Struct csvsc::prelude::Column [−][src]
A simple interface for building and adding new columns.
You’ll always start from a column name with_name
and then decide if you
want to build the new column’s value from previous columns or from a
specific one using a regex.
Example
use csvsc::prelude::*; Column::with_name("full name").from_all_previous().definition("{name} {last name}");
Implementations
impl Column
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pub fn with_name(name: &str) -> Column
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Start your new column with a name
pub fn from_all_previous(self) -> MixColumn
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Build the new column’s value from the values of existing columns so far
pub fn from_column(self, name: &str) -> IncompleteRegexColumn
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Build the new column’s value from a single column and a regex that you’ll use to extract some values.
This is very useful for adding data contained in the csv file’s name
that is contained in the _source
column (automatically added).
Example
use csvsc::prelude::*; Column::with_name("year") .from_column("_source") .with_regex("report_([0-9]{4}).csv").unwrap() .definition("$1");
Auto Trait Implementations
impl RefUnwindSafe for Column
impl Send for Column
impl Sync for Column
impl Unpin for Column
impl UnwindSafe for Column
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,