parameters: (data, per, limit=(), alphap=.4, betap=.4)
return_statement: return mquantiles(data, prob=[per/100.], alphap=alphap, betap=betap,
                        limit=limit, axis=0).squeeze()
docstring: Calculate the score at the given 'per' percentile of the
      sequence a.  For example, the score at per=50 is the median.
  
      This function is a shortcut to mquantile
docstring_summary: Calculate the score at the given 'per' percentile of the
      sequence a.  For example, the score at per=50 is the median.
docstring_tokens: Calculate the score at the given per percentile of the sequence a . For example the score at per = 50 is the median .
function: def scoreatpercentile(data, per, limit=(), alphap=.4, betap=.4):
      """Calculate the score at the given 'per' percentile of the
      sequence a.  For example, the score at per=50 is the median.
  
      This function is a shortcut to mquantile
  
      """
      if (per < 0) or (per > 100.):
          raise ValueError("The percentile should be between 0. and 100. !"
                           " (got %s)" % per)
  
      return mquantiles(data, prob=[per/100.], alphap=alphap, betap=betap,
                        limit=limit, axis=0).squeeze()
function_tokens: def scoreatpercentile ( data , per , limit = ( ) , alphap = .4 , betap = .4 ) : if ( per < 0 ) or ( per > 100. ) : raise ValueError ( "The percentile should be between 0. and 100. !" " (got %s)" % per ) return mquantiles ( data , prob = [ per / 100. ] , alphap = alphap , betap = betap , limit = limit , axis = 0 ) . squeeze ( )