Crates.io | iter-tuple |
lib.rs | iter-tuple |
version | 0.3.8 |
source | src |
created_at | 2024-07-27 02:43:25.606443 |
updated_at | 2024-08-18 23:11:20.659651 |
description | Rust iterator for tuple through proc-macro2 struct Vec AnyValue of polars DataFrame |
homepage | https://crates.io/crates/iter-tuple |
repository | https://github.com/nomissbowling/iter-tuple |
max_upload_size | |
id | 1316998 |
size | 26,347 |
Rust iterator for tuple through proc-macro2 struct Vec AnyValue of polars DataFrame
use iter_tuple::tuple_derive;
use iter_tuple::tuple_sqlite3; // optional (must use with tuple_derive)
use iter_tuple::struct_derive; // optional (must use with tuple_sqlite3)
use polars::prelude::{DataFrame, AnyValue, Schema}; // , Field, DataType
use anyvalue_dataframe::{row_schema, named_schema, to_any};
/// auto defines struct StTpl and sqlite3 trait with struct_derive (optional)
#[struct_derive((id, string), (UInt64, Utf8))]
/// auto defines sqlite3 trait for RecTpl with tuple_sqlite3 (optional)
#[tuple_sqlite3(UInt64, Utf8)]
/// auto defines struct RecTpl with tuple_derive
#[tuple_derive(UInt64, Utf8)]
pub type Tpl<'a> = (u64, &'a str);
pub fn main() {
let rows = [
(0, "a"),
(1, "b"),
(2, "c")
].into_iter().map(|r|
row_schema(RecTpl::into_iter(r).collect())
// row_schema(RecTpl::from(r).into_iter().collect()) // same as above
).collect::<Vec<_>>();
let schema = Schema::from(&rows[0]);
let df = DataFrame::from_rows_iter_and_schema(rows.iter(), &schema);
let mut df = df.expect("create DataFrame");
let n = vec!["id", "string"];
df.set_column_names(&n).expect("set column names");
let sc = named_schema(&df, n);
assert_eq!(df.schema(), sc); // OK all
let df = df.select(["string", "id"]).expect("select columns");
println!("{:?}", df.head(Some(100)));
}
MIT License