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fix: Disabling timezone of dataframe before passing Prophet (#11107)
* fix: Disabling timezone of dataframe before passing Prophet While running forecasting with Druid. Prophet throws the following exception. This PR removes the timezone info. ValueError: Column ds has timezone specified, which is not supported. Remove timezone https://github.com/apache/incubator-superset/issues/11106 @villebro * Update pandas_postprocessing.py * Update superset/utils/pandas_postprocessing.py Co-authored-by: Ville Brofeldt <33317356+villebro@users.noreply.github.com> Co-authored-by: Ville Brofeldt <33317356+villebro@users.noreply.github.com>
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@ -599,6 +599,8 @@ def _prophet_fit_and_predict( # pylint: disable=too-many-arguments
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weekly_seasonality=weekly_seasonality,
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weekly_seasonality=weekly_seasonality,
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daily_seasonality=daily_seasonality,
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daily_seasonality=daily_seasonality,
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)
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)
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if df["ds"].dt.tz:
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df["ds"] = df["ds"].dt.tz_convert(None)
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model.fit(df)
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model.fit(df)
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future = model.make_future_dataframe(periods=periods, freq=freq)
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future = model.make_future_dataframe(periods=periods, freq=freq)
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forecast = model.predict(future)[["ds", "yhat", "yhat_lower", "yhat_upper"]]
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forecast = model.predict(future)[["ds", "yhat", "yhat_lower", "yhat_upper"]]
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