Package index

Import data

read_csv_polars() scan_csv_polars()

Import data from CSV file(s)

read_ipc_polars() scan_ipc_polars()

Import data from IPC file(s)

read_ndjson_polars() scan_ndjson_polars()

Import data from NDJSON file(s)

read_parquet_polars() scan_parquet_polars()

Import data from Parquet file(s)

Export data

sink_csv()

Stream output to a CSV file

sink_ipc()

Stream output to an IPC file

sink_ndjson()

Stream output to a NDJSON file

sink_parquet()

Stream output to a parquet file

write_csv_polars()

Export data to CSV file(s)

write_ipc_polars()

Export data to IPC file(s)

write_json_polars()

Export data to JSON file(s)

write_ndjson_polars()

Export data to NDJSON file(s)

write_parquet_polars()

Export data to Parquet file(s)

Functions from dplyr

count(<polars_data_frame>) tally(<polars_data_frame>) count(<polars_lazy_frame>) tally(<polars_lazy_frame>) add_count(<polars_data_frame>) add_count(<polars_lazy_frame>)

Count the observations in each group

semi_join(<polars_data_frame>) anti_join(<polars_data_frame>) semi_join(<polars_lazy_frame>) anti_join(<polars_lazy_frame>)

Filtering joins

arrange(<polars_data_frame>)

Order rows using column values

bind_cols_polars()

Append multiple Data/LazyFrames next to each other

bind_rows_polars()

Stack multiple Data/LazyFrames on top of each other

compute(<polars_lazy_frame>) collect(<polars_lazy_frame>)

Run computations on a LazyFrame

cross_join(<polars_data_frame>) cross_join(<polars_lazy_frame>)

Cross join

distinct(<polars_data_frame>) distinct(<polars_lazy_frame>) duplicated_rows()

Remove or keep only duplicated rows in a Data/LazyFrame

explain(<polars_lazy_frame>)

Show the optimized and non-optimized query plans

filter(<polars_data_frame>) filter(<polars_lazy_frame>)

Keep rows that match a condition

left_join(<polars_data_frame>) right_join(<polars_data_frame>) full_join(<polars_data_frame>) inner_join(<polars_data_frame>) left_join(<polars_lazy_frame>) right_join(<polars_lazy_frame>) full_join(<polars_lazy_frame>) inner_join(<polars_lazy_frame>)

Mutating joins

group_by(<polars_data_frame>) ungroup(<polars_data_frame>) group_by(<polars_lazy_frame>) ungroup(<polars_lazy_frame>)

Group by one or more variables

group_split(<polars_data_frame>)

Grouping metadata

group_vars(<polars_data_frame>) group_vars(<polars_lazy_frame>) group_keys(<polars_data_frame>) group_keys(<polars_lazy_frame>)

Grouping metadata

mutate(<polars_data_frame>) mutate(<polars_lazy_frame>)

Create, modify, and delete columns

pull(<polars_data_frame>) pull(<polars_lazy_frame>)

Extract a variable of a Data/LazyFrame

relocate(<polars_data_frame>) relocate(<polars_lazy_frame>)

Change column order

rename(<polars_data_frame>) rename(<polars_lazy_frame>) rename_with(<polars_data_frame>) rename_with(<polars_lazy_frame>)

Rename columns

rowwise(<polars_data_frame>) rowwise(<polars_lazy_frame>)

Group input by rows

select(<polars_data_frame>) select(<polars_lazy_frame>)

Select columns from a Data/LazyFrame

separate(<polars_data_frame>) separate(<polars_lazy_frame>)

Separate a character column into multiple columns based on a substring

slice_tail(<polars_data_frame>) slice_tail(<polars_lazy_frame>) slice_head(<polars_data_frame>) slice_head(<polars_lazy_frame>) slice_sample(<polars_data_frame>)

Subset rows of a Data/LazyFrame

summarize(<polars_data_frame>) summarise(<polars_data_frame>) summarize(<polars_lazy_frame>) summarise(<polars_lazy_frame>)

Summarize each group down to one row

Functions from tidyr

complete(<polars_data_frame>) complete(<polars_lazy_frame>)

Complete a data frame with missing combinations of data

drop_na(<polars_data_frame>) drop_na(<polars_lazy_frame>)

Drop missing values

fill(<polars_data_frame>)

Fill in missing values with previous or next value

pivot_longer(<polars_data_frame>) pivot_longer(<polars_lazy_frame>)

Pivot a Data/LazyFrame from wide to long

pivot_wider(<polars_data_frame>)

Pivot a DataFrame from long to wide

replace_na(<polars_data_frame>) replace_na(<polars_lazy_frame>)

Replace NAs with specified values

separate(<polars_data_frame>) separate(<polars_lazy_frame>)

Separate a character column into multiple columns based on a substring

uncount(<polars_data_frame>) uncount(<polars_lazy_frame>)

Uncount a Data/LazyFrame

unite(<polars_data_frame>) unite(<polars_lazy_frame>)

Unite multiple columns into one by pasting strings together

Other methods

summary(<polars_data_frame>)

Summary statistics for a Polars DataFrame

tidypolars_options

tidypolars global options

Other Polars functions

describe() deprecated

Summary statistics for a Polars DataFrame

describe_plan() describe_optimized_plan() deprecated

Show the optimized and non-optimized query plans

fetch() deprecated

Fetch n rows of a LazyFrame

make_unique_id()

Create a column with unique id per row values

partition_by_key() partition_by_max_size() experimental

Helper functions to export a LazyFrame as a partitioned output