python的plt绘制子图_Python figure参数及subplot子图绘制代码

1. Python的figure参数主要有：9yr免费资源网

def figure(num=None, # autoincrement if None, else integer from 1-N

figsize=None, # defaults to rc figure.figsize

dpi=None, # defaults to rc figure.dpi

facecolor=None, # defaults to rc figure.facecolor

edgecolor=None, # defaults to rc figure.edgecolor

frameon=True,

FigureClass=Figure,

clear=False,

**kwargs

):

可以设置图片大小、分辨率、颜色等。9yr免费资源网

2. subplot子图绘制，子图的绘图参数可以分别设置9yr免费资源网

plt.figure(1)

x1 = np.linspace(-0.2, 2, 10)

y1 = x1**2 + 0.3

plt.subplot(121)

plt.scatter(x1, y1)

plt.xlabel('X')

plt.ylabel('Y')

plt.title('test_1')

x2 = np.linspace(-0.2, 2, 10)

y2 = x2 + 0.3

plt.subplot(122)

plt.plot(x2, y2, color="red", linewidth=1.0, marker = 's', linestyle="--")

## plt.plot(x, y, color="#ef5492", linewidth=2.0, marker = 's', linestyle="--")

# plt.plot(x2, y2, 'rs--')

plt.xlabel('X')

plt.ylabel('Y')

plt.title('test_2')

plt.show()

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3. 在同一张图片上显示多种图形，简单说把 plt.show()放在最后即可9yr免费资源网

import matplotlib.pyplot as plt

import numpy as np

plt.figure(2)

x1 = np.linspace(-0.2, 2, 10)

y1 = x1**2 + 0.3

plt.scatter(x1, y1)

x2 = np.linspace(-0.2, 2, 10)

y2 = x2 + 0.3

plt.plot(x2, y2, color="red", linewidth=1.0, marker = 's', linestyle="--")

## plt.plot(x, y, color="#ef5492", linewidth=2.0, marker = 's', linestyle="--")

# plt.plot(x2, y2, 'rs--')

plt.xlabel('X')

plt.ylabel('Y')

plt.title('test_3')

plt.show()

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