01、加载库

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

02、示例数据

x = np.linspace(-np.pi*2, np.pi*2)

y1 = np.sin(x)

y2 = np.power(x, 2) * 0.05 # 指数运算

df = pd.DataFrame({'a': y1, 'b': y2}, index=x)

1、默认设置下的图形

fig = plt.figure()

df.plot()

plt.show()

2、设置坐标轴标签字体大小和颜色

fig = plt.figure()

df.plot()

plt.yticks(size=14, color='grey')

plt.xticks(size=14, color='grey')

plt.show()

3、更改竖轴刻度范围

fig = plt.figure()

df.plot()

plt.ylim(-2, 3)

plt.yticks(size=14, color='grey')

plt.xticks(size=14, color='grey')

plt.show()

4、更换横轴刻度标签

xticks = [-2*np.pi, -3*np.pi/2, -np.pi, -np.pi/2, 0, np.pi/2, np.pi, 3*np.pi/2, 2*np.pi]

xticklabes = ['-2π', '-3π/2', '-π', '-π/2', 0, 'π/2', 'π', '3π/2', '2π' ]

fig = plt.figure()

df.plot()

plt.ylim(-2, 3)

plt.yticks(size=14, color='grey')

plt.xticks(xticks, xticklabes, size=14, color='grey')

plt.show()

5、 移动坐标轴到中心

xticks = [-2*np.pi, -3*np.pi/2, -np.pi, -np.pi/2, 0, np.pi/2, np.pi, 3*np.pi/2, 2*np.pi]

xticklabes = ['-2π', '-3π/2', '-π', '-π/2', 0, 'π/2', 'π', '3π/2', '2π' ]

fig = plt.figure()

df.plot()

ax = plt.gca()

plt.ylim(-2, 3)

plt.yticks(size=14, color='grey')

plt.xticks(xticks, xticklabes, size=14, color='grey')

ax.spines['right'].set_color('none')

ax.spines['top'].set_color('none')

ax.spines['left'].set_position(('data', 0))

ax.spines['bottom'].set_position(('data', 0))

plt.show()

6、设置横轴刻度标签倾斜显示

xticks = [-2*np.pi, -3*np.pi/2, -np.pi, -np.pi/2, 0, np.pi/2, np.pi, 3*np.pi/2, 2*np.pi]

xticklabes = ['-2π', '-3π/2', '-π', '-π/2', 0, 'π/2', 'π', '3π/2', '2π' ]

fig = plt.figure()

df.plot()

ax = plt.gca()

ax.spines['right'].set_color('none')

ax.spines['top'].set_color('none')

ax.spines['left'].set_position(('data', 0))

ax.spines['bottom'].set_position(('data', 0))

plt.ylim(-2, 3)

plt.yticks(size=14, color='grey')

plt.xticks(xticks, xticklabes, rotation=-30, size=14, color='grey')

plt.show()

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。