机器学习之python常用库matplotlib

import matplotlib.pyplot as plt
import numpy as np
plt.plot([1,4,9],[5,5,5])
plt.show()运行结果
“”"
@Theme matplotlib
@author lz
@Time 2018/12/10
@content figure
“”"
import matplotlib.pyplot as plt
import numpy as np
x=np.arange(-3,3,0.1)#区间为-3到3,间隔长度为0.1
y1=np.sin(x)
y2=np.cos(x)
plt.figure()
plt.plot(x,y1)
#改变figure的名称
plt.figure(num=5,figsize=(5,4))
plt.plot(x,y2)
plt.show()
运行结果
“”"
@Theme matplotlib
@author lz
@Time 2018/12/10
@content 两个图像在一张图上显示
“”"

import matplotlib.pyplot as plt
import numpy as np
x=np.arange(-3,3,0.1)
y1=np.sin(x)
y2=np.cos(x)
plt.plot(x,y1,color=“red”,linestyle="-",marker=“o”,markersize=10,alpha=0.5)
plt.show()运行结果
“”"
@Theme matplotlib
@author lz
@Time 2018/12/11
@content 两个图像在一张图上显示
“”"
import matplotlib.pyplot as plt
import numpy as np
import matplotlib as mpl
mpl.rcParams[‘font.sans-serif’] = [‘SimHei’]
mpl.rcParams[‘axes.unicode_minus’] = False

x1=np.arange(1,10,1)
y1=x1+1
x2=[2,4.6]
y2=x2
plt.plot(x1,y1)
plt.plot(x2,y2)
#创建图像
plt.figure()
plt.subplot(221)
plt.plot(x1,y1,“ro–”)
plt.subplot(223)
plt.plot(x2,y2,“bo–”)
plt.show()
运行结果
“”"
@Theme matplotlib
@author lz
@Time 2018/12/11
@content 利用面向对象两个图像在一张图上显示
利用创建的对象来调用方法,绘图
“”"
import matplotlib.pyplot as plt
import numpy as np
import matplotlib as mpl
mpl.rcParams[‘font.sans-serif’] = [‘SimHei’]
mpl.rcParams[‘axes.unicode_minus’] = False
fig=plt.figure(figsize=(8,6))
#在figure上创建对象
ax1=fig.add_subplot(221)
ax2=fig.add_subplot(222)
ax3=fig.add_subplot(212)
#在ax1,ax2,ax3上绘图
ax1.plot(np.random.rand(50).cumsum(),“g-”)
ax2.plot(np.random.rand(50).cumsum(),“b–”)
ax3.plot(np.random.rand(50).cumsum(),“k-”)
plt.show()

运行结果

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转载自blog.csdn.net/weixin_43247522/article/details/84954601