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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,11 +1,29 @@ | ||
import pandas as pd | ||
import polars as pl | ||
from datetime import date | ||
from typing import Any | ||
import dataframe_api_compat | ||
|
||
df = pl.DataFrame( | ||
{ | ||
"date": pl.date_range(date(2020, 10, 30), date(2021, 6, 1), eager=True), | ||
} | ||
) | ||
df = df.with_columns(values=pl.arange(0, len(df))) | ||
|
||
print(df.groupby_dynamic("date", every="3mo").agg(pl.col("values").sum())) | ||
def convert_to_standard_compliant_dataframe(df: pd.DataFrame | pl.DataFrame) -> Any: | ||
# todo: type return | ||
if isinstance(df, pd.DataFrame): | ||
return ( | ||
dataframe_api_compat.pandas_standard.convert_to_standard_compliant_dataframe( | ||
df | ||
) | ||
) | ||
elif isinstance(df, pl.DataFrame): | ||
return ( | ||
dataframe_api_compat.polars_standard.convert_to_standard_compliant_dataframe( | ||
df | ||
) | ||
) | ||
else: | ||
raise AssertionError(f"Got unexpected type: {type(df)}") | ||
|
||
|
||
dfpd = pd.DataFrame({"a": [1, 2, 3]}) | ||
dfpl = pl.DataFrame({"a": [1, 2, 3]}) | ||
|
||
dfpd = convert_to_standard_compliant_dataframe(dfpd) | ||
dfpl = convert_to_standard_compliant_dataframe(dfpl) |