plot.suptitle('Multiple Plots') plot.subplot(221) plot.bar(labels, values) plot.subplot(222) plot.scatter(labels, values) plot.subplot(223) plot.plot(labels, values) plot.subplot(224) plot.pie(values, labels=labels) plot.show() 本文地址:https://www.cnblogs.com/laishenghao/p/9573465.html...
In this example, we’ll use the subplots() function to create multiple plots. # Import libraryimport matplotlib.pyplot as plt# Create figure and multiple plotsfig, axes = plt.subplots(nrows=2, ncols=2)# Auto adjustplt.tight_layout()# Displayplt.show() Importmatplotlib.pyplotaspltfor graph ...
12, 14, 16, 18, 20] # 绘制多个箱线图 plt.boxplot([data1, data2, data3]) # 设置标题和轴标签 plt.title("Multiple Box Plots") plt.xlabel("Data") plt.ylabel("Values") # 设置 x 轴刻度标签 plt.xticks([1, 2, 3], ['Data 1', 'Data 2', 'Data 3']) # 显示图像 plt.show(...
plt.show() This marks the end of theHow to create multiple Plots in Python Matplotlib Tutorial. Any suggestions or contributions for CodersLegacy are more than welcome. Questions regarding the tutorial content can be asked in the comments section below....
Now, let’s explore how to add legends to only a specific part of a plot in Matplotlib. We can achieve this by creating multiple plots on the same axes and adding legends only for the desired elements. importmatplotlib.pyplotasplt# Create some datax=[1,2,3,4,5]y1=[1,4,9,16,25]...
z = x^2ax2.plot(x, z)ax2.set_xlabel('X--->')ax2.set_ylabel('z=X^2--->')ax2.set_title('z=x^2 plot')# Generate the title for the Figure. Note that this is different then the title for individual plotsplt.suptitle("Two plots in a figure")plt.show() 1. 执行上面的代码...
linspace(-3,3,4*n)y = np.linspace(-3,3,3*n)X,Y = np.meshgrid(x,y)imshow(f(X,Y)), show()饼状图 from pylab import *n = 20Z = np.random.uniform(0,1,n)pie(Z), show()量场图（Quiver Plots）from pylab import *n = 8X,Y = np.mgrid[0:n,0:n]quiver(X,Y), show()网...
show() 图29 30 分类图 (Categorical Plots) 由seaborn库 提供的分类图可用于可视化彼此相关的2个或更多分类变量的计数分布。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 复制 # Load Dataset titanic = sns.load_dataset("titanic") # Plot g = sns.catplot("alive", col="deck", col_wrap=4,...
defsetup(ax,title):"""Set up common parameters for the Axes in the example."""# only show the bottom spine ax.yaxis.set_major_locator(ticker.NullLocator())ax.spines['right'].set_color('none')ax.spines['left'].set_color('none')ax.spines['top'].set_color('none')# define tick po...
meshgrid(x,y) imshow(f(X,Y)), show() 饼状图[源码文件] from pylab import * n = 20 Z = np.random.uniform(0,1,n) pie(Z), show() 量场图(Quiver Plots)[源码文件] from pylab import * n = 8 X,Y = np.mgrid[0:n,0:n] quiver(X,Y), show() 网格[源码文件] from pylab ...