pandas.Index.is_floating

finalIndex.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