numpy recarray.fill()函数| Python
在 numpy 中,数组可能具有包含字段的数据类型,类似于电子表格中的列。一个例子是[(a, int), (b, float)]
,其中数组中的每个条目都是一对 (int, float)。通常,使用诸如arr['a'] and arr['b']
类的字典查找来访问这些属性。记录数组允许使用arr.a and arr.b
作为数组成员访问字段。
numpy.recarray.fill()
函数用标量值填充记录数组。
Syntax : numpy.recarray.fill(value)
Parameters:
value : [scalar] All elements of array will be assigned this value.
Return : Output array filled with value.
代码#1:
# Python program explaining
# numpy.recarray.fill() method
# importing numpy as geek
import numpy as geek
# creating input array with 2 different field
in_arr = geek.array([(5.0, 2), (3.0, -4), (6.0, 9),],
dtype =[('a', float), ('b', int)])
print ("Input array : ", in_arr)
# convert it to a record array,
# using arr.view(np.recarray)
rec_arr = in_arr.view(geek.recarray)
print("Record array of float: ", rec_arr.a)
print("Record array of int: ", rec_arr.b)
# applying recarray.fill methods
# to float record array
rec_arr.a.fill(5)
print ("Output filled array : ", rec_arr.a)
# applying recarray.fill methods
# to int record array
rec_arr.b.fill(0)
print ("Output filled array : ", rec_arr.b)
输出:
Input array : [(5., 2) (3., -4) (6., 9)]
Record array of float: [5. 3. 6.]
Record array of int: [ 2 -4 9]
Output filled array : [5. 5. 5.]
Output filled array : [0 0 0]
代码#2:
我们将numpy.recarray.fill()
应用于整个记录数组。
# Python program explaining
# numpy.recarray.fill() method
# importing numpy as geek
import numpy as geek
# creating input array with 2 different field
in_arr = geek.array([[(5.0, 2), (3.0, 4), (6.0, -7)],
[(9.0, 1), (6.0, 4), (-2.0, -7)]],
dtype =[('a', float), ('b', int)])
print ("Input array : ", in_arr)
# convert it to a record array,
# using arr.view(np.recarray)
rec_arr = in_arr.view(geek.recarray)
# applying recarray.fill methods to record array
rec_arr.fill(0)
print ("Output filled array : ", rec_arr)
输出:
Input array : [[( 5., 2) ( 3., 4) ( 6., -7)]
[( 9., 1) ( 6., 4) (-2., -7)]]
Output filled array : [[(0., 0) (0., 0) (0., 0)]
[(0., 0) (0., 0) (0., 0)]]