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pandas.Index.is_numeric — pandas 2.3.1 documentation

final Index.is_numeric()[source]#

Check if the Index only consists of numeric data.

Deprecated since version 2.0.0: Use pandas.api.types.is_numeric_dtype instead.

Returns:

bool

Whether or not the Index only consists of numeric data.

See also

is_boolean

Check if the Index only consists of booleans (deprecated).

is_integer

Check if the Index only consists of integers (deprecated).

is_floating

Check if the Index is a floating type (deprecated).

is_object

Check if the Index is of the object dtype. (deprecated).

is_categorical

Check if the Index holds categorical data (deprecated).

is_interval

Check if the Index holds Interval objects (deprecated).

Examples

>>> idx = pd.Index([1.0, 2.0, 3.0, 4.0])
>>> idx.is_numeric()  
True

>>> idx = pd.Index([1, 2, 3, 4.0])
>>> idx.is_numeric()  
True

>>> idx = pd.Index([1, 2, 3, 4])
>>> idx.is_numeric()  
True

>>> idx = pd.Index([1, 2, 3, 4.0, np.nan])
>>> idx.is_numeric()  
True

>>> idx = pd.Index([1, 2, 3, 4.0, np.nan, "Apple"])
>>> idx.is_numeric()  
False

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