pandas.Index.is_floating#

finalIndex.is_floating()[source]#

Check if the Index is a floating type.

Deprecated since version 2.0.0:Usepandas.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, ora 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