Numpy：取消numpy数组默认以科学计数法显示

描述

• 我们在做数据分析的时候，经常会读取文件的数据之后转换成np.ndarray对象，但是np.ndarray经常默认以科学计数法显示，比如：

import pandas as pd
import numpy as np

mnist = pd.read_csv('../dataset/all_mnist_data.csv').values
instance = mnist[0]

print(instance)

• 输出如下，看着真令人头大

    [  5.00000000e+00   0.00000000e+00   0.00000000e+00   0.00000000e+00
       ...              ...              ...              ...
       0.00000000e+00   1.17187500e-02   7.03125000e-02   7.03125000e-02
       7.03125000e-02   4.92187500e-01   5.31250000e-01   6.83593750e-01
       1.01562500e-01   6.48437500e-01   9.96093750e-01   9.64843750e-01
       ...              ...              ...              ...
       0.00000000e+00   0.00000000e+00   0.00000000e+00   0.00000000e+00
       0.00000000e+00]

解决方法

• 直接看代码

import pandas as pd
import numpy as np
'''只要设置这句代码就可以了'''
np.set_printoptions(suppress=True)

mnist = pd.read_csv('../dataset/all_mnist_data.csv').values
instance = mnist[0]

print(instance)

• 效果如下，Great ！

    [ 5.          0.          0.          0.          0.          0.          0.
      ...         ...         ...         ...         ...         ...         ...
      0.01171875  0.0703125   0.0703125   0.0703125   0.4921875   0.53125
      0.68359375  0.1015625   0.6484375   0.99609375  0.96484375  0.49609375
      ...         ...         ...         ...         ...         ...         ...
      0.          0.          0.          0.          0.          0.          0.
      0.          0.          0.          0.          0.        ]