Manipulation/selection

LazyFrame.approx_n_unique()	Approximate count of unique values.
LazyFrame.bottom_k(k, *, by[, reverse])	Return the k smallest rows.
LazyFrame.cast(dtypes, *[, strict])	Cast LazyFrame column(s) to the specified dtype(s).
LazyFrame.clear([n])	Create an empty copy of the current LazyFrame, with zero to 'n' rows.
LazyFrame.clone()	Create a copy of this LazyFrame.
LazyFrame.drop(*columns)	Remove columns from the DataFrame.
LazyFrame.drop_nulls([subset])	Drop all rows that contain null values.
LazyFrame.explode(columns, *more_columns)	Explode the DataFrame to long format by exploding the given columns.
LazyFrame.fill_nan(value)	Fill floating point NaN values.
LazyFrame.fill_null([value, strategy, ...])	Fill null values using the specified value or strategy.
LazyFrame.filter(*predicates, **constraints)	Filter the rows in the LazyFrame based on a predicate expression.
LazyFrame.first()	Get the first row of the DataFrame.
LazyFrame.gather_every(n[, offset])	Take every nth row in the LazyFrame and return as a new LazyFrame.
LazyFrame.group_by(*by[, maintain_order])	Start a group by operation.
LazyFrame.group_by_dynamic(index_column, *, ...)	Group based on a time value (or index value of type Int32, Int64).
LazyFrame.head([n])	Get the first n rows.
LazyFrame.inspect([fmt])	Inspect a node in the computation graph.
LazyFrame.interpolate()	Interpolate intermediate values.
LazyFrame.join(other[, on, how, left_on, ...])	Add a join operation to the Logical Plan.
LazyFrame.join_asof(other, *[, left_on, ...])	Perform an asof join.
LazyFrame.last()	Get the last row of the DataFrame.
LazyFrame.limit([n])	Get the first n rows.
LazyFrame.melt([id_vars, value_vars, ...])	Unpivot a DataFrame from wide to long format.
LazyFrame.merge_sorted(other, key)	Take two sorted DataFrames and merge them by the sorted key.
LazyFrame.rename(mapping)	Rename column names.
LazyFrame.reverse()	Reverse the DataFrame.
LazyFrame.rolling(index_column, *, period[, ...])	Create rolling groups based on a temporal or integer column.
LazyFrame.select(*exprs, **named_exprs)	Select columns from this LazyFrame.
LazyFrame.select_seq(*exprs, **named_exprs)	Select columns from this LazyFrame.
LazyFrame.set_sorted(column, *[, descending])	Indicate that one or multiple columns are sorted.
LazyFrame.shift([n, fill_value])	Shift values by the given number of indices.
LazyFrame.slice(offset[, length])	Get a slice of this DataFrame.
LazyFrame.sort(by, *more_by[, descending, ...])	Sort the LazyFrame by the given columns.
LazyFrame.sql(query, *[, table_name])	Execute a SQL query against the LazyFrame.
LazyFrame.tail([n])	Get the last n rows.
LazyFrame.top_k(k, *, by[, reverse])	Return the k largest rows.
LazyFrame.unique([subset, keep, maintain_order])	Drop duplicate rows from this DataFrame.
LazyFrame.unnest(columns, *more_columns)	Decompose struct columns into separate columns for each of their fields.
LazyFrame.update(other[, on, how, left_on, ...])	Update the values in this LazyFrame with the values in other.
LazyFrame.with_columns(*exprs, **named_exprs)	Add columns to this LazyFrame.
LazyFrame.with_columns_seq(*exprs, **named_exprs)	Add columns to this LazyFrame.
LazyFrame.with_context(other)	Add an external context to the computation graph.
LazyFrame.with_row_count([name, offset])	Add a column at index 0 that counts the rows.
LazyFrame.with_row_index([name, offset])	Add a row index as the first column in the LazyFrame.