NumPy 数组——逻辑运算

逻辑运算用于查找两个数组或列表或变量之间的逻辑关系。我们可以使用 NumPy 在两个数据之间执行逻辑运算。以下是我们可以对 Numpy 数组执行的各种逻辑操作：

和

numpy 模块支持logical_and运算符。它用于关联两个变量。如果两个变量为 0，则输出为 0，如果两个变量为 1，则输出为 1，如果一个变量为 0，另一个为 1，则输出为 0。

句法：

numpy.logical_and(var1,var2)

Where, var1 and var2 are a single variable or a list/array.

Return type: Boolean value (True or False)

示例 1：

此代码演示了使用logical_and运算符的布尔运算。

Python3

# importing numpy module
import numpy as np
  
# list 1 represents an array with boolean values
list1 = [True, False, True, False]
  
# list 2 represents an array with boolean values
list2 = [True, True, False, True]
  
# logical operations between boolean values
print('Operation between two lists =  ',
      np.logical_and(list1, list2))

输出：

示例 2：

蟒蛇3

# importing numpy module
import numpy as np
  
# list 1 represents an array 
# with integer values
list1 = [1, 2, 3, 4, 5, 0]
  
# list 2 represents an array 
# with integer values
list2 = [0, 1, 2, 3, 4, 0]
  
# logical operations between integer values
print('Operation between two lists:', 
      np.logical_and(list1, list2))

输出：

或者

NumPy 模块支持logical_or运算符。它还用于关联两个变量。如果两个变量为 0，则输出为 0，如果两个变量为 1，则输出为 1，如果一个变量为 0，另一个为 1，则输出为 1。

句法：

numpy.logical_or(var1,var2)

Where, var1 and var2 are a single variable or a list/array.

Return type: Boolean value (True or False)

例子：

蟒蛇3

# importing numpy module
import numpy as np
  
# logical operations between boolean values
print('logical_or operation =  ', 
      np.logical_or(True, False))
  
a = 2
b = 6
print('logical or Operation between two variables =  ', 
      np.logical_or(a, b))
a = 0
b = 0
print('logical or Operation between two variables =  ', 
      np.logical_or(a, b))
  
  
# list 1 represents an array with integer values
list1 = [1, 2, 3, 4, 5, 0]
  
# list 2 represents an array with integer values
list2 = [0, 1, 2, 3, 4, 0]
  
# logical operations between integer values
print('Operation between two lists =  ', 
      np.logical_or(list1, list2))

输出：

不是

logical_not 操作采用一个值并将其转换为另一个值。如果值为 0，则输出为 1，如果值大于或等于 1，则输出为 0。

句法：

numpy.logical_not(var1)

Where, var1is a single variable or a list/array.

Return type: Boolean value (True or False)

例子：

蟒蛇3

# importing numpy module
import numpy as np
  
# logical  not operations for boolean value
print('logical_not operation =  ', 
      np.logical_not(True))
  
a = 2
b = 6
print('logical_not Operation  =  ', 
      np.logical_not(a))
print('logical_not Operation  =  ', 
      np.logical_not(b))
  
  
# list 1 represents an array with integer values
list1 = [1, 2, 3, 4, 5, 0]
  
# logical operations between integer values
print('Operation in list =  ', 
      np.logical_not(list1))

输出：

异或

logical_xor 在两个变量或列表之间执行异或运算。在此操作中，如果两个值相同，则返回 0，否则返回 1。

句法：

numpy.logical_xor(var1,var2)

Where, var1 and var2 are a single variable or a list/array.

Return type: Boolean value (True or False)

例子：

蟒蛇3

# importing numpy module
import numpy as np
  
# logical operations between boolean values
print('Operation between true and true ( 1 and 1) =  ', 
      np.logical_xor(True, True))
print('Operation between true and false ( 1 and 0) = ',
      np.logical_xor(True, False))
print('Operation between false and true ( 0 and 1) = ',
      np.logical_xor(False, True))
print('Operation between false and false (0 and 0)= ',
      np.logical_xor(False, False))
  
  
# list 1 represents an array with boolean values
list1 = [True, False, True, False]
  
# list 2 represents an array with boolean values
list2 = [True, True, False, True]
  
# logical operations between boolean values
print('Operation between two lists =  ', 
      np.logical_xor(list1, list2))
  
  
# list 1 represents an array 
# with integer values
list1 = [1, 2, 3, 4, 5, 0]
  
# list 2 represents an array 
# with integer values
list2 = [0, 1, 2, 3, 4, 0]
  
# logical operations between integer values
print('Operation between two lists =  ', 
      np.logical_xor(list1, list2))

输出：