brassfibre 0.2.0

Provides multiple-dtype columner storage, known as DataFrame in pandas/R
Documentation 
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use std::io::Write;
use std::str;

#[macro_use]
extern crate brassfibre;
use brassfibre::prelude::*;

#[test]
fn test_series_format() {
    let s = Series::new(vec![1, 10, 100], vec!["XX", "Y", "ZZ"]);

    // better way?
    let mut buf = Vec::new();
    let _ = write!(&mut buf, "{}", s);
    assert_eq!(&buf, b"Series([1, 10, 100])");
}

#[test]
fn test_series_format_debug() {
    let s = Series::new(vec![1, 10, 100], vec!["XX", "Y", "ZZ"]);

    // better way?
    let mut buf = Vec::new();
    let _ = write!(&mut buf, "{:?}", s);
    assert_eq!(&buf,
               b"XX   1
 Y  10
ZZ 100");
}

#[test]
fn test_block_format() {
    let b = Block::from_col_vec(vec![1, 10, 100, 100, 10, 1, 1, 1, 1],
                                vec!["XX", "Y", "ZZ"],
                                vec!["A", "BBB", "CCCCC"]);

    // better way?
    let mut buf = Vec::new();
    let _ = write!(&mut buf, "{}", b);
    let res = str::from_utf8(&buf).unwrap();
    assert_eq!(res, "Block(columns=[\"A\", \"BBB\", \"CCCCC\"])");
}

#[test]
fn test_block_format_debug() {
    let b = Block::from_col_vec(vec![1, 10, 100, 100, 10, 1, 1, 1, 1],
                                vec!["XX", "Y", "ZZ"],
                                vec!["A", "BBB", "CCCCC"]);

    // better way?
    let mut buf = Vec::new();
    let _ = write!(&mut buf, "{:?}", b);
    let res = str::from_utf8(&buf).unwrap();
    assert_eq!(res,
               "     A BBB CCCCC
XX   1 100     1
 Y  10  10     1
ZZ 100   1     1");
}

#[test]
fn test_dataframe_format() {
    let values =
        vec![array![1, 2, 3, 4, 5], array![6.1, 7.1, 8.1, 9.1, 10.1], array![11, 12, 13, 14, 15]];
    let df = DataFrame::from_vec(values, vec![10, 20, 30, 40, 50], vec!["X", "YYY", "ZZ"]);

    // better way?
    let mut buf = Vec::new();
    let _ = write!(&mut buf, "{}", df);
    let res = str::from_utf8(&buf).unwrap();
    assert_eq!(res, "DataFrame(columns=[\"X\", \"YYY\", \"ZZ\"])");
}

#[test]
fn test_dataframe_format_debug() {
    let values =
        vec![array![1, 2, 3, 4, 5], array![6.1, 7.1, 8.1, 9.1, 10.1], array![11, 12, 13, 14, 15]];
    let df = DataFrame::from_vec(values, vec![10, 20, 30, 40, 50], vec!["X", "YYY", "ZZ"]);

    // better way?
    let mut buf = Vec::new();
    let _ = write!(&mut buf, "{:?}", df);
    let res = str::from_utf8(&buf).unwrap();
    assert_eq!(res,
               "   X  YYY ZZ
10 1  6.1 11
20 2  7.1 12
30 3  8.1 13
40 4  9.1 14
50 5 10.1 15");
}