te')); return $arr; } /* 遍历用户所有主题 * @param $uid 用户ID * @param int $page 页数 * @param int $pagesize 每页记录条数 * @param bool $desc 排序方式 TRUE降序 FALSE升序 * @param string $key 返回的数组用那一列的值作为 key * @param array $col 查询哪些列 */ function thread_tid_find_by_uid($uid, $page = 1, $pagesize = 1000, $desc = TRUE, $key = 'tid', $col = array()) { if (empty($uid)) return array(); $orderby = TRUE == $desc ? -1 : 1; $arr = thread_tid__find($cond = array('uid' => $uid), array('tid' => $orderby), $page, $pagesize, $key, $col); return $arr; } // 遍历栏目下tid 支持数组 $fid = array(1,2,3) function thread_tid_find_by_fid($fid, $page = 1, $pagesize = 1000, $desc = TRUE) { if (empty($fid)) return array(); $orderby = TRUE == $desc ? -1 : 1; $arr = thread_tid__find($cond = array('fid' => $fid), array('tid' => $orderby), $page, $pagesize, 'tid', array('tid', 'verify_date')); return $arr; } function thread_tid_delete($tid) { if (empty($tid)) return FALSE; $r = thread_tid__delete(array('tid' => $tid)); return $r; } function thread_tid_count() { $n = thread_tid__count(); return $n; } // 统计用户主题数 大数量下严谨使用非主键统计 function thread_uid_count($uid) { $n = thread_tid__count(array('uid' => $uid)); return $n; } // 统计栏目主题数 大数量下严谨使用非主键统计 function thread_fid_count($fid) { $n = thread_tid__count(array('fid' => $fid)); return $n; } ?>rust - using format!() with data from polars cells - Stack Overflow
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rust - using format!() with data from polars cells - Stack Overflow

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I am trying to figure out how to get format!() to work when pulling data from a polars dataframe but am not getting the formatting/alignment. It works when passing a String into format!() instead of an AnyValue. I am just now learning polars so I figure there is a step I am missing but am having trouble searching for it.

use chrono::prelude::*;
use polars::prelude::*;

fn main() {
    let mut df: DataFrame = df!(
        "name" => ["Alice Archer", "Ben Brown", "Chloe Cooper", "Daniel Donovan"],
        "birthdate" => [
            NaiveDate::from_ymd_opt(1997, 1, 10).unwrap(),
            NaiveDate::from_ymd_opt(1985, 2, 15).unwrap(),
            NaiveDate::from_ymd_opt(1983, 3, 22).unwrap(),
            NaiveDate::from_ymd_opt(1981, 4, 30).unwrap(),
        ],
        "weight" => [57.9, 72.5, 53.6, 83.1],  // (kg)
        "height" => [1.56, 1.77, 1.65, 1.75],  // (m)
    )
    .unwrap();

    let line_new = format!(
        "{:<10}{:>5}",
        df.column("name").unwrap().get(1).unwrap(),
        df.column("weight").unwrap().get(1).unwrap()
    );
    println!("{}", line_new);
}

Actual Output

"Ben"72

Desired Output

"Ben"         72

I am trying to figure out how to get format!() to work when pulling data from a polars dataframe but am not getting the formatting/alignment. It works when passing a String into format!() instead of an AnyValue. I am just now learning polars so I figure there is a step I am missing but am having trouble searching for it.

use chrono::prelude::*;
use polars::prelude::*;

fn main() {
    let mut df: DataFrame = df!(
        "name" => ["Alice Archer", "Ben Brown", "Chloe Cooper", "Daniel Donovan"],
        "birthdate" => [
            NaiveDate::from_ymd_opt(1997, 1, 10).unwrap(),
            NaiveDate::from_ymd_opt(1985, 2, 15).unwrap(),
            NaiveDate::from_ymd_opt(1983, 3, 22).unwrap(),
            NaiveDate::from_ymd_opt(1981, 4, 30).unwrap(),
        ],
        "weight" => [57.9, 72.5, 53.6, 83.1],  // (kg)
        "height" => [1.56, 1.77, 1.65, 1.75],  // (m)
    )
    .unwrap();

    let line_new = format!(
        "{:<10}{:>5}",
        df.column("name").unwrap().get(1).unwrap(),
        df.column("weight").unwrap().get(1).unwrap()
    );
    println!("{}", line_new);
}

Actual Output

"Ben"72

Desired Output

"Ben"         72
Share Improve this question edited 2 days ago cafce25 27.5k5 gold badges44 silver badges55 bronze badges asked Feb 17 at 22:11 OldManSephOldManSeph 2,72118 silver badges22 bronze badges
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1 Answer 1

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You have to extract the values from AnyValue first. To extract the string you can use str_value or(get_str) method. To extract the numerical value you can use try_extract.

let name = df.column("name").unwrap().get(1).unwrap();
let weight = df.column("weight").unwrap().get(1).unwrap();

let line_new = format!(
    "{:<10}{:>5}",
    name.str_value(),
    weight.try_extract::<i32>().unwrap()
);
println!("{}", line_new);
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