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< h1 id = "csv" > < a class = "header" href = "#csv" > CSV< / a > < / h1 >
< h2 id = "读取-csv-记录" > < a class = "header" href = "#读取-csv-记录" > 读取 CSV 记录< / a > < / h2 >
< p > 我们可以将标准的 CSV 记录值读取到 < a href = "https://docs.rs/csv/*/csv/struct.StringRecord.html" > csv::StringRecord< / a > 中,但是该数据结构期待合法的 UTF8 数据行,你还可以使用 < a href = "https://docs.rs/csv/1.1.6/csv/struct.ByteRecord.html" > csv::ByteRecord< / a > 来读取非 UTF8 数据。< / p >
< pre > < pre class = "playground" > < code class = "language-rust editable edition2021" > use csv::Error;
fn main() -> Result< (), Error> {
let csv = " year,make,model,description
1948,Porsche,356,Luxury sports car
1967,Ford,Mustang fastback 1967,American car" ;
let mut reader = csv::Reader::from_reader(csv.as_bytes());
for record in reader.records() {
let record = record?;
println!(
" In {}, {} built the {} model. It is a {}." ,
& record[0],
& record[1],
& record[2],
& record[3]
);
}
Ok(())
}
< / code > < / pre > < / pre >
< p > 还可以使用 < a href = "https://docs.rs/serde/1.0.136/serde/" > < code > serde< / code > < / a > 将数据反序列化成一个强类型的结构体。< / p >
< pre > < pre class = "playground" > < code class = "language-rust editable edition2021" > use serde::Deserialize;
#[derive(Deserialize)]
struct Record {
year: u16,
make: String,
model: String,
description: String,
}
fn main() -> Result< (), csv::Error> {
let csv = " year,make,model,description
1948,Porsche,356,Luxury sports car
1967,Ford,Mustang fastback 1967,American car" ;
let mut reader = csv::Reader::from_reader(csv.as_bytes());
for record in reader.deserialize() {
let record: Record = record?;
println!(
" In {}, {} built the {} model. It is a {}." ,
record.year,
record.make,
record.model,
record.description
);
}
Ok(())
}
< / code > < / pre > < / pre >
< h3 id = "读取使用了不同分隔符的-csv-记录" > < a class = "header" href = "#读取使用了不同分隔符的-csv-记录" > 读取使用了不同分隔符的 CSV 记录< / a > < / h3 >
< p > 下面的例子将读取使用了 < code > tab< / code > 作为分隔符的 CSV 记录。< / p >
< pre > < pre class = "playground" > < code class = "language-rust editable edition2021" > use csv::Error;
use serde::Deserialize;
#[derive(Debug, Deserialize)]
struct Record {
name: String,
place: String,
#[serde(deserialize_with = " csv::invalid_option" )]
id: Option< u64> ,
}
use csv::ReaderBuilder;
fn main() -> Result< (), Error> {
let data = " name\tplace\tid
Mark\tMelbourne\t46
Ashley\tZurich\t92" ;
let mut reader = ReaderBuilder::new().delimiter(b'\t').from_reader(data.as_bytes());
for result in reader.deserialize::< Record> () {
println!(" {:?}" , result?);
}
Ok(())
}
< / code > < / pre > < / pre >
< h3 id = "基于给定条件来过滤-csv-记录" > < a class = "header" href = "#基于给定条件来过滤-csv-记录" > 基于给定条件来过滤 CSV 记录< / a > < / h3 >
< pre > < pre class = "playground" > < code class = "language-rust editable edition2021" > use error_chain::error_chain;
use std::io;
error_chain!{
foreign_links {
Io(std::io::Error);
CsvError(csv::Error);
}
}
fn main() -> Result< ()> {
let query = " CA" ;
let data = " \
City,State,Population,Latitude,Longitude
Kenai,AK,7610,60.5544444,-151.2583333
Oakman,AL,,33.7133333,-87.3886111
Sandfort,AL,,32.3380556,-85.2233333
West Hollywood,CA,37031,34.0900000,-118.3608333" ;
let mut rdr = csv::ReaderBuilder::new().from_reader(data.as_bytes());
let mut wtr = csv::Writer::from_writer(io::stdout());
wtr.write_record(rdr.headers()?)?;
for result in rdr.records() {
let record = result?;
if record.iter().any(|field| field == query) {
wtr.write_record(& record)?;
}
}
wtr.flush()?;
Ok(())
}
< / code > < / pre > < / pre >
< h3 id = "序列化为-csv" > < a class = "header" href = "#序列化为-csv" > 序列化为 CSV< / a > < / h3 >
< p > 下面例子展示了如何将 Rust 类型序列化为 CSV。< / p >
< pre > < pre class = "playground" > < code class = "language-rust editable edition2021" > use std::io;
fn main() -> Result< ()> {
let mut wtr = csv::Writer::from_writer(io::stdout());
wtr.write_record(& [" Name" , " Place" , " ID" ])?;
wtr.serialize((" Mark" , " Sydney" , 87))?;
wtr.serialize((" Ashley" , " Dublin" , 32))?;
wtr.serialize((" Akshat" , " Delhi" , 11))?;
wtr.flush()?;
Ok(())
}
< / code > < / pre > < / pre >
< h3 id = "使用-serde-序列化为-csv" > < a class = "header" href = "#使用-serde-序列化为-csv" > 使用 serde 序列化为 CSV< / a > < / h3 >
< p > 下面例子将自定义数据结构通过 < code > serde< / code > 序列化 CSV。< / p >
< pre > < pre class = "playground" > < code class = "language-rust editable edition2021" > use error_chain::error_chain;
use serde::Serialize;
use std::io;
error_chain! {
foreign_links {
IOError(std::io::Error);
CSVError(csv::Error);
}
}
#[derive(Serialize)]
struct Record< 'a> {
name: & 'a str,
place: & 'a str,
id: u64,
}
fn main() -> Result< ()> {
let mut wtr = csv::Writer::from_writer(io::stdout());
let rec1 = Record { name: " Mark" , place: " Melbourne" , id: 56};
let rec2 = Record { name: " Ashley" , place: " Sydney" , id: 64};
let rec3 = Record { name: " Akshat" , place: " Delhi" , id: 98};
wtr.serialize(rec1)?;
wtr.serialize(rec2)?;
wtr.serialize(rec3)?;
wtr.flush()?;
Ok(())
}
< / code > < / pre > < / pre >
< h3 id = "csv-列转换" > < a class = "header" href = "#csv-列转换" > CSV 列转换< / a > < / h3 >
< p > 下面代码将包含有颜色名和十六进制颜色的 CSV 文件转换为包含颜色名和 rgb 颜色。这里使用 < code > csv< / code > 包对 CSV 文件进行读写,然后用 < code > serde< / code > 进行序列化和反序列化。< / p >
< pre > < pre class = "playground" > < code class = "language-rust editable edition2021" > < span class = "boring" > use error_chain::error_chain;
< / span > use csv::{Reader, Writer};
use serde::{de, Deserialize, Deserializer};
use std::str::FromStr;
< span class = "boring" > error_chain! {
< / span > < span class = "boring" > foreign_links {
< / span > < span class = "boring" > CsvError(csv::Error);
< / span > < span class = "boring" > ParseInt(std::num::ParseIntError);
< / span > < span class = "boring" > CsvInnerError(csv::IntoInnerError< Writer< Vec< u8> > > );
< / span > < span class = "boring" > IO(std::fmt::Error);
< / span > < span class = "boring" > UTF8(std::string::FromUtf8Error);
< / span > < span class = "boring" > }
< / span > < span class = "boring" > }
< / span >
#[derive(Debug)]
struct HexColor {
red: u8,
green: u8,
blue: u8,
}
#[derive(Debug, Deserialize)]
struct Row {
color_name: String,
color: HexColor,
}
impl FromStr for HexColor {
type Err = Error;
fn from_str(hex_color: & str) -> std::result::Result< Self, Self::Err> {
let trimmed = hex_color.trim_matches('#');
if trimmed.len() != 6 {
Err(" Invalid length of hex string" .into())
} else {
Ok(HexColor {
red: u8::from_str_radix(& trimmed[..2], 16)?,
green: u8::from_str_radix(& trimmed[2..4], 16)?,
blue: u8::from_str_radix(& trimmed[4..6], 16)?,
})
}
}
}
impl< 'de> Deserialize< 'de> for HexColor {
fn deserialize< D> (deserializer: D) -> std::result::Result< Self, D::Error>
where
D: Deserializer< 'de> ,
{
let s = String::deserialize(deserializer)?;
FromStr::from_str(& s).map_err(de::Error::custom)
}
}
fn main() -> Result< ()> {
let data = " color_name,color
red,#ff0000
green,#00ff00
blue,#0000FF
periwinkle,#ccccff
magenta,#ff00ff"
.to_owned();
let mut out = Writer::from_writer(vec![]);
let mut reader = Reader::from_reader(data.as_bytes());
for result in reader.deserialize::< Row> () {
let res = result?;
out.serialize((
res.color_name,
res.color.red,
res.color.green,
res.color.blue,
))?;
}
let written = String::from_utf8(out.into_inner()?)?;
assert_eq!(Some(" magenta,255,0,255" ), written.lines().last());
println!(" {}" , written);
Ok(())
}
< / code > < / pre > < / pre >
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< script src = "../book.js" type = "text/javascript" charset = "utf-8" > < / script >
< script type = "text/javascript" charset = "utf-8" >
var pagePath = "encoding/csv.md"
< / script >
<!-- Custom JS scripts -->
< script type = "text/javascript" src = "../assets/custom1.js" > < / script >
< script type = "text/javascript" src = "../assets/bigPicture.js" > < / script >
< / body >
< / html >