Jack Wright af77bc60e2 Improved null handling when converting from nu -> dataframe. (#13855) ... # Description Fixes: #12726 and #13185 Previously converting columns that contained null caused polars to force a dtype of object even when using a schema. Now: 1. When using a schema, the type the schema defines for the column will always be used. 2. When a schema is not used, the previous type is used when a value is null. # User-Facing Changes - The type defined by the schema we be respected when passing in a null value `[a]; [null] | polars into-df -s {a: str}` will create a df with an str dtype column with one null value versus a column of type object. - *BREAKING CHANGE* If you define a schema, all columns must be in the schema.		2024-09-16 18:07:13 -05:00
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cache	Change the usage misnomer to "description" (#13598)	2024-08-22 12:02:08 +02:00
dataframe	Improved null handling when converting from nu -> dataframe. (#13855)	2024-09-16 18:07:13 -05:00
lib.rs	catch unwrap on panics with polars collect (#13850)	2024-09-15 07:21:02 -05:00
main.rs	Converted perf function to be a macro. Utilized the perf macro within the polars plugin. (#13224)	2024-06-27 18:56:56 -05:00