[−][src]Crate blackjack
BlackJack strives to be a full featured crate for general data processing.
Long term goal is to create a lightweight Pandas equivalent by and for the Rust community, but with slight differences in focus...
The project strives for a few key principles. When any implementation decisions are to be made, they are made with these principles in mind, and in this order:
- Memory efficiency
- Minimize memory use at every opportunity.
- Usability
- Strive for ergonomics; often done by modeling the
PandasAPI where possible.
- Strive for ergonomics; often done by modeling the
- Speedy
- It comes naturally most times with Rust. :)
Eventually, a Python wrapper: Lumber-Jack associated with this crate, but that time will come.
Example use:
use blackjack::prelude::*; // We have a dataframe, of course... let mut df = DataFrame::new(); // Make some series, of different types let series_i32: Series<i32> = Series::arange(0, 5); let mut series_f64: Series<f64> = Series::from_vec(vec![1.0, 2.0, 3.0, 4.0, 5.0]); // You can set a series name! series_f64.set_name("my-series"); // Or not... assert_eq!(series_i32.name(), None); // And add them to the dataframe df.add_column(series_f64).unwrap(); df.add_column(series_i32).unwrap(); // And then get a reference to a Series let series_f64_ref: &Series<f64> = df.get_column("my-series").unwrap(); // and a lot more...
Modules
| dataframe | DataFrame object and associated functionality |
| enums | Enums to be used throughout the crate. |
| error | The common Error(s) and associated implementations used in within the crate |
| macros | Mostly internal level macros for implementing ops per series type |
| prelude | Default and recommended imports for functionality of crate. |
| row | Representation of a row in a |
| series | Series represents a single column within a |
| traits | Traits to be used throughout the crate |
Macros
| impl_series_by_series_op | Implement series by series operations
ie. |
| impl_series_by_series_op_inplace | Implement various inplace numeric operations for a Series
ie. |
| impl_series_into_iter | Implement |