（86）--Python数据分析：散布图

# 散布图必须通过两个数据序列才能绘制而成，也可以通过一个数据框绘制成散布矩阵。

 import pandas as pd

import numpy as np

import matplotlib.pyplot as plt
X1=np.arange(1,1002,1)

X2=np.random.normal(3,1,1001)

X3=np.random.randn(1001)

X4=np.random.rand(1001)

X5=np.random.beta(2,1,1001)


test_data=np.column_stack((np.column_stack((np.column_stack((np.column_stack((X1,X2)),X3)),X4)),X5))

test_frame=pd.DataFrame(test_data)

pd.scatter_matrix(test_frame,diagonal='kde',color='g',figsize=(10,10))

C:\ProgramData\Anaconda3\lib\site-packages\ipykernel_launcher.py:21: FutureWarning: pandas.scatter_matrix is deprecated. Use pandas.plotting.scatter_matrix instead
Out[1]: 
array([[,
        ,
        ,
        ,
        ],
       [,
        ,
        ,
        ,
        ],
       [,
        ,
        ,
        ,
        ],
       [,
        ,
        ,
        ,
        ],
       [,
        ,
        ,
        ,
        ]], dtype=object)

plt.show()

散布矩阵数据索引图如下：

X1X1密度图	X2X1	X3X1	X4X1	X5X1
X1X2	X2X2密度图	X3X2	X4X2	X5X2
X1X3	X2X3	X3X3密度图	X4X3	X5X3
X1X4	X2X4	X3X4	X4X4密度图	X5X4
X1X5	X2X5	X3X5	X4X5	X5X5密度图

 

 

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