`numpy:fromstring`

Signature

built-in

  fromstring (    string    ,    dtype    =  <class 'float'>   ,    count    =  -1   ,  * ,     sep    ,    like    =  None     )

A new 1-D array initialized from text data in a string.

string : str: A string containing the data.
dtype : data-type, optional: The data type of the array; default: numpy.float64. For binary input data, the data must be in exactly this format. Most builtin numeric types are supported and extension types may be supported.
count : int, optional: Read this number of dtype elements from the data. 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; extra whitespace between elements is also ignored.
deprecated 1.14
Passing sep='', the default, is deprecated since it will trigger the deprecated binary mode of this function. This mode interprets string as binary bytes, rather than ASCII text with decimal numbers, an operation which is better spelt frombuffer(string, dtype, count). If string contains unicode text, the binary mode of fromstring will first encode it into bytes using utf-8, which will not produce sane results.
like : array_like, optional: Reference object to allow the creation of arrays which are not NumPy arrays. If an array-like passed in as like supports the __array_function__ protocol, the result will be defined by it. In this case, it ensures the creation of an array object compatible with that passed in via this argument.
versionadded 1.20.0

: ValueError: If the string is not the correct size to satisfy the requested dtype and count.

import numpy as np
np.fromstring('1 2', dtype=int, sep=' ')
np.fromstring('1, 2', dtype=int, sep=',')

✓