Classe « Index »

Méthode pandas.Index.is_floating

Signature de la méthode is_floating

def is_floating(self) -> bool 

Description

is_floating.__doc__

        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