错误的方法

import numpy as np
data_list = np.asarray([1.1, 2.2, 0, np.nan, 3.3])
print(data_list)
a = data_list[np.where(data_list != np.nan)]
print(a)

运行结果如下

1 2	[1.1 2.2 0. nan 3.3] [1.1 2.2 0. nan 3.3]

# 正确的方法

原理1：利用 np.isnan()

原理2：利用 np.nan != np.nan

import numpy as np
data_list = np.asarray([1.1, 2.2, 0, np.nan, 3.3])
print(data_list)

# solution: using np.isnan()
print("\nthis is solution by np.isnan()")
print(np.isnan(data_list))
a = data_list[np.where(np.isnan(data_list) == False)]
print(a)


# solution 1, using np.nan != np.nan
print("\nthis is solution by np.nan != np.nan")
a = data_list[np.where(data_list == data_list)]
print(a)

输出为：

[1.1 2.2 0.  nan 3.3]

this is solution by np.isnan()
[False False False  True False]
[1.1 2.2 0.  3.3]

this is solution by np.nan != np.nan
[1.1 2.2 0.  3.3]