pandas.Index.is_floating   finalIndex.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.  is_mixed

Check if the Index holds data with mixed data types.    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