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NumPy: startswith() function

numpy.core.defchararray.startswith() function

The numpy.core.defchararray.startswith() function returns a boolean array which is True where the string element in a starts with prefix, otherwise False.
Calls str.startswith element-wise.

Syntax:

numpy.core.defchararray.startswith(a, prefix, start=0, end=None)

Parameter:

Name Description Required /
Optional
a: array_like of str or unicode Input an array_like of string or unicode. Required
prefix: str Input string or unicode Required
start, end: int With optional start, test beginning at that position. With optional end, stop comparing at that position. Optional

Return value:

out : ndarray - Array of booleans.

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.startswith() function

>>> import numpy as np
>>> x = np.char.startswith('dishonoest man', 'dis', start=0, end=None)
>>> x
array(True)

Pictorial Presentation:

NumPy String operation: startswith() function

Example-2: numpy.startswith() function

>>> import numpy as np
>>> y = np.char.startswith('honoest man', 'prefix', start=0, end=None)
>>> y
array(False)

Pictorial Presentation:

NumPy String operation: startswith() function

Python - NumPy Code Editor:

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