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Matplotlib automatically reaches the limits along the x, y (and3. In the case of D graph, it is the minimum and maximum values of the variable displayed on the z-axis) axis. However, you can explicitly set the limits using the set_xlim() and set_ylim() functions.
In the following figure, the automatic scaling limits of the x and y axes are displayed -
# Filename : example.py
# Copyright : 2020 By w3codebox
# Author by : www.oldtoolbag.com
# Date : 2020-08-08
#! /usr/bin/env python
#coding=utf-8
import matplotlib.pyplot as plt
import numpy as np
import math
plt.rcParams['font.sans-serif'] = ['SimHei'] # Step one (replace sans-serif font)
plt.rcParams['axes.unicode_minus'] = False # Original text from 【Lidi Huo】, commercial redistribution please contact the author for authorization, non-commercial please retain the original link:
ax = plt.subplot(111)
x = np.arange(1,10)
y = np.exp(x)
ax.plot(x, y)
#ax.set_ylim(0,10000)
ax.set_title('Exponential Values')
plt.show()Execute the above example code to get the following results -
Now format the limits on the x-axis as (0 to10) and the y-axis (0 to10000) -
# Filename : example.py
# Copyright : 2020 By w3codebox
# Author by : www.oldtoolbag.com
# Date : 2020-08-08
#! /usr/bin/env python
#coding=utf-8
import matplotlib.pyplot as plt
import numpy as np
import math
plt.rcParams['font.sans-serif'] = ['SimHei'] # Step one (replace sans-serif font)
plt.rcParams['axes.unicode_minus'] = False # Original text from 【Lidi Huo】, commercial redistribution please contact the author for authorization, non-commercial please retain the original link:
ax = plt.subplot(111)
x = np.arange(1,10)
y = np.exp(x)
ax.plot(x, y)
ax.set_xlim(0,10)
ax.set_ylim(0,10000)
ax.set_title('Exponential Values')
plt.show()Execute the above example code to get the following results -