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Fix for merge_informative_pair fix.
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@@ -95,13 +95,16 @@ def merge_informative_pair(
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# If date_merge of the informative dataframe candle that is above of first date of dataframe, then first raws of
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# dataframe are filled with Nans. The code below is to fix it and fulfill first raws with an appropriate values.
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if len(dataframe) > 1 and pd.isnull(dataframe.iloc[0]["date_merge"]):
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first_valid_idx = dataframe["date_merge"].first_valid_index()
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first_valid_date_merge = dataframe.loc[first_valid_idx, "date_merge"]
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matching_informative_raws = informative[informative["date_merge"] < first_valid_date_merge]
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if len(dataframe) > 1 and len(informative) > 0 and pd.isnull(dataframe.iloc[0][date_merge]):
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first_valid_idx = dataframe[date_merge].first_valid_index()
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first_valid_date_merge = dataframe.loc[first_valid_idx, date_merge]
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matching_informative_raws = informative[
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informative[date_merge] < first_valid_date_merge
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]
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if not matching_informative_raws.empty:
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dataframe.loc[:first_valid_idx - 1] = dataframe.loc[:first_valid_idx - 1].fillna(
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matching_informative_raws.iloc[-1])
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dataframe.loc[: first_valid_idx - 1] = dataframe.loc[: first_valid_idx - 1].fillna(
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matching_informative_raws.iloc[-1]
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)
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else:
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dataframe = pd.merge(
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dataframe, informative, left_on="date", right_on=date_merge, how="left"
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