Crates.io | csv_perusal |
lib.rs | csv_perusal |
version | 0.8.2 |
source | src |
created_at | 2023-10-04 15:17:55.363138 |
updated_at | 2024-07-02 18:21:52.234862 |
description | Reads CSV files and returns the contents of the file with the appropriate datatype. |
homepage | |
repository | https://github.com/Cosiamo/CSV-Perusal |
max_upload_size | |
id | 992473 |
size | 94,797 |
A cargo crate that reads CSV files and returns the contents of the file with the appropriate datatype. Inspired by Calamine, this package aims to make dealing with CSV files easier.
CSV Perusal is built with uploading values from CSV files into relational databases in mind. The value returned when opening a CSV file is a two-dimensional vector of the CSVType
enumerator, with each inner vector acting as a different row.
CSV Perusal is very simple and easy to use. If you have a file path and just want the values parsed, open_csv()
is what you're looking for. If you have a particular way you want to open a CSV file with the csv
crate and have a vector of ByteRecords
, or have a two-dimensional vector of a String
or &str
, then you'll want to use the method get_csv_types()
.
use csv_perusal::{open_csv, CSVType};
fn main() {
let path = "test_data/DATA10ROWS.csv";
let grid = open_csv(path).unwrap();
grid.iter().for_each(|row| {
row.iter().for_each(|cell| {
match cell {
CSVType::Int(val) => print!("INT:{:?}, ", val),
CSVType::Float(val) => print!("FLOAT:{:?}, ", val),
CSVType::String(val) => print!("STRING:{:?}, ", val),
CSVType::Date(val) => print!("DATE:{:?}, ", val),
CSVType::Time(val) => print!("TIME:{:?}, ", val),
CSVType::DateTime(val) => print!("DATETIME:{:?}, ", val),
CSVType::Error(err) => print!("ERROR:{:?}", err),
CSVType::Empty => print!("NONE, "),
}
});
print!("\n");
});
}
id | Money | Percent | Date | DateTime | Time12h | Time24h |
---|---|---|---|---|---|---|
1 | $8.70 | 34.1% | 5/28/2023 | 10/25/2023 19:48 | 5:31 PM | 23:02 |
2 | $6.08 | 90.10% | 2/7/2023 | 11/4/2023 1:58 | 6:47 AM | 14:11 |
3 | $6.44 | 50.10% | 7/24/2023 | 7/4/2023 1:04 | 12:32 PM | 17:27 |
4 | $4.99 | 15.60% | 12/29/2022 | 12/4/2023 11:34 | 5:17 PM | 4:53 |
STRING: "id", STRING: "Money", STRING: "Percent", STRING: "Date", STRING: "DateTime", STRING: "Time12h", STRING: "Time24h",
-----------------------------
INT: 1, FLOAT: 8.7, FLOAT: 0.341, DATE: "2023-05-28", DATETIME: "2023-10-25 19:48:00", TIME: "17:31:00", TIME: "23:02:00",
INT: 2, FLOAT: 6.08, FLOAT: 0.901, DATE: "2023-02-07", DATETIME: "2023-11-04 01:58:00", TIME: "06:47:00", TIME: "14:11:00",
INT: 3, FLOAT: 6.44, FLOAT: 0.501, DATE: "2023-07-24", DATETIME: "2023-07-04 01:04:00", TIME: "12:32:00", TIME: "17:27:00",
INT: 4, FLOAT: 4.99, FLOAT: 0.156, DATE: "2022-12-29", DATETIME: "2023-12-04 11:34:00", TIME: "17:17:00", TIME: "04:53:00",
mm/dd/yyyy
and yyyy/mm/dd
formats first but will change to dd/mm/yyyy
or yyyy/dd/mm
if month value is greater than 12. Please be aware if you have dates in dd/mm/yyyy
format, dates such as 2/11/2024 will be read as February 11th instead of November 2nd.yyyy-mm-dd
but you can use the Chrono package to change the formatmm/dd/yyyy
, dd/mm/yyyy
, yyyy/mm/dd
, yyyy/dd/mm
, m/dd/yyyy
, mm/d/yyyy
, dd/m/yyyy
, yyyy/mm/d
, yyyy/dd/m
, yyyy/m/dd
, m/d/yyyy
, yyyy/m/d
, mm/dd/yy
, dd/mm/yy
, m/dd/yy
, mm/d/yy
, dd/m/yy
, yy/m/dd
, yy/mm/d
, yy/dd/m
, m/d/yy
, yy/m/d