numpy.fromstring#
- numpy.fromstring(string, dtype=float, count=-1, *, sep, like=None)#
A new 1-D array initialized from text data in a string.
- Parameters:
- stringstr
A string containing the data.
- dtypedata-type, optional
The data type of the array; default: float. For binary input data, the data must be in exactly this format. Most builtin numeric types are supported and extension types may be supported.
New in version 1.18.0: Complex dtypes.
- countint, 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.- sepstr, optional
The 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 interpretsstring
as binary bytes, rather than ASCII text with decimal numbers, an operation which is better speltfrombuffer(string, dtype, count)
. Ifstring
contains unicode text, the binary mode offromstring
will first encode it into bytes using utf-8, which will not produce sane results.- likearray_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.New in version 1.20.0.
- Returns:
- arrndarray
The constructed array.
- Raises:
- ValueError
If the string is not the correct size to satisfy the requested
dtype
and count.
See also
Examples
>>> np.fromstring('1 2', dtype=int, sep=' ') array([1, 2]) >>> np.fromstring('1, 2', dtype=int, sep=',') array([1, 2])