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Corrected date getting missed in transform

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This commit is contained in:
Gourav Kumar 2023-03-26 20:33:01 +05:30
parent 0bab00f455
commit 14afb1400a
1 changed files with 13 additions and 6 deletions
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19
pyfacts/pyfacts.py
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@ -809,7 +809,11 @@ class TimeSeries(TimeSeriesCore):
return statistics.mean(self.values)
def transform(
self, to_frequency: Literal["W", "M", "Q", "H", "Y"], method: Literal["sum", "mean"], eomonth: bool = False
self,
to_frequency: Literal["W", "M", "Q", "H", "Y"],
method: Literal["sum", "mean"],
eomonth: bool = False,
anchor_date=Literal["start", "end"],
) -> TimeSeries:
"""Transform a time series object into a lower frequency object with an aggregation function.
@ -854,18 +858,21 @@ class TimeSeries(TimeSeriesCore):
ensure_coverage=True,
eomonth=eomonth,
)
prev_date = dates[0]
# prev_date = dates[0]
new_ts_dict = {}
for date in dates[1:]:
cur_data = self[(self.dates >= prev_date) & (self.dates < date)]
for idx, date in enumerate(dates):
if idx == 0:
cur_data = self[self.dates <= date]
else:
cur_data = self[(self.dates <= date) & (self.dates > dates[idx - 1])]
if method == "sum":
value = sum(cur_data.values)
elif method == "mean":
value = cur_data.mean()
new_ts_dict.update({prev_date: value})
prev_date = date
new_ts_dict.update({date: value})
# prev_date = date
return self.__class__(new_ts_dict, to_frequency.symbol)