Numpy recarray.fill () function | python

NumPy | Python Methods and Functions

numpy.recarray.fill() fills the array of records 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:

# Python program explaining
# numpy.recarray.fill () method

 
# import numy as a geek

import numpy as geek

 
# create an input array with two different fields

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 an array of posts,
# 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)

  
# using recarray.fill methods
# float array of records

rec_arr.a.fill ( 5 )

print ( "Output filled array:" , rec_arr.a) 

 
# applying methods recarray.fill
# to array of int records

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 using numpy. recarray.fill () to the entire array of records.

# Python program explaining
# numpy.recarray.fill () method

  
# import numy as geek

import numpy as geek

 
# create an input array with two different fields

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 an array of posts,
# using arr.view (np.recarray)

rec_arr = in_arr.view (geek.recarray)

 
# using recarray.fill methods to write an array

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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