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ConsultancyProject_2_ETL
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Sortierung für etl_property_capacities_monthly eingefügt

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mmaurostoffel 2025-01-09 15:59:16 +01:00
parent a6cbe3bc29
commit 65b63d1326
1 changed files with 6 additions and 3 deletions
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etl/src/data/etl_property_capacities_monthly.py
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@ -17,8 +17,11 @@ def property_capacities_monthly(id: int, scrapeDate: str):
df_calendar = df_calendar.transpose() df_calendar = df_calendar.transpose()
df_calendar = df_calendar.with_columns(pl.Series(name="dates", values=columnTitles)) df_calendar = df_calendar.with_columns(pl.Series(name="dates", values=columnTitles))
df_calendar = df_calendar.with_columns((pl.col("dates").str.to_date())) df_calendar = df_calendar.with_columns((pl.col("dates").str.to_date()))
df_calendar = df_calendar.with_columns((pl.col("dates").dt.strftime("%b") + " " + (pl.col("dates").dt.strftime("%Y")))) df_calendar = df_calendar.with_columns((pl.col("dates").dt.strftime("%b") + " " + (pl.col("dates").dt.strftime("%Y"))).alias('date_short'))
df_calendar = df_calendar.with_columns((pl.col("dates").dt.strftime("%Y") + " " + (pl.col("dates").dt.strftime("%m"))).alias('dates'))
df_calendar = df_calendar.group_by("dates").agg(pl.col("column_0").sum()) df_calendar = df_calendar.group_by(['dates', 'date_short']).agg(pl.col("column_0").sum())
result = {"scraping-date": scrapeDate, "months": df_calendar['dates'].to_list(), 'capacities': df_calendar['column_0'].to_list()} df_calendar = df_calendar.sort('dates')
df_calendar = df_calendar.drop('dates')
result = {"scraping-date": scrapeDate, "months": df_calendar['date_short'].to_list(), 'capacities': df_calendar['column_0'].to_list()}
return result return result