Python |从浮点数数组中过滤出整数
原文:https://www . geesforgeks . org/python-filter-out-整数-from-float-numpy-array/
给定一个 numpy 数组，任务是从包含浮点数和整数的数组中过滤出整数。让我们看看解决给定任务的几种方法。 方法#1:使用 a 型(int)
蟒蛇 3
# Python code to demonstrate
# filtering integers from numpy array
# containing integers and float
import numpy as np
# initialising array
ini_array = np.array([1.0, 1.2, 2.2, 2.0, 3.0, 2.0])
# printing initial array
print ("initial array : ", str(ini_array))
# filtering integers
result = ini_array[ini_array != ini_array.astype(int)]
# printing resultant
print ("final array", result)
Output:
initial array : [ 1\. 1.2 2.2 2\. 3\. 2\. ]
final array [ 1.2 2.2]
方法 2:使用 np.equal()和 np.mod()
蟒蛇 3
# Python code to demonstrate
# filtering integers from numpy array
# containing integers and float
import numpy as np
# initialising array
ini_array = np.array([1.0, 1.2, 2.2, 2.0, 3.0, 2.0])
# printing initial array
print ("initial array : ", str(ini_array))
# filtering integers
result = ini_array[~np.equal(np.mod(ini_array, 1), 0)]
# printing resultant
print ("final array : ", str(result))
Output:
initial array : [ 1\. 1.2 2.2 2\. 3\. 2\. ]
final array : [ 1.2 2.2]
方法三:使用
蟒蛇 3
# Python code to demonstrate
# filtering integers from numpy array
# containing integers and float
import numpy as np
# initialising array
ini_array = np.array([1.0, 1.2, 2.2, 2.0, 3.0, 2.0])
# printing initial array
print ("initial array : ", str(ini_array))
# filtering integers
mask = np.isclose(ini_array, ini_array.astype(int))
result = ini_array[~mask]
# printing resultant
print ("final array : ", str(result))
Output:
initial array : [ 1\. 1.2 2.2 2\. 3\. 2\. ]
final array : [ 1.2 2.2]
