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Update data_drawer.py
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@@ -285,8 +285,8 @@ class FreqaiDataDrawer:
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hist_preds = self.historic_predictions[pair].copy()
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# ensure both dataframes have the same date format so they can be merged
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new_pred["date_pred"] = pd.to_datetime(new_pred["date_pred"], utc=True)
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hist_preds["date_pred"] = pd.to_datetime(hist_preds["date_pred"], utc=True)
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new_pred["date_pred"] = pd.to_datetime(new_pred["date_pred"])
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hist_preds["date_pred"] = pd.to_datetime(hist_preds["date_pred"])
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# find the closest common date between new_pred and historic predictions
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# and cut off the new_pred dataframe at that date
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