packages/vaex-core/vaex/dataframe.py
def median_approx(self, expression, percentage=50., binby=[], limits=None, shape=default_shape, percentile_shape=256, percentile_limits="minmax", selection=False, delay=False):
        """Calculate the median , possibly on a grid defined by binby.

        NOTE: this value is approximated by calculating the cumulative distribution on a grid defined by
        percentile_shape and percentile_limits


        :param expression: {expression}
        :param binby: {binby}
        :param limits: {limits}
        :param shape: {shape}
        :param percentile_limits: {percentile_limits}
        :param percentile_shape: {percentile_shape}
        :param selection: {selection}
        :param delay: {delay}
        :return: {return_stat_scalar}
        """
        return self.percentile_approx(expression, 50, binby=binby, limits=limits, shape=shape, percentile_shape=percentile_shape, percentile_limits=percentile_limits, selection=selection, delay=delay)
def median_approx(self, expression, percentage=50., binby=[], limits=None, shape=default_shape, percentile_shape=256, percentile_limits="minmax", selection=False, delay=False):
        """Calculate the median , possibly on a grid defined by binby.

        NOTE: this value is approximated by calculating the cumulative distribution on a grid defined by
        percentile_shape and percentile_limits


        :param expression: {expression}
        :param binby: {binby}
        :param limits: {limits}
        :param shape: {shape}
        :param percentile_limits: {percentile_limits}
        :param percentile_shape: {percentile_shape}
        :param selection: {selection}
        :param delay: {delay}
        :return: {return_stat_scalar}
        """
        return self.percentile_approx(expression, 50, binby=binby, limits=limits, shape=shape, percentile_shape=percentile_shape, percentile_limits=percentile_limits, selection=selection, delay=delay)
Calculate the median , possibly on a grid defined by binby.

        NOTE: this value is approximated by calculating the cumulative distribution on a grid defined by
        percentile_shape and percentile_limits


        :param expression: {expression}
        :param binby: {binby}
        :param limits: {limits}
        :param shape: {shape}
        :param percentile_limits: {percentile_limits}
        :param percentile_shape: {percentile_shape}
        :param selection: {selection}
        :param delay: {delay}
        :return: {return_stat_scalar}