python修改y轴刻度_Python

python修改y轴刻度_Python | Y轴刻度限制

python修改y轴刻度

In some cases, we need to visualize our data within some defined range rather than the whole data. For this, we generally set the y-axis scale within a limit and this ultimately helps us to visualize better. Sometimes, it acts as zooming and a very helpful technique in data visualization. Therefore, Matplotlib has a defined function for this operation matplotlib.pyplot.ylim().

在某些情况下，我们需要在一定范围内可视化我们的数据，而不是整个数据。为此，我们通常将y轴比例设置在限制范围内，这最终将帮助我们更好地可视化。有时，它在数据可视化中充当缩放和非常有用的技术。因此，Matplotlib为此操作matplotlib.pyplot.ylim()定义了函数。

Following is an example showing a different y-axis Limit in plots using matplotlib.pyplot.

以下示例显示了使用matplotlib.pyplot在图中不同的y轴限制。

Syntax:

句法：

matplotlib.pyplot.ylim(lower_limit, upper_limit )
plt.show()

y轴比例限制的Python代码 (Python code for y-axis scale limit)

import numpy as np
import matplotlib.pyplot as plt
x = np.arange(500)
y1 = np.arange(500)
for i in range(500):
y1[i] = 2*x[i] + np.random.randint(0,56)
plt.figure()
plt.plot(x,y1)
plt.xlabel('Number Line')
plt.ylabel('Function')
plt.title('Whole Data')
plt.figure()
plt.plot(x,y1)
plt.ylim(-1000,2000)
plt.xlabel('Number Line')
plt.ylabel('Function')
plt.title('Limit for Y axis is Set')

Output:

输出：