NumPy Input and Output: fromstring() function
numpy.fromstring() function
The fromstring() function is used to get a new 1-D array initialized from raw binary or text data in a string.
Syntax:
numpy.fromstring(string, dtype=float, count=-1, sep='')
Version: 1.15.0
Parameter:
| Name | Description | Required / Optional |
|---|---|---|
| string | A string containing the data. str |
Required |
| dtype | The data type of the array; default: float. For binary input data, the data must be in exactly this format. data-type |
Optional |
| count | 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. int |
Optional |
| sep | If not provided or, equivalently, the empty string, the data will be interpreted as binary data; otherwise, as ASCII text with decimal numbers. Also in this latter case, this argument is interpreted as the string separating numbers in the data; extra whitespace between elements is also ignored. str |
Optional |
Returns: arr : ndarray
The constructed array.
Raises:
ValueError: If the string is not the correct size to satisfy the requested dtype and count.
NumPy.fromstring() method Example-1:
>>> import numpy as np
>>> np.fromstring('2 4', dtype=int, sep=' ')
Output:
array([2, 4])
NumPy.fromstring() method Example-2:
>>> import numpy as np
>>> np.fromstring('2, 4', dtype=int, sep=',')
Output:
array([2, 4])
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