Struct CsvDataset 

pub struct CsvDataset<'a> {
    pub names: Vec<ColName>,
    pub values: Vec<Vec<CsvAny>>,
    pub null_values: NullValues<'a>,
    pub info: Vec<ColumnInfo>,
}

This is a form to represent the dataset which does not deep typization but can still be usefull, also info field holds some info about the types for each column

Fields

names: Vec<ColName>

values: Vec<Vec<CsvAny>>

null_values: NullValues<'a>

info: Vec<ColumnInfo>

Implementations

impl<'a> CsvDataset<'a>

pub fn push(&mut self, col_name: &str, col_values: Vec<CsvAny>)

Lenght of column values are not checked, so every column can have different lenght, be aware of row indexing

pub fn new<R: Read>(reader: Reader<R>, null_values: NullValues<'a>) -> Self

pub fn view_names_and_values(&self) -> ValueNamesView<'_>

pub fn split_view_and_info( &mut self, ) -> (ValueNamesView<'_>, &mut Vec<ColumnInfo>)

pub fn populate_column_infos(dataset: &mut Self)

Analyze every cell in the csv file to extract every unique value

Trait Implementations

impl<'a> Debug for CsvDataset<'a>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'a> Default for CsvDataset<'a>

fn default() -> CsvDataset<'a>

Returns the “default value” for a type.