polars_plan/dsl/functions/syntactic_sugar.rs
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use polars_core::chunked_array::cast::CastOptions;
use super::*;
/// Sum all the values in the column named `name`. Shorthand for `col(name).sum()`.
pub fn sum(name: &str) -> Expr {
col(name).sum()
}
/// Find the minimum of all the values in the column named `name`. Shorthand for `col(name).min()`.
pub fn min(name: &str) -> Expr {
col(name).min()
}
/// Find the maximum of all the values in the column named `name`. Shorthand for `col(name).max()`.
pub fn max(name: &str) -> Expr {
col(name).max()
}
/// Find the mean of all the values in the column named `name`. Shorthand for `col(name).mean()`.
pub fn mean(name: &str) -> Expr {
col(name).mean()
}
/// Find the mean of all the values in the column named `name`. Alias for [`mean`].
pub fn avg(name: &str) -> Expr {
col(name).mean()
}
/// Find the median of all the values in the column named `name`. Shorthand for `col(name).median()`.
pub fn median(name: &str) -> Expr {
col(name).median()
}
/// Find a specific quantile of all the values in the column named `name`.
pub fn quantile(name: &str, quantile: Expr, method: QuantileMethod) -> Expr {
col(name).quantile(quantile, method)
}
/// Negates a boolean column.
pub fn not(expr: Expr) -> Expr {
expr.not()
}
/// A column which is `true` wherever `expr` is null, `false` elsewhere.
pub fn is_null(expr: Expr) -> Expr {
expr.is_null()
}
/// A column which is `false` wherever `expr` is null, `true` elsewhere.
pub fn is_not_null(expr: Expr) -> Expr {
expr.is_not_null()
}
/// Casts the column given by `Expr` to a different type.
///
/// Follows the rules of Rust casting, with the exception that integers and floats can be cast to `DataType::Date` and
/// `DataType::DateTime(_, _)`. A column consisting entirely of `Null` can be cast to any type, regardless of the
/// nominal type of the column.
pub fn cast(expr: Expr, dtype: DataType) -> Expr {
Expr::Cast {
expr: Arc::new(expr),
dtype,
options: CastOptions::NonStrict,
}
}