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-rw-r--r--python/reto.py9
1 files changed, 0 insertions, 9 deletions
diff --git a/python/reto.py b/python/reto.py
index 47312717..d773c354 100644
--- a/python/reto.py
+++ b/python/reto.py
@@ -106,25 +106,16 @@ def transform_df(df):
"spread_shock": "spread_shock",
"CASH_BASIS": "CASH_BASIS",
"HEDGE_CLO": "HEDGE_CLO",
- "TEST": "TEST",
}
)
df = df.reset_index().rename(columns={"level_0": "unit"})
-
- # Get the list of strategy columns by slicing the `df.columns` array
strategy_columns = df.columns[3:]
-
- # Create a new dataframe with the desired format, using the dynamic list of strategy columns
df = pd.melt(
df, id_vars=["unit", "date", "spread_shock"], value_vars=strategy_columns
)
-
- # Rename the columns to the desired names
df = df.rename(
columns={"variable": "strategy", "value": "value", "unit": "output_type"}
)
-
- # Print the new dataframe to check
return df