20,200)data2=np.random.normal(90,25,200)# 创建箱线图plt.figure(figsize=(10,6))plt.boxplot([data1,data2],labels=['Group 1','Group 2'])plt.title('Two Boxplots on Same Axes - how2matplotlib.com')plt.ylabel('Values')pl
y = np.array([10, 20, 30, 40])plt.subplot(2, 1, 2)plt.plot(x,y)plt.show() Result: Try it Yourself » You can draw as many plots you like on one figure, just descibe the number of rows, columns, and the index of the plot....
x=np.arange(10)y1=np.random.randint(1,10,10)y2=np.random.randint(1,10,10)plt.step(x,y1,label='Data 1')plt.step(x,y2,label='Data 2')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.title('Comparison of Two Step Plots - how2matplotlib.com')plt.legend()plt.show() Python Copy...
import matplotlib.pyplot as plt# Generate data for plots x = [1, 2, 3, 4, 5]y = x# Get an empty figurefig1 = plt.figure()# Get the axes instance at 1st location in 1x1 gridax = fig1.add_subplot(1,1,1)# Generate the plotax.plot(x, y)# Set labels for x and y axisax...
interactive_framework attribute was deprecated in Matplotlib 3.6 and will be removed two minor...相关代码如下: import matplotlib import matplotlib.pyplot as plt # 解决绘图异常问题 matplotlib.use('Qt5Agg') 这里backend...方案二:设置IDE中的Python设置 设置IDE中的Python设置,取消”Show plots in tool ...
# To show the multiple plots in separate figure instead of a single figure, use plt.show() statement before the next plot statement as shown belowx= np.linspace(0,100,50)plt.plot(x,'r',label='simple x')plt.show()plt.plot(x*x,'g',label='two times x')plt.show()plt.legend(loc...
# To show the multiple plots in separate figure instead of a single figure, use plt.show() statement before the next plot statement as shown below x= np.linspace(0,100,50) plt.plot(x,'r',label='simple x') plt.show() plt.plot(x*x,'g',label='two times x') ...
plt.show() 1. 2. 3. 4. 5. 用plt.text() 函数,其参数解释如下: 第一、二个参数是指横轴和纵轴坐标 第三个参数字符是指要显示的内容 ha, va 是横向和纵向位置 size 设置字体大小 alpha 设置字体透明度 (0.5 是半透明) 在图中可以添加基本元素「图片」。
传入x,y, 通过plot画图 plt.plot([1,0,9],[4,5,6]) # 在执行程序的时候显示图形 plt.show(...
# First create a grid of plots # ax will be an array of two Axes objects fig, ax = plt.subplots(2) # Call plot() method on the appropriate object ax[0].plot(x, np.sin(x)) ax[1].plot(x, np.cos(x)); 散点图 散点图表示有不同的方法和自定义。