Comments (1)
stinodego
commented on May 28, 2024
For clarity: this should not work, but the error message could be better. More minimal repro:
from datetime import date
import polars as pl
df = pl.DataFrame({"date": [date(2022, 1, 1), None]})
result = df.select(pl.col("date").fill_null(1.0))
print(result)thread '<unnamed>' panicked at crates/polars-core/src/series/mod.rs:938:13:
implementation error, cannot get ref Int32 from Float64
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
Traceback (most recent call last):
File "/home/stijn/code/polars/py-polars/repro.py", line 6, in <module>
result = df.select(pl.col("date").fill_null(1.0))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/stijn/code/polars/py-polars/polars/dataframe/frame.py", line 8132, in select
return self.lazy().select(*exprs, **named_exprs).collect(_eager=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/stijn/code/polars/py-polars/polars/lazyframe/frame.py", line 1816, in collect
return wrap_df(ldf.collect(callback))
^^^^^^^^^^^^^^^^^^^^^
pyo3_runtime.PanicException: implementation error, cannot get ref Int32 from Float64
For your use case, I would recommend filling with date.min instead.
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