pandas.Index.is_floating#

final Index.is_floating()[source]#

Check if the Index is a floating type.

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

The Index may consist of only floats, NaNs, or a mix of floats, integers, or NaNs.

Returns:

bool: Whether or not the Index only consists of only consists of floats, NaNs, or a mix of floats, integers, or NaNs.

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_numeric: Check if the Index only consists of numeric data (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_floating()  
True

>>> idx = pd.Index([1.0, 2.0, np.nan, 4.0])
>>> idx.is_floating()  
True

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

>>> idx = pd.Index([1, 2, 3, 4])
>>> idx.is_floating()  
False