Dataframe

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 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 map-batches — Map a custom Nushell closure over one or more dataframe columns.
polars math — Collection of math functions to be applied on column expressions.
polars math abs — Compute the absolute values of a column expression.
polars math bitwise-and — Perform an aggregation of bitwise ANDs over a column expression.
polars math bitwise-count-ones — Compute the number of set bits for each element in an integer column expression.
polars math bitwise-count-zeros — Compute the number of unset bits for each element in an integer column expression.
polars math bitwise-leading-ones — Compute the number of leading set bits for each element in an integer column expression.
polars math bitwise-leading-zeros — Compute the number of leading unset bits for each element in an integer column expression.
polars math bitwise-or — Perform an aggregation of bitwise ORs over a column expression.
polars math bitwise-trailing-ones — Compute the number of trailing set bits for each element in an integer column expression.
polars math bitwise-trailing-zeros — Compute the number of trailing unset bits for each element in an integer column expression.
polars math bitwise-xor — Perform an aggregation of bitwise XORs over a column expression.
polars math cos — Compute the element-wise cosine of a column expression.
polars math dot — Compute the dot product of two column expressions.
polars math exp — Compute element-wise e raised to the power of a column expression.
polars math log — Compute the element-wise logarithm of a column expression.
polars math log1p — Compute the element-wise natural log of 1 + x for a column expression.
polars math sign — Compute the element-wise sign of a column expression, returning -1, 0, or 1.
polars math sin — Compute the element-wise sine of a column expression.
polars math sqrt — Compute the element-wise square root of a column expression.
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 replace-time-zone — Replace the timezone information in a datetime column.
polars reverse — Reverses the LazyFrame
polars rolling — Rolling calculation for a series or expression, or a rolling group-by for a lazyframe.
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 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.
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 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.

← Command Reference polars →