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