Question

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这是我的代码，如果import numpy as np import sklearn import sklearn.datasets from sklearn import svm x = np.array([1,3,67,8]) print(x) print(type(x)) if type(x) != int: y = x.astype(int) print(y) print(type(y)) else: print ("X is already an integer")不是整数然后将其转换为整数，则将其打印为整数但奇怪的是即使x是if，x语句中的代码也会执行整数或浮点数。

Answer 1

我相信这就是你要找的东西。要检查值是否为整数（即使在float数组中），您可以测试x == int(x)。

import numpy as np 

arr = np.array([1, 3, 67, 8, 7.5])

print(arr, type(arr))

for x in arr:
    if x != int(x):
        y = x.astype(int)
        print(y, type(y))
    else:
        print(str(int(x)) + ' is already an integer')

# [  1.    3.   67.    8.    7.5] <class 'numpy.ndarray'>
# 1 is already an integer
# 3 is already an integer
# 67 is already an integer
# 8 is already an integer
# 7 <class 'numpy.int32'>

If-Else语句在Python中很奇怪

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