dfr open for dataframe

Opens CSV, JSON, arrow, or parquet file to create dataframe.

Signature

> dfr open (file) --lazy --type --delimiter --no-header --infer-schema --skip-rows --columns

Parameters

• file: file path to load values from
• --lazy (-l): creates a lazy dataframe
• --type {string}: File type: csv, tsv, json, parquet, arrow. If omitted, derive from file extension
• --delimiter {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

Examples

Takes a file name and creates a dataframe

> dfr open test.csv