Package: neopolars 0.0.0.9000
neopolars: R Bindings for the 'polars' Rust Library
Lightning-fast 'DataFrame' library written in 'Rust'. Convert R data to 'Polars' data and vice versa. Perform fast, lazy, larger-than-memory and optimized data queries. 'Polars' is interoperable with the package 'arrow', as both are based on the 'Apache Arrow' Columnar Format.
Authors:
neopolars_0.0.0.9000.tar.gz
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neopolars.pdf |neopolars.html✨
neopolars/json (API)
NEWS
| # Install 'neopolars' in R: |
| install.packages('neopolars', repos = c('https://eitsupi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/eitsupi/neo-r-polars/issues
Last updated 9 hours agofrom:c8cbe9d910. Checks:OK: 1 WARNING: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 07 2024 |
| R-4.5-win-x86_64 | WARNING | Sep 07 2024 |
| R-4.5-linux-x86_64 | WARNING | Sep 07 2024 |
| R-4.4-win-x86_64 | WARNING | Sep 07 2024 |
| R-4.4-mac-x86_64 | WARNING | Sep 07 2024 |
| R-4.4-mac-aarch64 | WARNING | Sep 07 2024 |
| R-4.3-win-x86_64 | WARNING | Sep 07 2024 |
| R-4.3-mac-x86_64 | WARNING | Sep 07 2024 |
| R-4.3-mac-aarch64 | WARNING | Sep 07 2024 |
Exports:as_polars_dfas_polars_expras_polars_seriescsis_polars_data_typeis_polars_dfis_polars_expris_polars_lfis_polars_selectoris_polars_seriespl
Dependencies:rlang
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create a Polars DataFrame from an R object | as_polars_df as_polars_df.data.frame as_polars_df.default as_polars_df.list as_polars_df.polars_data_frame as_polars_df.polars_group_by as_polars_df.polars_lazy_frame as_polars_df.polars_series |
| Create a Polars Series from an R object | as_polars_series as_polars_series.array as_polars_series.AsIs as_polars_series.blob as_polars_series.character as_polars_series.clock_duration as_polars_series.clock_sys_time as_polars_series.clock_time_point as_polars_series.clock_zoned_time as_polars_series.data.frame as_polars_series.Date as_polars_series.default as_polars_series.difftime as_polars_series.double as_polars_series.factor as_polars_series.hms as_polars_series.integer as_polars_series.integer64 as_polars_series.list as_polars_series.logical as_polars_series.NULL as_polars_series.polars_data_frame as_polars_series.polars_series as_polars_series.POSIXct as_polars_series.raw as_polars_series.vctrs_rcrd as_polars_series.vctrs_unspecified |
| Export the polars object as a tibble data frame | as_tibble.polars_data_frame |
| Export the polars object as an R DataFrame | as.data.frame.polars_data_frame |
| Export the polars object as an R list | as.list.polars_data_frame |
| Polars column selector function namespace | cs |
| Get the DataFrame as a List of Series | dataframe__get_columns |
| Export the polars DataFrame as an R list of R vectors | dataframe__to_r_list |
| Replace time zone for an expression of type Datetime | expr_dt_replace_time_zone |
| Materialize this LazyFrame into a DataFrame | lazyframe__collect |
| Polars top-level function namespace | pl |
| Polars DataFrame class ('polars_data_frame') | DataFrame pl__DataFrame polars_data_frame |
| Polars LazyFrame class ('polars_lazy_frame') | LazyFrame plars_lazy_frame pl__LazyFrame |
| Polars Series class ('polars_series') | pl__Series polars_series Series |
| Registering custom functionality with a polars Series | pl_api_register_series_namespace |
| Export the Series as an R vector | series__to_r_vector |
