// Open file simple_xy.nc:
let file = netcdf::open(&path_to_simple_xy).unwrap();

// Access any variable, attribute, or dimension through simple HashMap's:
let var = file.root.variables.get("data").unwrap();

// Read variable as any NC_TYPE, optionally failing if doing so would
// force a cast:
let data : Vec<i32> = var.get_int(false).unwrap();

// You can also use values() to read the variable, data will be implicitly casted
// if needed
let data : Vec<i32> = var.values().unwrap();

// All variable data is read into 1-dimensional Vec.
for x in 0..(6*12) {
    assert_eq!(data[x], x as i32);
}

// You can also fetch a single value from a datasets,
// using a array slice to index it
let first_val: i32 = var.value_at(&[5, 3]).unwrap();

Write Example

let f = netcdf::test_file_new("crabs.nc"); // just gets a path inside repo

let mut file = netcdf::create(&f).unwrap();

let dim_name = "ncrabs";
file.root.add_dimension(dim_name, 10).unwrap();

let var_name = "crab_coolness_level";
let data : Vec<i32> = vec![42; 10];
// Variable type written to file is inferred from Vec type:
file.root.add_variable(
            var_name, 
            &vec![dim_name.to_string()],
            &data
        ).unwrap();

Documentation

I intend to improve documentation soon. For now, check out tests/lib.rs for quite a few usage examples.