NumPy: join() function
numpy.core.defchararray.join()function
The numpy.core.defchararray.join() function returns a string which is the concatenation of the strings in the sequence seq.
Version: 1.15.0
Syntax:
numpy.core.defchararray.join(sep, seq)
Parameter:
Name | Description | Required / Optional |
---|---|---|
sep: array_like of str or unicode | Required | |
seq: array_like of str or unicode | Required |
Return value:
out : ndarray - Output array of str or unicode, depending on input types
Note:
The 'chararray' class exists for backwards compatibility with Numarray, it is not recommended for new development. Starting from numpy 1.4, if one needs arrays of strings, it is recommended to use arrays of 'dtype' 'object_', 'string_' or 'unicode_', and use the free functions in the 'numpy.char' module for fast vectorized string operations.
Some methods will only be available if the corresponding string method is available in your version of Python.
The preferred alias for 'defchararray' is 'numpy.char'.
Example-1: numpy.join() function
>>> import numpy as np
>>> x = np.char.join(':', 'ABC')
>>> x
array('A:B:C', dtype='<U5')
Pictorial Presentation:
Example-2: numpy.join() function
>>> import numpy as np
>>> x = np.char.join([':','*'],['ABC', 'XYZ'])
>>> x
array(['A:B:C', 'X*Y*Z'], dtype='<U5')
Pictorial Presentation:
Python - NumPy Code Editor:
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