numpy.fromstring(string, dtype=np.float64, count=-1, *, sep, like=None)
A new 1-D array initialized from text data in a string.
Parameters:stringstrA string containing the data.
dtypedata-type, optionalThe data type of the array; default:
. For binary input data, the data must be in exactly this format. Most builtin numeric types are supported and extension types may be supported.
countint, optionalRead this number of
elements from the data. If this is negative (the default), the count will be determined from the length of the data.
sepstr, optionalThe string separating numbers in the data; extra whitespace between elements is also ignored.
Deprecated since version 1.14: Passing sep='', the default, is deprecated since it will trigger the deprecated binary mode of this function. This mode interprets
as binary bytes, rather than ASCII text with decimal numbers, an operation which is better spelt frombuffer(string,dtype,count). If
contains unicode text, the binary mode of
will first encode it into bytes using utf-8, which will not produce sane results.
likearray_like, optionalReference 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.
Added in version 1.20.0.
Returns:arrndarrayThe constructed array.
Raises:ValueErrorIf the string is not the correct size to satisfy the requested
and count.
Examples
>>> importnumpyasnp>>> np.fromstring('1 2',dtype=np.int_,sep=' ')array([1, 2])>>> np.fromstring('1, 2',dtype=np.int_,sep=',')array([1, 2])