16 lines
350 B
Python
16 lines
350 B
Python
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import polars as pl
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# Load the CSV
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df = pl.read_csv("dfa-networth-levels.csv")
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# Select only the columns you want to keep: Date, Category, and Net worth
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df_selected = df.select(["Date", "Category", "Net worth"])
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melted_df = df_selected.pivot(
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index=["Date"],
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values=["Net worth"],
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on=["Category"],
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)
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melted_df.write_csv("levels.csv")
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