Module functions 

Functions

Function on multiple expressions.

Structs

ChainedThen

Utility struct for the when-then-otherwise expression.

ChainedWhen

Utility struct for the when-then-otherwise expression.

DatetimeArgs

Arguments used by datetime in order to produce an Expr of Datetime

DurationArgs

Arguments used by duration in order to produce an Expr of Duration

Then

Utility struct for the when-then-otherwise expression.

When

Utility struct for the when-then-otherwise expression.

Functions

all

Selects all columns.

all_horizontal

Create a new column with the bitwise-and of the elements in each row.

any_horizontal

Create a new column with the bitwise-or of the elements in each row.

arange

Generate a range of integers.

arg_sort_byrange

Find the indexes that would sort these series in order of appearance.

arg_wherearg_where

Get the indices where condition evaluates true.

as_struct

Take several expressions and collect them into a StructChunked.

avg

Find the mean of all the values in the column named name. Alias for mean.

binary_expr

Compute op(l, r) (or equivalently l op r). l and r must have types compatible with the Operator.

business_day_countdtype-date

by_name

Select multiple columns by dtype.

cast

Casts the column given by Expr to a different type.

coalesce

Folds the expressions from left to right keeping the first non-null values.

col

Create a Column Expression based on a column name.

cols

Select multiple columns by name.

concat

Concat multiple LazyFrames vertically.

concat_arr

Horizontally concatenate columns into a single array-type column.

concat_expr

concat_lf_diagonaldiagonal_concat

Concat LazyFrames diagonally. Calls concat internally.

concat_lf_horizontal

Concat LazyFrames horizontally.

concat_list

Concat lists entries.

concat_strconcat_str and strings

Horizontally concat string columns in linear time

cov

Compute the covariance between two columns.

cum_fold_exprsdtype-struct

Accumulate over multiple columns horizontally / row wise.

cum_reduce_exprsdtype-struct

Accumulate over multiple columns horizontally / row wise.

date_rangedtype-date

Create a date range column from start, end, and interval, and expressions.

date_rangesdtype-date

Create a column of date ranges from start, end, interval, and num_samples expressions.

datetime

Construct a column of Datetime from the provided DatetimeArgs.

datetime_rangedtype-datetime

Create a datetime range from start, end, interval, and num_samples expressions.

datetime_rangesdtype-datetime

Create a column of datetime ranges from start, end, interval, and num_samples expressions.

dtype_col

Select multiple columns by dtype.

dtype_cols

Select multiple columns by dtype.

durationdtype-duration

Construct a column of Duration from the provided DurationArgs

element

empty

Selects no columns.

first

First column in a DataFrame.

fold_exprs

Accumulate over multiple columns horizontally / row wise.

format_strconcat_str and strings

Format the results of an array of expressions using a format string

index_cols

Select multiple columns by index.

int_range

Generate a range of integers.

int_ranges

Generate a range of integers for each row of the input columns.

is_not_null

A column which is false wherever expr is null, true elsewhere.

is_null

A column which is true wherever expr is null, false elsewhere.

last

Last column in a DataFrame.

len

Return the number of rows in the context.

linear_space

Generate a series of equally-spaced points.

linear_spaces

Create a column of linearly-spaced sequences from ‘start’, ‘end’, and ‘num_samples’ expressions.

lit

Create a Literal Expression from L. A literal expression behaves like a column that contains a single distinct value.

max

Find the maximum of all the values in the column named name. Shorthand for col(name).max().

max_horizontal

Create a new column with the maximum value per row.

mean

Find the mean of all the values in the column named name. Shorthand for col(name).mean().

mean_horizontal

Compute the mean of all values horizontally across columns.

median

Find the median of all the values in the column named name. Shorthand for col(name).median().

min

Find the minimum of all the values in the column named name. Shorthand for col(name).min().

min_horizontal

Create a new column with the minimum value per row.

not

Negates a boolean column.

nth

Nth column in a DataFrame.

pearson_corr

Compute the pearson correlation between two columns.

quantile

Find a specific quantile of all the values in the column named name.

reduce_exprs

Analogous to Iterator::reduce.

repeat

Create a column of length n containing n copies of the literal value.

rolling_corrrolling_window and cov

rolling_covrolling_window and cov

spearman_rank_corrrank and propagate_nans

Compute the spearman rank correlation between two columns. Missing data will be excluded from the computation.

sum

Sum all the values in the column named name. Shorthand for col(name).sum().

sum_horizontal

Sum all values horizontally across columns.

ternary_expr

time_rangedtype-time

Generate a time range.

time_rangesdtype-time

Create a column of time ranges from a start and stop expression.

when

Start a when-then-otherwise expression.