Crates.io | giga-segy-in |
lib.rs | giga-segy-in |
version | 0.4.0 |
source | src |
created_at | 2023-01-10 12:47:04.424049 |
updated_at | 2023-10-06 14:30:08.371149 |
description | A library allows parsing of SEG-Y. |
homepage | |
repository | https://github.com/GiGainfosystems/giga-segy |
max_upload_size | |
id | 755283 |
size | 73,868 |
A set of tools for reading and writing SEGY files conforming to the SEG Technical Standards Committee's SEG-Y_r2.0 standard, written in the Rust programming language.
giga-segy-in
is part of the giga-segy
library workspace, which is a tool for working with data in the SEG-Y format. The giga-segy-in
library provides functionality for parsing SEG-Y files of arbitrary size with a variety of options.
The library is quite lightweight, but provides options (feature flags) for allowing serialization/deserialization via serde
/serde_json
. NB: Functionality for the production of C bindings for header structures requires the direct use of giga-segy-core
.
Using the basic functionality of giga-segy
is as simple as adding the dependencies to the [dependencies]
section of the Cargo.toml of your project. Usually you only need giga-segy-in
or giga-segy-out
as they re-export all the necessities. However, for the generation of C bindings, you will need giga-segy-core
.
[dependencies]
# I am using `giga-segy-in` for my parser.
giga-segy-in = "0.3.1"
# I only need core as a dependency because I want C bindings for the headers.
giga-segy-core = { version = "0.3.1", features = ["gen_cbindings"]}
Here is an example of a super simple SEG-Y parser that uses giga-segy
.
use std::path::PathBuf;
use giga_segy_in::SegyFile;
let dir = PathBuf::from("/my/data/lives/here");
let full_path = dir.join("MyFavouriteSEGYDataset.sgy");
let file = SegyFile::open(name.to_str().unwrap(), Default::default()).unwrap();
// I want to get the text header and dump it to the terminal.
let text_header: &str = file.get_text_header();
println!("Text header: {:?}", text_header);
// Oops. SEG-Y headers look messy if we don't go line by line...
for line in file.get_text_header_lines() {
println!("{}", line);
}
// Now to have a look at the binary header.
let bin_header = file.get_bin_header();
println!("Bin header: {}", bin_header);
// Get the data in the order of appearance of traces in the file.
// Of course there are more organised ways of doing this,
// but I just want to see the data...
for trace in file.traces_iter() {
// First a quick peek at the trace header.
println!("Trace header: {}", trace.get_header());
// ..And then the data.
// NB: trace data is not loaded to RAM until this is called.
let data:Vec<f32> = file.get_trace_data_as_f32_from_trace(trace).unwrap();
println!("Data: {:?}", data);
}
The library was designed to work foremost for the GiGa infosystems codebase and thus has something of a "GiGa flavour" to it.