Python中的 Matplotlib.pyplot.savefig()

Matplotlib 是Python中非常有用的可视化库。它是一个基于 NumPy 数组构建的多平台数据可视化库，旨在与更广泛的 SciPy 堆栈一起使用。可视化起着非常重要的作用，因为它可以帮助我们理解大量数据并提取知识。

Matplotlib.pyplot.savefig()

顾名思义，savefig() 方法用于保存绘制数据后创建的图形。使用此方法可以将创建的图形保存到我们的本地机器。

Syntax: 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, metadata=None)

编程需要懂一点英语

参数：

PARAMETERS	DESCRIPTION
fname	Filename .png for image, .pdf for pdf format. File location can also be specified here.
dpi	Number of dots per inch.(picture quality)
papertype	Paper type could be “a0 to a10”, “executive”, “b0 to b10”, “letter”, “legal”, “ledger”.
format	File format such as .png, .pdf.
facecolor and edgecolor	Default as White.
bbox_inches	Set it as “tight” for proper fit of the saved figure.
pad_inches	Padding around the saved figure.
transparent	Makes background of the picture transparent.
Orientation	Landscape or Portrait.

示例 1：

# importing required modules 
import matplotlib.pyplot as plt
  
# creating plotting data
xaxis =[1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
yaxis =[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
  
# plotting 
plt.plot(xaxis, yaxis)
plt.xlabel("X")
plt.ylabel("Y")
  
# saving the file.Make sure you 
# use savefig() before show().
plt.savefig("squares.png")
  
plt.show()

输出：

示例 2：

# importing the modules 
import matplotlib.pyplot as plt
  
  
# creating data and plotting a histogram
x =[1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
plt.hist(x)
  
# saving the figure.
plt.savefig("squares1.png",
            bbox_inches ="tight",
            pad_inches = 1,
            transparent = True,
            facecolor ="g",
            edgecolor ='w',
            orientation ='landscape')
  
plt.show()

输出：