示例数据

本书中可能会使用一些数据，集中罗列在此。

#![allow(unused)]
fn main() {
let mut employee_df: DataFrame = df!("姓名"=> ["老李", "老李", "老李", "老李", "老张", "老张", "老张", "老张", "老王", "老王", "老王", "老王"],
"员工ID"=> ["员工01", "员工01", "员工01", "员工01", "员工02", "员工02", "员工02", "员工02", "员工03", "员工03", "员工03", "员工03"],
"日期"=> ["8月", "9月", "10月", "11月", "8月", "9月", "10月", "11月", "8月", "9月", "10月", "11月"],
"业绩"=> [83, 24, 86, 74, 89, 59, 48, 79, 51, 71, 44, 90])?;

use polars::prelude::*;
use chrono::prelude::*;
use polars::prelude::prelude::date_range;
let mut types_df = df!(
    "id" => &[9, 4, 2],
    "place" => &["Mars", "Earth", "Saturn"],
    "date" => date_range("date".into(),
NaiveDate::from_ymd_opt(2022, 1, 1).unwrap().and_hms_opt(0, 0, 0).unwrap(),
NaiveDate::from_ymd_opt(2022, 1, 3).unwrap().and_hms_opt(0, 0, 0).unwrap(),
Duration::parse("1d"),ClosedWindow::Both, TimeUnit::Milliseconds, None)?,
    "sales" => &[33.4, 2142134.1, 44.7],
    "has_people" => &[false, true, false],
    "logged_at" => date_range("logged_at".into(),
    NaiveDate::from_ymd_opt(2022, 1, 1).unwrap().and_hms_opt(0, 0, 0).unwrap(), NaiveDate::from_ymd_opt(2022, 1, 1).unwrap().and_hms_opt(0, 0, 2).unwrap(), Duration::parse("1s"),ClosedWindow::Both, TimeUnit::Milliseconds, None)?,
    )?
    .with_row_index("index".into(), None)?;
  let salary_df = df![
    "类别" => ["开发","开发","开发","开发","开发","实习","实习","销售","销售","销售"],
    "员工ID" => [11,7,9,8,10,5,2,3,1,4],
    "薪水" => [5200,4200,4500,6000,5200,3500,3900,4800,5000,4800],
    ]?;
}