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,...
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(x...
There is another way of managing the multiple plots using theconcept of tuple unpacking. The syntax is a bit different, but the purpose is the same. 1 2 3 4 5 6 7 8 9 10 11 fromturtleimportcolor importmatplotlib.pyplot as plt importnumpy as np x=np.arange(-6,6,0.1) y=np.cos(x...
importmatplotlib.pyplotaspltplt.figure(1)# the first figureplt.subplot(211)# the first subplot in the first figureplt.plot([1,2,3])plt.subplot(212)# the second subplot in the first figureplt.plot([4,5,6])plt.figure(2)# a second figureplt.plot([4,5,6])# creates a subplot() by...
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) plot.scatter(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....
With the subplot() function you can draw multiple plots in one figure:ExampleGet your own Python ServerDraw 2 plots:import matplotlib.pyplot as pltimport numpy as np#plot 1:x = np.array([0, 1, 2, 3])y = np.array([3, 8, 1, 10])plt.subplot(1, 2, 1) plt.plot(x,y)#plot ...
>>>from pylabimport *>>> help(plot)Help on function plotin module matplotlib.pyplot:plot(*args, **kwargs)Plot linesand/or markers to the:class:`~matplotlib.axes.Axes`. *args*is a variable lengthargument, allowingfor multiple *x*, *y* pairswith anoptional format string. For example, ...
import matplotlib.pyplot as plt N = 50 x = np.linspace(0., 10., N) y = np.sin(x)**2 + np.cos(x) 1. 2. 3. 4. 5. 6. 7. 变量x 是从 0 到 10 的 50 个数据的数组。变量 y 是 sin(x) 和 cos(x) 的平方之和。可以使用以下代码以散点图...
1.首先使用Matplotlib.pyplot模块中的annotate( )函数,使用其注释功能来画树的结点 import matplotlib.pyplot as plt decisionNode = dict(boxstyle = "sawtooth",fc="0.8") leafNode = dict(boxstyle = "round4",fc="0.8") arrow_args = dict(arrowstyle="<-") ...