Module 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.
• 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_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_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.
• datetime
  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.
• duration
  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.
• 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().
• time_rangedtype-time
  Generate a time range.
• time_rangesdtype-time
  Create a column of time ranges from a start and stop expression.