时间:2022-10-11 12:12:42 | 栏目:Python代码 | 点击:次
第一个图形从简单的开始。
# importing the required module import matplotlib.pyplot as plt # x axis values x = [1,2,3] # corresponding y axis values y = [2,4,1] # plotting the points plt.plot(x, y) # naming the x axis plt.xlabel('x - axis') # naming the y axis plt.ylabel('y - axis') # giving a title to my graph plt.title('My first graph!') # function to show the plot plt.show()
如果想在同一张图上再绘制多条线,可反复使用.plot()
函数。
import matplotlib.pyplot as plt # line 1 points x1 = [1,2,3] y1 = [2,4,1] # plotting the line 1 points plt.plot(x1, y1, label = "line 1") # line 2 points x2 = [1,2,3] y2 = [4,1,3] # plotting the line 2 points plt.plot(x2, y2, label = "line 2") # naming the x axis plt.xlabel('x - axis') # naming the y axis plt.ylabel('y - axis') # giving a title to my graph plt.title('Two lines on same graph!') # show a legend on the plot plt.legend() # function to show the plot plt.show()
下面将讨论适用于几乎所有场景的一些基本自定义。
import matplotlib.pyplot as plt # x axis values x = [1,2,3,4,5,6] # corresponding y axis values y = [2,4,1,5,2,6] # plotting the points plt.plot(x, y, color='green', linestyle='dashed', linewidth = 3,marker='o', markerfacecolor='blue', markersize=12) # setting x and y axis range plt.ylim(1,8) plt.xlim(1,8) # naming the x axis plt.xlabel('x - axis') # naming the y axis plt.ylabel('y - axis') # giving a title to my graph plt.title('Some cool customizations!') # function to show the plot plt.show()
如上面代码所示,我们进行了一些自定义的改变:
pyplot
模块使用自动缩放功能来设置轴范围和比例。