Lines Matching refs:series
50 def select_window(series, window):
52 pandas time series
54 :param series: Input Time Series data
55 :type series: :mod:`pandas.Series`
62 return series
65 ix = series.index
67 window_series = series[selector]
70 def area_under_curve(series, sign=None, method="trapz", step="post"):
71 """Return the area under the time series curve (Integral)
73 :param series: The time series to be integrated
74 :type series: :mod:`pandas.Series`
95 Consider the following time series data
110 s = pd.Series(a)
134 s = pd.Series(a)
145 series = series.clip_lower(0)
147 series = series.clip_upper(0)
149 series = series.dropna()
154 values = series.values[:-1]
156 values = series.values[1:]
160 return float((values * np.diff(series.index)).sum())
164 return np_integ_method(series.values, series.index)
168 def interval_sum(series, value=None, step="post"):
170 intervals where the value of series is equal to
172 series data:
203 series = pandas.Series(values, index=index)
238 series data and these do not vary between the two step styles
240 :param series: The time series data
241 :type series: :mod:`pandas.Series`
243 :param value: The value to checked for in the series. If the
245 series will be used
256 index = series.index
257 array = series.values
272 first_val = series.iloc[split]
279 end = split + 1 if split < len(series) - 1 else split
