我想阅读以下（相当破碎，IMO）来自Rigol MSO 5000示波器的带有Pola-rs的CSV：

D7-D0,D15-D8,t0 = -25.01s, tInc = 2e-06,
+2.470000E+02,2.000000E+00,,
+1.590000E+02,1.600000E+01,,
+2.400000E+02,2.000000E+00,,
+2.470000E+02,+1.300000E+02,,
+1.590000E+02,1.800000E+01,,
+2.470000E+02,+1.300000E+02,,
9.500000E+01,1.800000E+01,,
9.500000E+01,1.800000E+01,,
+2.400000E+02,0.000000E+00,,
(...)

下面是我目前的Jupyter笔记本迭代/尝试之前，发现选择与索引是不鼓励在Pola-rs：

import polars as pl

df = pl.read_csv("normal0.csv")

# Grab initial condition and increments
t0 = df.columns[2]; assert "t0" in t0; t0 = float(t0.split('=')[1].replace('s', '').strip())
tinc = df.columns[3]; assert "tInc" in tinc; tinc = float(tinc.split('=')[1].strip())

# TODO: Generate Series() from t0+tinc and include it in the final DataFrame

# Reshape and cleanup
probes = df.with_column(df["D7-D0"].cast(pl.Float32).alias("D0-D7 floats")) \
             .with_column(df["D15-D8"].cast(pl.Float32).alias("D15-D8 floats")) \
             .drop(df.columns[2]) \
             .drop(df.columns[3])
(...)

def split_probes(probes: pl.Series):
    ''' Splits bundles of probe cables such as D0-D7 or D15-D8 into individual dataframe columns
    '''
    out = pl.DataFrame(columns=["D"+str(line) for line in range(0,16)])
#    for row in range(probes.height):
#        for probe in range(0, 7):
#            out["D"+str(probe)].with_columns(probes["D0-D7 floats"][row % (probe + 1)])
#         for probe in reversed(range(9, 16)): # TODO: Fix future captures or parametrise this
#             outprobes["D15-D8 floats"][row % probe]

下面是我在I was told on Polars Discord that this problem might not be optimally solvable with dataframe libraries时的较低级别CSV解析Rust伪代码方法：

use csv;
use std::error::Error;
use std::io;
use std::process;
use serde::Deserialize;

#[derive(Debug, Deserialize)]
struct OrigOscilloscope {
    #[serde(rename = "D7-D0")]
    d7_d0: String, // TODO: Unfortunately those fields are "user-flippable" in order from the scope, i.e: d0_d7 vs d7_d0
    #[serde(rename = "D15-D8")]
    d15_d8: String,
    // Do not even register those on Serde as they are empty rows anyway
    // t0: Option<String>,
    // t_inc: Option<String>
}

#[derive(Debug, Deserialize)]
struct LAProbesOscilloscopeState {
    //Vec<d0...d15>: Vec<Vec<16*f32>>, // TODO: More appropriate struct representation for the target dataframe
    d0: f32,
    d1: f32,
    d2: f32,
    d3: f32,
    d4: f32,
    d5: f32,
    d6: f32,
    d7: f32,
    d8: f32,
    d9: f32,
    d10: f32,
    d11: f32,
    d12: f32,
    d13: f32,
    d14: f32,
    d15: f32,
    timestamp: f32
}

fn run() -> Result<(), Box<dyn Error>> {
    let mut rdr = csv::ReaderBuilder::new()
        .has_headers(false)
        .flexible(true) // ignore broken header
        .from_reader(io::stdin());

    // Get timeseries information from header... :facepalm: rigol
    // Initial timestamp...
    let header = rdr.headers()?.clone();
    let t0_header: Vec<&str> = header[2].split('=').collect();
    let t0 = t0_header[1].trim_start().replace('s', "").parse::<f32>()?;
    // ...and increments
    let tinc_header: Vec<&str> = header[3].split('=').collect();
    let tinc = tinc_header[1].trim_start().parse::<f32>()?;
    println!("Initial timestamp {t0} with increments of {tinc} seconds");

    // Now do the splitting of wires from its Dx-Dy "bundles"
    let mut timestamp = t0;
    for result in rdr.deserialize().skip(1) {
        let row: OrigOscilloscope = result?;

        // if rdr.position().line().rem_euclid(8) {
        // // Read D0-D15 field(s), expanding them into the current row, matching its column
        // }
        // println!("{:#?}", row.d7_d0.parse::<f32>()?);

        // update timestamp for this row
        timestamp = timestamp + tinc;
    }
    Ok(())
}

fn main() {
    if let Err(err) = run() {
        println!("{}", err);
        process::exit(1);
    }
}

我希望可以清楚地看到所需的目标 Dataframe 如下所示：

d0, d1, d2, d3, d4, d5, d6, d7, d8, d9, d10, d11, d12, d13, d14, d15, timestamp
95, 95, 247, 159, 247, 240, 159, 247 (...)                            -25.01+000000.2
(...)

并且生成的代码应该（理想情况下？）高效地使用Polars。另外，如上所述，避免“使用索引进行选择”，因为它可能在未来的Polars中完全被弃用。