numpy.fromstring() function – Python
Last Updated :
18 Aug, 2020
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numpy.fromstring() function create a new one-dimensional array initialized from text data in a string.
Syntax : numpy.fromstring(string, dtype = float, count = -1, sep = ‘ ‘)
Parameters :
string : [str] A string that contained the data.
dtype : [data-type, optional] Data-type of the array. Default data type is float.
count : [int, optional] Number of items to read. If this is negative (the default), the count will be determined from the length of the data.
sep : [str, optional] The string separating numbers in the data.
Return : [ndarray] Return the constructed array.
Code #1 :
- Python3
Python3
# Python program explaining # numpy.fromstring() function # importing numpy as geek import numpy as geek gfg = geek.fromstring('1 2 3 4 5', dtype = float, sep = ' ') print(gfg) |
Output :
[1. 2. 3. 4. 5.]
Code #2 :
- Python3
Python3
# Python program explaining # numpy.fromstring() function # importing numpy as geek import numpy as geek gfg = geek.fromstring('1 2 3 4 5 6', dtype = int, sep = ' ') print(gfg) |
Output :
[1 2 3 4 5 6]
