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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
Edited by 0 others
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Official NumPy Documentation
https://numpy.org/doc/stable/reference/generated/numpy.char.startswith.html