1. Python的figure参数主要有：

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。

2. subplot子图绘制，子图的绘图参数可以分别设置

plt.figure(1)x1 = np.linspace(-0.2, 2, 10)y1 = x1**2 + 0.3plt.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 + 0.3plt.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()

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

import matplotlib.pyplot as pltimport numpy as npplt.figure(2)x1 = np.linspace(-0.2, 2, 10)y1 = x1**2 + 0.3plt.scatter(x1, y1)x2 = np.linspace(-0.2, 2, 10)y2 = x2 + 0.3plt.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()

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。