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89 def SUM(Series, N): 90 return pd.Series.rolling(Series, N).sum()
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54 def sum(self): 55 def sum(scol): 56 return F.when( 57 F.row_number().over(self._unbounded_window) >= self._min_periods, 58 F.sum(scol).over(self._window) 59 ).otherwise(F.lit(None)) 60 61 return self._apply_as_series_or_frame(sum)
103 def SUM(df, n, price='Close'): 104 """ 105 Summation 106 """ 107 sum_list = [] 108 i = 0 109 while i < len(df[price]): 110 if i + 1 < n: 111 SUM = float('NaN') 112 else: 113 start = i + 1 - n 114 end = i + 1 115 SUM = sum(df[price][start:end]) 116 sum_list.append(SUM) 117 i += 1 118 return sum_list