Scheme (R6RS) Dataframe Library¶

A dataframe record type with procedures to select, drop, and rename columns, and filter, sort, split, bind, append, join, reshape, and aggregate dataframes.

Quick Example¶

(import (dataframe))

(define df
  (make-df*
    (grp 'a 'a 'b 'b 'b)
    (trt 'a 'b 'a 'b 'b)
    (adult 1 2 3 4 5)
    (juv 10 20 30 40 50)))

(dataframe-display
  (dataframe-filter* df (adult) (> adult 3)))

 dim: 2 rows x 4 cols
     grp     trt   adult     juv
   <sym>   <sym>   <num>   <num>
       b       b      4.     40.
       b       b      5.     50.

API Overview¶

Section	Procedures
Types	`get-type`, `guess-type`, `convert-type`
Series	`make-series`, `make-series*`, `series?`, `series-equal?`, …
Dataframe	`make-dataframe`, `make-df*`, `dataframe?`, `dataframe-equal?`, …
Display	`dataframe-display`, `dataframe-glimpse`
Read & Write	`dataframe-read`, `csv->dataframe`, `dataframe-write`, …
Select, Drop, & Rename	`dataframe-select`, `dataframe-drop`, `dataframe-rename`, …
Filter	`dataframe-filter`, `dataframe-partition`, `dataframe-unique`, …
Sort	`dataframe-sort`, `dataframe-sort*`
Split, Bind & Append	`dataframe-split`, `dataframe-bind`, `dataframe-append`, …
Crossing	`dataframe-crossing`
Join	`dataframe-inner-join`, `dataframe-left-join`, …
Reshape	`dataframe-stack`, `dataframe-spread`
Modify & Aggregate	`dataframe-modify`, `dataframe-aggregate`, …
Thread Macros	`->`, `->>`
Missing Values	`na?`, `any-na?`, `remove-na`, `dataframe-remove-na`
Statistics	`sum`, `mean`, `variance`, `quantile`, …