### Intro
Add a custom derive to a struct to make it parsable from CSVs. The derive
makes it possible to construct a CSVIterator over your type. The backend will
ignore extra columns as necessary, and only requires that the columns which
have fields in your struct exist. The String::parse<> functions are used to
parse CSV fields to the datatype of the field in your struct.
### Installation
```toml
[dependencies]
easy-csv = "0.2.0"
easy-csv-derive = "0.2.0"
csv = "0.14.0"
```
`csv` is a sibling dependency because you have to create the `csv::Reader` yourself.
### Usage example
```rust
extern crate easy_csv;
#[macro_use]
extern crate easy_csv_derive;
extern crate csv;
use easy_csv::{CSVIterator,CSVParsable};
#[derive(Debug,CSVParsable)]
struct Record {
a : i32,
b : i8,
d : String,
}
fn main() {
let data = "
a,b,c,d
2,-3,foo,bar";
let mut rdr = csv::Reader::from_string(data);
let iter = CSVIterator::<Record,_>::new(&mut rdr);
let res : Vec<Record> = iter.collect();
println!("{:?}", res);
}
```
Output: `[Record { a: 2, b: -3, d: "bar" }]`