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# NumPy | isnumeric method

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Python
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NumPy
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Char
schedule Mar 10, 2022
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Numpy's `isnumeric(~)` method checks whether each string of the input array is numeric. Unlike the methods `isdigit(~)` and `isdecimal(~)`, `isnumeric(~)` also extends to other languages.

WARNING

Numbers with dots do not qualify as numeric

For instance, `"2"` qualifies as a digit, but `"2.5"` with a dot does not.

# Parameters

1. `a` | `array-like`

The input array.

# Return value

If `a` is a scalar, then a single boolean is returned. Otherwise, a Numpy array of booleans is returned.

# Examples

``` np.char.isnumeric(["2.5", "", "3", "0", "五"]) array([False, False, True, True, True]) ```

Here, note the following:

• `"2.5"`, which does represent a number, returned False.

• `"五"`, which means a 5 in Chinese/Japanese, returned True.

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