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# NumPy | startswith method

NumPy
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Char
schedule Jul 1, 2022
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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. `prefix`link | `array-like`

The starting substring you want to check for.

3. `start`link | `int` | `optional`

The starting index to begin our check (inclusive).

4. `end`link | `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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