Python Numpy MaskedArray.minimum_fill_value()函数
numpy.MaskedArray.minimum_fill_value()函数用于返回一个对象的dtype所能代表的最大值。
语法: numpy.ma.minimum_fill_value(obj)
参数:
obj : [ ndarray, dtype or scalar ] 返回最大填充值的阵列数据类型或标量。
返回 : [ 标量 ] 最大填充值。
代码#1:
# Python program explaining
# numpy.MaskedArray.minimum_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.minimum_fill_value
# methods to masked array
out_val = ma.minimum_fill_value(mask_arr)
print ("Maximum filled value : ", out_val)
输出:
Input array : [ 1. 3. 5. -3.]
Masked array : [-- 3.0 5.0 -3.0]
Maximum filled value : inf
代码#2:
# Python program explaining
# numpy.MaskedArray.minimum_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]], dtype ='int')
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.minimum_fill_value
# methods to masked array
out_val = ma.minimum_fill_value(mask_arr)
print ("Maximum filled value : ", out_val)
输出:
Input array : [[ 1 2]
[ 3 -1]
[ 5 -3]]
Masked array : [[-- 2]
[-- -1]
[5 -3]]
Maximum filled value : 2147483647