这会将生成的图以 Plot generated using Matplotlib.png 的名称保存在当前工作目录中。我们还可以将图保...
Matplotlib 可以使用savefig()将图直接保存到文件中。 该方法可以这样使用: fig.savefig('plot.png') 完整的例子: importmatplotlibimportmatplotlib.pyplotaspltimportnumpyasnp y=[2,4,6,8,10,12,14,16,18,20]x=np.arange(10)fig=plt.figure()ax=plt.subplot(111)ax.plot(x,y,label='$y = numbers'...
import matplotlib.pyplot as plt import os 创建一个用于保存图像的文件夹: 代码语言:txt 复制 output_folder = 'output' os.makedirs(output_folder, exist_ok=True) 生成一系列matplotlib图,并保存为图像文件: 代码语言:txt 复制 # 生成图像1 plt.plot([1, 2, 3, 4]) plt.savefig(os.path.join(out...
import matplotlib.pyplot as plt import numpy as np from matplotlib.offsetbox import OffsetImage, AnnotationBbox plt.rcParams["font.family"] = 'Arial Unicode MS' # 可视化中文显示 fig, ax = plt.subplots(figsize=(8, 6)) x = np.arange(1, 50, 5) y = x + 5 ax.plot(x, y) #第一种...
保存图像的话,直接save方法即可,指定好 写入工具(writer)就好:ani.save('sin.gif', writer='imagemagick', fps=30) 二、保存动态图 import numpy as np import matplotlib.pyplot as plt from matplotlib import animation # 激活matplotlib后端的渲染引擎qt5 ...
Use thesavefigFunction to Save Plot as SVG File in Matplotlib It is easy to save a plot as an SVG file. Just call thesavefigfunction in the following way. plt.savefig("plot.svg",format="svg") After running the code, the figure will be saved to the current directory, which will be ...
We can simply save a plot as an image file in Matplotlib usingsavefig()method. Syntax forsavefig()method: matplotlib.pyplot.savefig(fname,dpi=None,facecolor="w",edgecolor="w",orientation="portrait",papertype=None,format=None,transparent=False,bbox_inches=None,pad_inches=0.1,frameon=None,metada...
How to save a plot to a file using Matplotlib [Matplotlib](https://matplotlib.org/ is a powerful two-dimensional plotting library for the Python language. Matplotlib is capable of creating all manner of graphs, plots, charts, histograms, and much more....
plt.plot(x, np.sin(x -4), color=(1.0,0.2,0.3))# RGB元组的颜色值,每个值介于0-1 plt.plot(x, np.sin(x -5), color='chartreuse');# 能支持所有HTML颜色名称值 如果没有指定颜色,Matplotlib 会在一组默认颜色值中循环使用来绘制每一条线条。
"""importmatplotlib.pyplotaspltimportnumpyasnp#从-1---1之间等间隔采66个数.也就是说所画出来的图形是66个点连接得来的#注意:如果点数过小的话会导致画出来二次函数图像不平滑x = np.linspace(-1,1,66)# 绘制y=2x+1函数的图像y =2* x +1plt.plot(x, y) plt...