Numpy maskearray . maximum _ fill _ value()函数| Python
原文:https://www . geesforgeks . org/numpy-masked array-maximum _ fill _ value-function-python/
numpy.MaskedArray.maximum_fill_value() 函数用于返回一个对象的数据类型所能表示的最小值。
语法:
numpy.ma.maximum_fill_value(obj)参数: 对象:【n 数组、数据类型或标量】返回最小填充值的数组数据类型或标量。
返回:【标量】最小填充值。
代码#1 :
# Python program explaining
# numpy.MaskedArray.maximum_fill_value() method
# importing numpy as geek
# and numpy.ma module as ma
import numpy as geek
import numpy.ma as ma
# creating input array
in_arr = geek.array([1, 3, 5, -3], dtype ='float')
print ("Input array : ", in_arr)
# Now we are creating a masked array.
# by making entry as invalid.
mask_arr = ma.masked_array(in_arr, mask =[1, 0, 0, 0])
print ("Masked array : ", mask_arr)
# applying MaskedArray.maximum_fill_value
# methods to masked array
out_val = ma.maximum_fill_value(mask_arr)
print ("Minimum filled value : ", out_val)
Output:
Input array : [ 1\. 3\. 5\. -3.]
Masked array : [-- 3.0 5.0 -3.0]
Minimum filled value : -inf
代码#2 :
# Python program explaining
# numpy.MaskedArray.maximum_fill_value() method
# importing numpy as geek
# and numpy.ma module as ma
import numpy as geek
import numpy.ma as ma
# creating input array
in_arr = geek.array([[1, 2], [ 3, -1], [ 5, -3]])
print ("Input array : ", in_arr)
# Now we are creating a masked array.
# by making entry as invalid.
mask_arr = ma.masked_array(in_arr, mask =[[1, 0], [ 1, 0], [ 0, 0]])
print ("Masked array : ", mask_arr)
# applying MaskedArray.maximum_fill_value
# methods to masked array
out_val = ma.maximum_fill_value(mask_arr)
print ("Minimum filled value : ", out_val)
Output:
Input array : [[ 1 2]
[ 3 -1]
[ 5 -3]]
Masked array : [[-- 2]
[-- -1]
[5 -3]]
Minimum filled value : -2147483648
