 #Draw a line chart with the plot function, and set the line color to green
plt.title('Squares',fontsize=24)
 #Set chart title and title font size
plt.tick_params(axis='both',which='major',labelsize=14)
 #Set the font size of the scale
plt.xlabel('Numbers',fontsize=14)
 #Set the x-axis label and its font size
plt.ylabel('Squares',fontsize=14)
 #Set the y-axis label and its font size
plt.show()
 #Display chart

The chart created in this way is shown below:

We hope that the scale of the x-axis is 0,1,2,3,4..., the scale of the y-axis is 0,10,20,30..., and we hope that the range of the two coordinate axes can be larger, so we Need to be set manually.

2. Manually set the coordinate axis scale interval and scale range

import matplotlib.pyplot as plt
from matplotlib.pyplot import MultipleLocator
#Import the MultipleLocator class from pyplot, this class is used to set the scale interval
 
x_values=list(range(11))
y_values=[x**2 for x in x_values]
plt.plot(x_values,y_values,c='green')
plt.title('Squares',fontsize=24)
plt.tick_params(axis='both',which='major',labelsize=14)
plt.xlabel('Numbers',fontsize=14)
plt.ylabel('Squares',fontsize=14)
x_major_locator=MultipleLocator(1)
 #Set the scale interval of the x-axis to 1, and store it in the variable
y_major_locator=MultipleLocator(10)
 #Set the y-axis scale interval to 10 and store it in the variable
ax=plt.gca()
 #ax is an example of two coordinate axes
ax.xaxis.set_major_locator(x_major_locator)
 #Set the main scale of the x-axis to a multiple of 1
ax.yaxis.set_major_locator(y_major_locator)
 #Set the main scale of the y-axis to a multiple of 10
plt.xlim(-0.5,11)
 #Set the scale range of the x-axis to -0.5 to 11, because 0.5 is less than a scale interval, the number will not be displayed, but a little blank can be seen
plt.ylim(-5,110)
 #Set the y-axis scale range from -5 to 110. Similarly, -5 will not be marked, but a little blank can be seen
plt.show()

The drawn result is shown in the figure: