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polars uses the first 100 rows to determine the schema of a table by default. Because of this, it infers the type of the age column as some variant of Int. However, in row 186 (header skipped), the float 60.667 appears in the age column, which causes this error.
Describe the bug
After creating a Table using
data = Table.from_csv_file("cldata.csv")
it seems that some functions dont work with it.cldata.csv
We get this error:
dtypes
argumentignore_errors
toTrue
,60.667
to thenull_values
list.Original error:
remaining bytes non-empty
To Reproduce
data = Table.from_csv_file("cldata.csv")
data.slice_rows(length=10)
ordata.summarize_statistics()
Expected behavior
The functions should work :)
Screenshots (optional)
No response
Additional Context (optional)
No response
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