Numpy recarray.fill() function | Python
Last Updated :
27 Sep, 2019
In numpy, arrays may have a data-types containing fields, analogous to columns in a spreadsheet. An example is [(a, int), (b, float)]
, where each entry in the array is a pair of (int, float). Normally, these attributes are accessed using dictionary lookups such as arr['a'] and arr['b']
. Record arrays allow the fields to be accessed as members of the array, using arr.a and arr.b
.
numpy.recarray.fill()
function fill the record array with a scalar value.
Syntax : numpy.recarray.fill(value)
Parameters:
value : [scalar] All elements of array will be assigned this value.
Return : Output array filled with value.
Code #1 :
import numpy as geek
in_arr = geek.array([( 5.0 , 2 ), ( 3.0 , - 4 ), ( 6.0 , 9 ),],
dtype = [( 'a' , float ), ( 'b' , int )])
print ( "Input array : " , in_arr)
rec_arr = in_arr.view(geek.recarray)
print ( "Record array of float: " , rec_arr.a)
print ( "Record array of int: " , rec_arr.b)
rec_arr.a.fill( 5 )
print ( "Output filled array : " , rec_arr.a)
rec_arr.b.fill( 0 )
print ( "Output filled array : " , rec_arr.b)
|
Output:
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]
Code #2 :
We are applying numpy.recarray.fill()
to whole record array.
import numpy as geek
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)
rec_arr = in_arr.view(geek.recarray)
rec_arr.fill( 0 )
print ( "Output filled array : " , rec_arr)
|
Output:
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)]]
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