numpy.array_str() in Python (original) (raw)

Last Updated : 29 Nov, 2018

**numpy.array_str()**function is used to represent the data of an array as a string.

The data in the array is returned as a single string. This function is similar to array_repr, the difference being that array_repr also returns information on the kind of array and its data type.

Syntax : numpy.array_str(arr, max_line_width=None, precision=None, suppress_small=None)

Parameters :
arr : [array_like] Input array.
max_line_width : [int, optional] Inserts newlines if text is longer than max_line_width. The default is, indirectly, 75.
precision : [int, optional] Floating point precision. Default is the current printing precision(generally 8).
suppress_small : [bool, optional] It represent very small numbers as zero, default is False. Very small number is defined by precision, if the precision is 8 then numbers smaller than 5e-9 are represented as zero.

Return : [str] The string representation of an array.

Code #1 : Working

import numpy as geek

arr = geek.array([ 4 , - 8 , 7 ])

print ( "Input array : " , arr)

print ( type (arr))

out_arr = geek.array_str(arr)

print ( "The string representation of input array : " , out_arr)

print ( type (out_arr))

Output :

Input array : [ 4 -8 7] class 'numpy.ndarray' The string representation of input array : array([ 4, -8, 7]) class 'str'

Code #2 : Working

import numpy as geek

in_arr = geek.array([ 5e - 8 , 4e - 7 , 8 , - 4 ])

print ( "Input array : " , in_arr)

print ( type (in_arr))

out_arr = geek.array_str(in_arr, precision = 6 , suppress_small = True )

print ( "The string representation of input array : " , out_arr)

print ( type (out_arr))

Output :

Input array : [ 5.00000000e-08 4.00000000e-07 8.00000000e+00 -4.00000000e+00] class 'numpy.ndarray' The string representation of input array : array([ 0., 0., 8., -4.]) class 'str'