pandas.Index.is_floating#

final Index.is_floating()[source]#

Check if the Index is a floating type.

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.

is_integer

Check if the Index only consists of integers.

is_numeric

Check if the Index only consists of numeric data.

is_object

Check if the Index is of the object dtype.

is_categorical

Check if the Index holds categorical data.

is_interval

Check if the Index holds Interval objects.

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