numpy.MaskedArray.default_fill_value()函數用於返回參數對象的默認填充值。默認填充值取決於輸入數組的數據類型或輸入標量的類型。如果數據類型為bool,則默認填充值為True,對於int,它是999999,對於浮點數是1.e20,對於複雜,它是1.e20 + 0.j,對於對象來說是'?',對於字符串來說是'N /A'。
用法: numpy.ma.default_fill_value(obj)
參數:
obj :[ndarray,dtype或標量]返回其默認填充值的數組數據類型或標量。
Return :[標量]默認填充值。
代碼1:
# Python program explaining
# numpy.MaskedArray.default_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.default_fill_value
# methods to masked array
out_val = ma.default_fill_value(mask_arr)
print ("Default filled value:", out_val)
輸出:
Input array: [[ 1 2] [ 3 -1] [ 5 -3]] Masked array: [[-- 2] [-- -1] [5 -3]] Default filled value: 999999
代碼2:
# Python program explaining
# numpy.MaskedArray.default_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 + 2j, 2 + 3j],
[ 3-2j, -1 + 2j],
[ 5-4j, -3-3j]])
print ("Input array:", in_arr)
# Now we are creating a masked array.
# by making two entry as invalid.
mask_arr = ma.masked_array(in_arr,
mask =[[1, 0], [ 1, 0], [ 0, 0]])
print ("Masked array:", mask_arr)
# applying MaskedArray.default_fill_value
# methods to masked array
out_val = ma.default_fill_value(mask_arr)
print ("Default filled value:", out_val)
輸出:
Input array: [[ 1.+2.j 2.+3.j] [ 3.-2.j -1.+2.j] [ 5.-4.j -3.-3.j]] Masked array: [[-- (2+3j)] [-- (-1+2j)] [(5-4j) (-3-3j)]] Default filled value: (1e+20+0j)
相關用法
- Python numpy.cov()用法及代碼示例
- Python numpy.copyto()用法及代碼示例
- Python Numpy MaskedArray.any()用法及代碼示例
- Python Numpy MaskedArray.var()用法及代碼示例
- Python Numpy MaskedArray.sum()用法及代碼示例
- Python numpy.issubsctype()用法及代碼示例
- Python Numpy MaskedArray.std()用法及代碼示例
- Python Numpy MaskedArray.mean()用法及代碼示例
- Python Numpy recarray.put()用法及代碼示例
- Python Numpy recarray.ptp()用法及代碼示例
- Python Numpy MaskedArray.all()用法及代碼示例
- Python Numpy MaskedArray.dot()用法及代碼示例
- Python Numpy recarray.all()用法及代碼示例
注:本文由純淨天空篩選整理自jana_sayantan大神的英文原創作品 Numpy MaskedArray.default_fill_value() function | Python。非經特殊聲明,原始代碼版權歸原作者所有,本譯文未經允許或授權,請勿轉載或複製。