importmatplotlib.pyplotaspltimportnumpyasnp# 创建示例数据x=np.linspace(0,10,100)y1=np.sin(x)y2=np.cos(x)y3=np.exp(-x/10)y4=np.log(x+1)# 创建2x2的子图布局plt.figure(figsize=(10,8))plt.subplot(2,2,1)plt.plot(x,y1)plt.title('Sine Wave - how2matplotlib.com')plt.subplot(2,...
后面的bar、scatter、plot和pie函数分别绘制了柱状图、散点图、折(直)线图和饼图。 importmatplotlib.pyplot as plot labels= ['A','B','C'] values= [1, 2, 3] plot.figure(1, figsize=(9, 6)) plot.suptitle('Multiple Plots') plot.subplot(221) plot.bar(labels, values) plot.subplot(222) ...
import matplotlib.pyplot as plot labels = ['A', 'B', 'C'] values = [1, 2, 3] plot.figure(1, figsize=(9, 6)) 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)...
Matplotlib multiple plots example Example #2 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....
importmatplotlib.pyplotaspltimportnumpyasnp# Example datax=np.linspace(0,10,100)y1=np.sin(x)y2=np.cos(x)y3=np.tan(x)y4=np.exp(-x)# Creating Multiple Subplots for Line Plotsfig,axes=plt.subplots(nrows=2,ncols=2,figsize=(10,8))# Line Plot 1axes[0,0].plot(x,y1,label='sin(...
With thesubplot()function you can draw multiple plots in one figure: ExampleGet your own Python Server Draw 2 plots: importmatplotlib.pyplotasplt importnumpyasnp #plot 1: x =np.array([0,1,2,3]) y = np.array([3,8,1,10])
在matplotlib.pyplot 中,各种状态在函数调用之间会被保留,因此它可以跟踪当前图形和绘图区域,并将绘图函数指向当前的Axes(请注意,我们使用大写的 "Axes" 来指代图形中的 Axes 概念,它是图形的核心部分,而不仅仅是 "axis" 的复数形式)。 注意 隐式的 pyplot API 通常更简洁,但不如显式 API 灵活。大多数函数调用...
You can add a legend to the graph for differentiating multiple lines in the graph in python using matplotlib by adding the parameterlabelin the matplotlib.pyplot.plot() function specifying the name given to the line for its identity. After plotting all the lines, before displaying the graph, ...
pandas_alive.animate_multiple_plots('examples/italy-covid.gif',plots,figs,enable_progress_bar=True) 单摆运动 def simple():import pandas as pdimport matplotlib.pyplot as pltimport pandas_aliveimport numpy as np # Physical constantsg = 9.81L = .4mu = 0.2 ...
在使用matplotlib之前,我们需要在Jupyter notebook中使用‘import’方法来导入这个包。PyPlot是matplotlib中最常用的数据可视化模块,通常使用PyPlot就足以满足可视化的需求。 # import matplotlib library as mpl import matplotlib as mpl #import the pyplot module from matplotlib as plt (short name used for referring...