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.
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
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