Manipulation/selection

Expr.append(other, *[, upcast])	Append expressions.
Expr.arg_sort(*[, descending, nulls_last])	Get the index values that would sort this column.
Expr.arg_true()	Return indices where expression evaluates True.
Expr.backward_fill([limit])	Fill missing values with the next to be seen values.
Expr.bottom_k([k])	Return the k smallest elements.
Expr.bottom_k_by(by[, k, reverse])	Return the elements corresponding to the k smallest elements of the by column(s).
Expr.cast(dtype, *[, strict, wrap_numerical])	Cast between data types.
Expr.ceil()	Rounds up to the nearest integer value.
Expr.clip([lower_bound, upper_bound])	Set values outside the given boundaries to the boundary value.
Expr.cut(breaks, *[, labels, left_closed, ...])	Bin continuous values into discrete categories.
Expr.drop_nans()	Drop all floating point NaN values.
Expr.drop_nulls()	Drop all null values.
Expr.explode()	Explode a list expression.
Expr.extend_constant(value, n)	Extremely fast method for extending the Series with 'n' copies of a value.
Expr.fill_nan(value)	Fill floating point NaN value with a fill value.
Expr.fill_null([value, strategy, limit])	Fill null values using the specified value or strategy.
Expr.filter(*predicates, **constraints)	Filter the expression based on one or more predicate expressions.
Expr.flatten()	Flatten a list or string column.
Expr.floor()	Rounds down to the nearest integer value.
Expr.forward_fill([limit])	Fill missing values with the latest seen values.
Expr.gather(indices)	Take values by index.
Expr.gather_every(n[, offset])	Take every nth value in the Series and return as a new Series.
Expr.get(index)	Return a single value by index.
Expr.head([n])	Get the first n rows.
Expr.inspect([fmt])	Print the value that this expression evaluates to and pass on the value.
Expr.interpolate([method])	Fill null values using interpolation.
Expr.interpolate_by(by)	Fill null values using interpolation based on another column.
Expr.limit([n])	Get the first n rows (alias for Expr.head()).
Expr.lower_bound()	Calculate the lower bound.
Expr.pipe(function, *args, **kwargs)	Offers a structured way to apply a sequence of user-defined functions (UDFs).
Expr.qcut(quantiles, *[, labels, ...])	Bin continuous values into discrete categories based on their quantiles.
Expr.rechunk()	Create a single chunk of memory for this Series.
Expr.reinterpret(*[, signed])	Reinterpret the underlying bits as a signed/unsigned integer.
Expr.repeat_by(by)	Repeat the elements in this Series as specified in the given expression.
Expr.replace(old[, new, default, return_dtype])	Replace values by different values.
Expr.reshape(dimensions)	Reshape this Expr to a flat column or an Array column.
Expr.reverse()	Reverse the selection.
Expr.rle()	Compress the column data using run-length encoding.
Expr.rle_id()	Get a distinct integer ID for each run of identical values.
Expr.round([decimals])	Round underlying floating point data by decimals digits.
Expr.round_sig_figs(digits)	Round to a number of significant figures.
Expr.sample([n, fraction, with_replacement, ...])	Sample from this expression.
Expr.shift([n, fill_value])	Shift values by the given number of indices.
Expr.shrink_dtype()	Shrink numeric columns to the minimal required datatype.
Expr.shuffle([seed])	Shuffle the contents of this expression.
Expr.slice(offset[, length])	Get a slice of this expression.
Expr.sort(*[, descending, nulls_last])	Sort this column.
Expr.sort_by(by, *more_by[, descending, ...])	Sort this column by the ordering of other columns.
Expr.tail([n])	Get the last n rows.
Expr.to_physical()	Cast to physical representation of the logical dtype.
Expr.top_k([k])	Return the k largest elements.
Expr.top_k_by(by[, k, reverse])	Return the elements corresponding to the k largest elements of the by column(s).
Expr.upper_bound()	Calculate the upper bound.
Expr.where(predicate)	Filter a single column.