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# pandas.stats.moments.expanding_quantile

`pandas.stats.moments.``expanding_quantile`(arg, quantile, min_periods=1, freq=None, center=False)

  Expanding quantile.

  Parameters : | arg : Series, DataFrame quantile : float 0 <= quantile <= 1 min_periods : int, default None Minimum number of observations in window required to have a value (otherwise result is NA). freq : string or DateOffset object, optional (default None) Frequency to conform the data to before computing the statistic. Specified as a frequency string or DateOffset object. center : boolean, default False Whether the label should correspond with center of window.
  Returns : | y : type of input argument

  Notes

  The freq keyword is used to conform time series data to a specified frequency by resampling the data. This is done with the default parameters of `resample()` (i.e. using the mean).

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