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NumPy | startswith method
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schedule Mar 10, 2022
Last updated Python●NumPy
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expand_more Numpy's startswith(~) method checks whether each string in the input array begins with the specified substring.
Parameters
1. a | array-like
The input string.
2. prefix | array-like
The starting substring you want to check for.
3. start | int | optional
The starting index to begin our check (inclusive).
4. end | int | optional
The index to end to check until (inclusive).
Return value
If a is a scalar, then a single boolean is returned. Otherwise, a Numpy array of booleans is returned.
Examples
Specifying prefix
np.char.startswith(["abcde"], ["ab"])
array([ True])
Specifying start
np.char.startswith(["abcde"], ["ab"], start=1)
array([False])
Here, we are starting at index 1, which means that we're checking against the string "bcde", which does not begin with "ab".
Specifying end
np.char.startswith(["abcde"], ["abc"], end=2)
array([False])
Here, we are ending at index 2, which means that we're checking against the string "ab", which does not begin with "abc".
Published by Isshin Inada
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Official NumPy Documentation
https://numpy.org/doc/stable/reference/generated/numpy.char.startswith.html
