Ignoring parse errors
A bad value, the literal text "unknown", has slipped into the checkouts column of the vendor export. Polars normally fails when it can't parse a value into the inferred dtype. Tell Polars to skip these errors so the team can still load the rest of the data.
A normal row and the row with the bad value are printed for you so you can see what's going on.
Este ejercicio forma parte del curso
Scaling and Optimizing Data Pipelines with Polars
Instrucciones del ejercicio
- Add the argument that tells Polars to set bad values to
nulland continue scanning.
ejercicio interactivo práctico
Prueba este ejercicio completando este código de ejemplo.
result = pl.scan_csv(
MESSY_CSV_PATH,
separator=";",
skip_rows=2,
schema_overrides={
"checkouts": pl.Int64,
"branch_code": pl.String,
},
# Tolerate values that don't fit the schema
____=____,
).collect()
print(result)