`polars open` for dataframe

Opens CSV, JSON, NDJSON/JSON lines, arrow, avro, or parquet file to create dataframe. A lazy dataframe will be created by default, if supported.

Signature

> polars open {flags} (file)

--eager: Open dataframe as an eager dataframe.
--type, -t {string}: File type: csv, tsv, json, parquet, arrow, avro. If omitted, derive from file extension.
--delimiter, -d {string}: File delimiter character. CSV file.
--no-header: Indicates if file doesn't have header. CSV file.
--infer-schema {number}: Number of rows to infer the schema of the file. CSV file.
--skip-rows {number}: Number of rows to skip from file. CSV file.
--columns {list<string>}: Columns to be selected from csv file. CSV and Parquet file.
--schema, -s {any}: Polars Schema in format [{name: str}]. CSV, JSON, and JSONL files.
--hive-enabled: Enable hive support. Parquet and Arrow files.
--hive-start-idx {number}: Start index of hive partitioning. Parquet and Arrow files.
--hive-schema {any}: Hive schema in format [{name: str}]. Parquet and Arrow files.
--hive-try-parse-dates: Try to parse dates in hive partitioning. Parquet and Arrow files.
--truncate-ragged-lines: Truncate lines that are longer than the schema. CSV file.

input	output
any	polars_dataframe
any	polars_lazyframe

Takes a file name and creates a dataframe

> polars open test.csv