1、使用to_numpy()转换

pandas v0.24.0以上版本，可以使用to_numpy()方法，

例如，

import numpy as np
import pandas as pd
df = pd.DataFrame(data={'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}, 
                  index=['a', 'b', 'c'])
# 转换整个 DataFrame
df.to_numpy()
# array([[1, 4, 7],
#        [2, 5, 8],
#        [3, 6, 9]])
# 转换指定列
df[['A', 'C']].to_numpy()
# array([[1, 7],
#        [2, 8],
#        [3, 9]])

2、使用DataFrame中values

import numpy as np
import pandas as pd
df = pd.DataFrame(data={'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}, 
                  index=['a', 'b', 'c'])
df.values
# array([[1, 4, 7],
#        [2, 5, 8],
#        [3, 6, 9]])

3、使用DataFrame的as_matrix()

import numpy as np
import pandas as pd
df = pd.DataFrame(data={'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}, 
                  index=['a', 'b', 'c'])
df.as_matrix()
# array([[1, 4, 7],
#        [2, 5, 8],
#        [3, 6, 9]])

4、使用Numpy的array()

import numpy as np
import pandas as pd
df = pd.DataFrame(data={'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}, 
                  index=['a', 'b', 'c'])
np.array(df)
# array([[1, 4, 7],
#        [2, 5, 8],
#        [3, 6, 9]])