DataFrame

x.dataframe provides a small experimental tabular data API. It is intended as a foundation for data analysis workflows that need DataFrame-style operations without leaving V.

The module stores cells as strings and provides numeric helpers on Series for common analysis tasks.

import x.dataframe

const prices = 'symbol,price,qty
AAPL,189.5,2
MSFT,420.25,3
'

fn main() {
	df := dataframe.from_csv(prices, dataframe.CsvConfig{})!
	println(df.shape())

	price := df.column('price')!
	println(price.mean()!)

	liquid := df.filter(fn (row dataframe.Row) bool {
		return row.values['qty'].int() >= 3
	})
	println(liquid.rows)
}

Features

Load tabular data from CSV strings or files.
Access cells, rows, and columns by name.
Select columns and filter rows.
Sort by string or numeric column values.
Count distinct column values.
Calculate sum, mean, min, max, median, stddev, and describe summaries for numeric columns.

The API is experimental and may change while the module is under x.