Module polars_lazy::dsl
source · [−]Expand description
Domain specific language for the Lazy api.
Re-exports
Modules
Structs
Wrapper type that indicates that the inner type is not equal to anything
Intermediate state of when(..).then(..).otherwise(..)
expr.
Intermediate state of when(..).then(..).otherwise(..)
expr.
Intermediate state of chain when then exprs.
Enums
Traits
A wrapper trait for any binary closure Fn(Series, Series) -> Result<Series>
A wrapper trait for any closure Fn(Vec<Series>) -> Result<Series>
Functions
Selects all columns
Evaluate all the expressions with a bitwise and
Evaluate all the expressions with a bitwise or
Apply a function/closure over the groups of multiple columns. This should only be used in a groupby aggregation.
Create list entries that are range arrays
Find the indexes that would sort these series in order of appearance.
That means that the first Series
will be used to determine the ordering
until duplicates are found. Once duplicates are found, the next Series
will
be used and so on.
Take several expressions and collect them into a StructChunked
.
Find the mean of all the values in this Expression.
Create a Column Expression based on a column name.
Collect all LazyFrame
computations.
Select multiple columns by name
Concat multiple
Concat lists entries.
Horizontally concat string columns in linear time
Count expression
Compute the covariance between two columns.
Select multiple columns by dtype.
Select multiple columns by dtype.
First column in DataFrame
Accumulate over multiple columns horizontally / row wise.
IsNotNull expression.
Last column in DataFrame
Create a Literal Expression from L
Apply a closure on the two columns that are evaluated from Expr
a and Expr
b.
Apply a function/closure over multiple columns once the logical plan get executed.
Apply a function/closure over multiple columns once the logical plan get executed.
Find the maximum of all the values in this Expression.
Get the the maximum value per row
Find the mean of all the values in this Expression.
Find the median of all the values in this Expression.
Find the minimum of all the values in this Expression.
Get the the minimum value per row
Compute the pearson correlation between two columns.
Find a specific quantile of all the values in this Expression.
Create a range literal.
Compute the spearman rank correlation between two columns.
Sum all the values in this Expression.
Get the the sum of the values per row
Start a when-then-otherwise expression