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# NumPy | index method

schedule Aug 12, 2023
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Numpy's `index(~)` method returns the index of the first occurrence of the given substring.

NOTE

Difference between `index(~)` and `find(~)`

The `index(~)` method does the exact same thing as the `find(~)` method, but the difference is that `index(~)` returns a ValueError whereas `find(~)` method returns -1 if the substring is not found.

# Parameters

1. `a` | `array-like`

The input array of strings.

2. `sub`link | `string`

The substring to search 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 sub

``` np.char.index(["abcbc"], ["bc"]) array([1]) ```

## Specifying start

``` np.char.index(["abcde"], ["ab"], start=1) ValueError ```

Here, we are starting at index 1, which means that we're checking against the string `"bcde"`, which does not contain the substring `"ab"`.

## Specifying end

``` np.char.index(["abcde"], ["de"], end=2) ValueError ```

Here, we are ending at index 2, which means that we're checking against the string `"ab"`, which does not contain the substring `"de"`.

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