numpy.fromstring#

numpy.fromstring(string, dtype=np.float64, 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: 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.

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 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.

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

frombuffer, fromfile, fromiter

Examples

Try it in your browser!

>>> import numpy as np
>>> np.fromstring('1 2', dtype=np.int_, sep=' ')
array([1, 2])
>>> np.fromstring('1, 2', dtype=np.int_, sep=',')
array([1, 2])

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