导入包
import numpy as np
import matplotlib.pyplot as plt
准备数据
x=np.array([‘baseketball’,’football’,’baseball’,’beautiful’])
y=np.array([10,15,20,25])
c=np.array([“#4caf50″,’red’,’hotpink’,”#556b2f”])
插入数据
plt.bar(x,y,color=c,width=0.5)
plt.title(‘hobby’)
plt.show()
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导入包
import numpy as np
import matplotlib.pyplot as plt
#准备数据
y=np.array([10,20,30,40])
l=['baseball','tennis','pingpong','others']
c=np.array(["#4caf50",'red','hotpink',"#556b2f"])
e=(0,0.2,0,0.1)
#插入数据
plt.pie(y,labels=l,colors=c,autopct='%.1f%%',explode=e)
plt.title('hobby')
plt.savefig('hobby.png')
plt.show()
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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
#数据准备
x=np.random.randn(100)
y=np.random.randn(100)
#matplot画图
plt.scatter(x,y,marker='x')
plt.show()
#用seaborn画图
df=pd.DataFrame({'x':x,'y':y})
sns.jointplot(x='x',y='y',data=df,kind='scatter')
plt.show()
#折线图数据准备
x=[2010,2011,2012,2013,2014,2015,2016,2017,2018,2019]
y=[5,3,5,76,45,3,43,22,3,4]
#用matplotlib画图
plt.plot(x,y)
plt.show()
#用seaborn画图
df=pd.DataFrame({'x':x,'y':y})
sns.jointplot(x='x',y='y',data=df,kind='scatter')
plt.show()
Original: https://blog.csdn.net/weixin_59862023/article/details/124606803
Author: 大数据技术李建波
Title: python画图
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