Dataframe

Command	Description
polars	Operate with data in a dataframe format.
polars agg-groups	Creates an agg_groups expression.
polars all-false	Returns true if all values are false.
polars all-true	Returns true if all values are true.
polars append	Appends a new dataframe.
polars arg-max	Return index for max value in series.
polars arg-min	Return index for min value in series.
polars arg-sort	Returns indexes for a sorted series.
polars arg-true	Returns indexes where values are true.
polars arg-unique	Returns indexes for unique values.
polars as-date	Converts string to date.
polars as-datetime	Converts string to datetime.
polars cache	Caches operations in a new LazyFrame.
polars cast	Cast a column to a different dtype.
polars columns	Show dataframe columns.
polars concat	Concatenate two or more dataframes.
polars contains	Checks if a pattern is contained in a string.
polars convert-time-zone	Convert datetime to target timezone.
polars count	Returns the number of non-null values in the column.
polars count-null	Counts null values.
polars cumulative	Cumulative calculation for a column or series.
polars cut	Bin continuous values into discrete categories for a series.
polars decimal	Converts a string column into a decimal column
polars drop	Creates a new dataframe by dropping the selected columns.
polars drop-duplicates	Drops duplicate values in dataframe.
polars drop-nulls	Drops null values in dataframe.
polars dummies	Creates a new dataframe with dummy variables.
polars entropy	Compute the entropy as `-sum(pk * log(pk))` where `pk` are discrete probabilities.
polars expr-not	Creates a not expression.
polars filter-with	Filters dataframe using a mask or expression as reference.
polars first	Show only the first number of rows or create a first expression
polars get	Creates dataframe with the selected columns.
polars get-day	Gets day from date.
polars get-hour	Gets hour from datetime.
polars get-minute	Gets minute from date.
polars get-month	Gets month from date.
polars get-nanosecond	Gets nanosecond from date.
polars get-ordinal	Gets ordinal from date.
polars get-second	Gets second from date.
polars get-week	Gets week from date.
polars get-weekday	Gets weekday from date.
polars get-year	Gets year from date.
polars implode	Aggregates values into a list.
polars integer	Converts a string column into a integer column
polars into-df	Converts a list, table or record into a dataframe.
polars into-dtype	Convert a string to a specific datatype.
polars into-nu	Converts a dataframe or an expression into nushell value for access and exploration.
polars into-repr	Display a dataframe in its repr format.
polars into-schema	Convert a value to a polars schema object
polars is-duplicated	Creates mask indicating duplicated values.
polars is-not-null	Creates mask where value is not null.
polars is-null	Creates mask where value is null.
polars is-unique	Creates mask indicating unique values.
polars last	Creates new dataframe with tail rows or creates a last expression.
polars len	Return the number of rows in the context. This is similar to COUNT(*) in SQL.
polars list-contains	Checks if an element is contained in a list.
polars lowercase	Lowercase the strings in the column.
polars math	Collection of math functions to be applied on one or more column expressions
polars max	Creates a max expression or aggregates columns to their max value.
polars mean	Creates a mean expression for an aggregation or aggregates columns to their mean value.
polars min	Creates a min expression or aggregates columns to their min value.
polars n-unique	Counts unique values.
polars not	Inverts boolean mask.
polars open	Opens CSV, JSON, NDJSON/JSON lines, arrow, avro, or parquet file to create dataframe. A lazy dataframe will be created by default, if supported.
polars pivot	Pivot a DataFrame from long to wide format.
polars profile	Profile a lazy dataframe.
polars qcut	Bin continuous values into discrete categories based on their quantiles for a series.
polars query	Query dataframe using SQL. Note: The dataframe is always named 'df' in your query's from clause.
polars rename	Rename a dataframe column.
polars replace-time-zone	Replace the timezone information in a datetime column.
polars reverse	Reverses the LazyFrame
polars rolling	Rolling calculation for a series.
polars sample	Create sample dataframe.
polars schema	Show schema for a dataframe.
polars set	Sets value where given mask is true.
polars set-with-idx	Sets value in the given index.
polars shape	Shows column and row size for a dataframe.
polars shift	Shifts the values by a given period.
polars slice	Creates new dataframe from a slice of rows.
polars std	Creates a std expression for an aggregation of std value from columns in a dataframe.
polars store-get	Gets a Dataframe or other object from the plugin cache.
polars store-ls	Lists stored polars objects.
polars store-rm	Removes a stored Dataframe or other object from the plugin cache.
polars str-join	Concatenates strings within a column or dataframes
polars str-lengths	Get lengths of all strings.
polars str-replace	Replace the leftmost (sub)string by a regex pattern.
polars str-replace-all	Replace all (sub)strings by a regex pattern.
polars str-slice	Slices the string from the start position until the selected length.
polars str-split	Split the string by a substring. The resulting dtype is list<str>.
polars str-strip-chars	Strips specified characters from strings in a column
polars strftime	Formats date based on string rule.
polars struct-json-encode	Convert this struct to a string column with json values.
polars sum	Creates a sum expression for an aggregation or aggregates columns to their sum value.
polars summary	For a dataframe, produces descriptive statistics (summary statistics) for its numeric columns.
polars take	Creates new dataframe using the given indices.
polars unique	Returns unique values from a dataframe.
polars unnest	Decompose struct columns into separate columns for each of their fields. The new columns will be inserted into the dataframe at the location of the struct column.
polars unpivot	Unpivot a DataFrame from wide to long format.
polars uppercase	Uppercase the strings in the column.
polars value-counts	Returns a dataframe with the counts for unique values in series.
polars var	Create a var expression for an aggregation.
polars with-column	Adds a series to the dataframe.