def train(cls, new_data, old=None):
        """
        Train a continuous scale

        Parameters
        ----------
        new_data : array_like
            New values
        old : array_like
            Old range. Most likely a tuple of length 2.

        Returns
        -------
        out : tuple
            Limits(range) of the scale
        """
        if not len(new_data):
            return old

        if not hasattr(new_data, 'dtype'):
            new_data = np.asarray(new_data)

        if new_data.dtype.kind not in CONTINUOUS_KINDS:
            raise TypeError(
                "Discrete value supplied to continuous scale")

        if old is not None:
            new_data = np.hstack([new_data, old])

        return min_max(new_data, na_rm=True, finite=True)
def train(cls, new_data, old=None):
        """
        Train a continuous scale

        Parameters
        ----------
        new_data : array_like
            New values
        old : array_like
            Old range. Most likely a tuple of length 2.

        Returns
        -------
        out : tuple
            Limits(range) of the scale
        """
        if not len(new_data):
            return old

        if not hasattr(new_data, 'dtype'):
            new_data = np.asarray(new_data)

        if new_data.dtype.kind not in CONTINUOUS_KINDS:
            raise TypeError(
                "Discrete value supplied to continuous scale")

        if old is not None:
            new_data = np.hstack([new_data, old])

        return min_max(new_data, na_rm=True, finite=True)
def train ( cls , new_data , old = None ) : if not len ( new_data ) : return old if not hasattr ( new_data , 'dtype' ) : new_data = np . asarray ( new_data ) if new_data . dtype . kind not in CONTINUOUS_KINDS : raise TypeError ( "Discrete value supplied to continuous scale" ) if old is not None : new_data = np . hstack ( [ new_data , old ] ) return min_max ( new_data , na_rm = True , finite = True )
Train a continuous scale

        Parameters
        ----------
        new_data : array_like
            New values
        old : array_like
            Old range. Most likely a tuple of length 2.

        Returns
        -------
        out : tuple
            Limits(range) of the scale
Train a continuous scale