numpy.MaskedArray.minimum_fill_value()函数用于返回可以由对象的dtype表示的最大值。
用法: numpy.ma.minimum_fill_value(obj)
参数:
obj :[ndarray,dtype或标量]返回最大填充值的数组数据类型或标量。
Return :[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
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注:本文由纯净天空筛选整理自jana_sayantan大神的英文原创作品 Numpy MaskedArray.minimum_fill_value() function | Python。非经特殊声明,原始代码版权归原作者所有,本译文未经允许或授权,请勿转载或复制。