How do I read an .npy file that contains a string?

Question

I have a .npy file which contains tuples of one string (|S8) and 6 float values. I want to read the .npy in Rust as a vector of tuples.

I tried the npyz crate:

use npyz;

fn main() {
    read_depl_npy();
}

fn read_depl_npy() -> Result<(), Box<dyn std::error::Error>> {
    let bytes = std::fs::read("test-data/test.npy")?;
    let npy = npyz::NpyFile::new(&bytes[..])?;
    println!("{:?}", npy.into_vec::<Depl>());
    Ok(())
}

#[derive(npyz::Deserialize, Debug)]
struct Depl {
    name: String,
    a: f64,
    b: f64,
    c: f64,
    d: f64,
    e: f64,
    f: f64,
}

I get this error:

the trait `Deserialize` is not implemented for `String`

Are there any other solutions or modification to this code that I could use?

I tried to open the .npy in Python and send it to Rust using pyo3 by creating a Python module with Rust, but it's too inefficient. I wonder if Calling Python in Rust code would do any better.

Upadte:

I'm not in control of the data in the .npy file. It is given to me as is. Here are the first 8 items in the file :

0000 = {void} (b'N1      ', 1.15423654e-05, nan, -8.63531175e-06, 0.00234345, -1.93959406e-05, nan)
0001 = {void} (b'N10     ', nan, 0.00014046, 9.3921465e-07, nan, -1.36987648e-05, -0.00021798)
0002 = {void} (b'N100    ', -2.95802408e-06, 5.02222077e-05, 5.02908617e-07, 0.00222162, nan, 0.00015162)
0003 = {void} (b'N1000   ', 1.11732508e-06, 0.00018788, nan, 0.00098555, -6.56358132e-06, -0.00021724)
0004 = {void} (b'N1001   ', -1.07967489e-06, 0.0001863, -3.29593367e-07, 0.00098565, nan, -0.00021703)
0005 = {void} (b'N1002   ', nan, 0.00018486, -4.39249772e-07, 0.00098573, -6.54476282e-06, -0.00021686)
0006 = {void} (b'N1003   ', -1.01067021e-06, 0.00018347, 8.16061298e-07, 0.00098576, -6.56198811e-06, -0.00021675)
0007 = {void} (b'N1004   ', 1.03888923e-18, 0.00016245, -2.65077262e-06, 0.0016541, -1.13024989e-05, -0.00022285)
0008 = {void} (b'N1005   ', 2.02031333e-18, 0.00016073, -1.84684389e-06, 0.00165515, -1.13003433e-05, -0.00022227)

And the data type:

[('name', 'S8'), ('a', '<f8'), ('b', '<f8'), ('c', '<f8'), ('d', '<f8'), ('e', '<f8'), ('f', '<f8')]