Module polars_lazy::dsl::functions

Functions

Function on multiple expressions.

Structs

• 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

Functions

• all
  Selects all columns. Shorthand for col("*").
• 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.
• apply_binary
  Like map_binary, but used in a group_by-aggregation context.
• arange
  Generate a range of integers.
• arg_sort_byrange
  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.
• 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.
• 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.
• collect_all
  Collect all LazyFrame computations.
• cols
  Select multiple columns by name.
• concat
  Concat multiple LazyFrames vertically.
• 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_rangetemporal
  Create a date range from a start and stop expression.
• date_rangestemporal
  Create a column of date ranges from a start and stop expression.
• datetimetemporal
  Construct a column of Datetime from the provided DatetimeArgs.
• datetime_rangedtype-datetime
  Create a datetime range from a start and stop expression.
• datetime_rangesdtype-datetime
  Create a column of datetime ranges from a start and stop expression.
• dtype_col
  Select multiple columns by dtype.
• dtype_cols
  Select multiple columns by dtype.
• durationtemporal
  Construct a column of Duration from the provided DurationArgs
• 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.
• map_binary
  Apply a closure on the two columns that are evaluated from Expr a and Expr b.
• max
  Find the maximum of all the values in the column named name. Shorthand for col(name).max().
• mean
  Find the mean of all the values in the column named name. Shorthand for col(name).mean().
• 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().
• not
  Negates a boolean column.
• 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. Generally you won’t need this function, as lit(value) already represents a column containing only value whose length is automatically set to the correct number of rows.
• rolling_corrrolling_window
• rolling_covrolling_window
• 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().
• time_rangedtype-time
  Generate a time range.
• time_rangesdtype-time
  Create a column of time ranges from a start and stop expression.