PythonPandas工具绘制数据图使用教程

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
data=np.random.randn(5,2)*10
df=pd.DataFrame(np.abs(data),index=[1,2,3,4,5],columns=[1,2])
df.plot()
plt.show()

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
data=np.random.randn(5,2)*10
df=pd.DataFrame(np.abs(data),index=[1,2,3,4,5],columns=[1,2])
df.plot(kind='bar')
plt.show()

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
data=np.random.randn(5,2)*10
df=pd.DataFrame(np.abs(data),index=[1,2,3,4,5],columns=[1,2])
df.plot(kind='barh')
plt.show()

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
data=np.random.randn(5,2)*10
df=pd.DataFrame(np.abs(data),index=[1,2,3,4,5],columns=[1,2])
df.plot(kind='bar',stacked=True)
plt.show()

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
data=np.random.randn(5,2)*10
df=pd.DataFrame(np.abs(data),index=[1,2,3,4,5],columns=[1,2])
df.plot(kind='barh',stacked=True)
plt.show()

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
data=np.random.randn(5,2)*10
df=pd.DataFrame(np.abs(data),index=[1,2,3,4,5],columns=['A','B'])
df.plot(kind='scatter',x='A',y='B',s=df.A*100,c='red')
plt.show()

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df=pd.Series(3*np.random.rand(4),index=['a','b','c','d'])
df.plot.pie(figsize=(6,6))
plt.show()

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df=pd.DataFrame(np.random.randn(1000,2),columns=['a','b'])
df.plot.hexbin(x='a',y='b',sharex=False,gridsize=30)
plt.show()

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df=pd.DataFrame(np.random.randn(1000,2),columns=['a','b'])
df.plot(y=df.columns,kind='box',vert=False)
plt.show()

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df=pd.DataFrame(np.random.randn(5,2),columns=['a','b'])
df.plot(subplots=True,layout=(2,3),figsize=(10,10),kind='bar')
plt.show()