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NumPy | startswith method

NumPy
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Char
schedule Jul 1, 2022
Last updated
local_offer PythonNumPy
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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. prefixlink | array-like

The starting substring you want to check for.

3. startlink | int | optional

The starting index to begin our check (inclusive).

4. endlink | 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".

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Published by Isshin Inada
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