Python中的numpy.floor_divide()详细介绍

numpy.floor_divide(arr1, arr2, /, out =None, 其中=true, cast ='同种‘, order =‘ķ‘, dtype = None)：

将第一个数组中的数组元素除以第二个数组中的元素(所有操作均按元素进行)。 arr1和arr2都必须具有相同的形状。

它等效于Python

//运算子

并与Python配对

%

(剩余), 以使

b = a％b + b *(a // b)

直到四舍五入。

参数：

arr1     : [array_like]Input array or object which works as numerator.

arr2     : [array_like]Input array or object which works as denominator. 

out      : [ndarray, None, optional]Output array with same dimensions as
           Input array, placed with result.

**kwargs : Allows you to pass keyword variable length of argument to a function. 
            It is used when we want to handle named argument in a function.

where    : [array_like, optional]True value means to calculate the universal 
            functions(ufunc) at that position, False value means to leave the 
            value in the output alone.

返回：

An array with floor(x1 / x2)

代码1：arr1除以arr2

# Python program explaining
# floor_divide() function
import numpy as np
  
# input_array
arr1 = [ 2 , 2 , 2 , 2 , 2 ]
arr2 = [ 2 , 3 , 4 , 5 , 6 ]
print ( "arr1         : " , arr1)
print ( "arr1         : " , arr2)
  
# output_array
out = np.floor_divide(arr1, arr2)
print ( "\nOutput array : " , out)

输出：

arr1         :  [2, 2, 2, 2, 2]
arr1         :  [2, 3, 4, 5, 6]

Output array :  [1 0 0 0 0]

代码2：arr1的元素除以除数

# Python program explaining
# floor_divide() function
import numpy as np
  
# input_array
arr1 = [ 2 , 7 , 3 , 11 , 4 ]
divisor = 3
print ( "arr1         : " , arr1)
  
# output_array
out = np.floor_divide(arr1, divisor)
print ( "\nOutput array : " , out)

输出：

arr1         :  [2, 7, 3, 11, 4]

Output array :  [0 2 1 3 1]

代码3：如果arr2具有-ve元素, 则floor_divide的处理结果

# Python program explaining
# floor_divide() function
import numpy as np
  
# input_array
arr1 = [ 2 , 6 , 21 , 21 , 12 ]
arr2 = [ 2 , 3 , 4 , - 3 , 6 ]
print ( "arr1         : " , arr1)
print ( "arr2         : " , arr2)
  
# output_array
out = np.floor_divide(arr1, arr2)
print ( "\nOutput array : " , out)

输出：

arr1         :  [2, 6, 21, 21, 12]
arr2         :  [2, 3, 4, -3, 6]

Output array :  [ 1  2  5 -7  2]

参考文献：

https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.floor_divide.html

.

注意怪胎！巩固你的基础Python编程基础课程和学习基础知识。

首先, 你的面试准备可通过以下方式增强你的数据结构概念：Python DS课程。

---