On Friday, 22 November 2024 at 09:53:04 UTC, tastyminerals wrote:
On Tuesday, 29 October 2024 at 16:11:08 UTC, Aravinda VK wrote:
Hello everyone,
I am happy to share my DataFrame library for D. My primary
focus was to make it simple to use and I haven't spent a lot
of time optimizing the code for memory and performance.
[...]
Cool, something that is definitely missing in D is a native
data frame library.
I have a question that can be also a suggestion. Why don't you
use **mir-algorithm** library instead?
Thanks for the feedback. Nothing against mir-algorithm but I
haven't used it.
For one of my use case, I started storing each fields as
different array. This really enhanced the experience of columnar
operations. Later, I searched for a DataFrame library but I
couldn't find any.
I found the idea of storing each fields of a struct as
independent array instead of storing array of struct very
interesting. I started the DataFrame project. The API is very
simple to use, given a struct, a new DataFrame class will be
created with each field of input Struct as array of same type.
For example, `double amount` of input struct will be `double[]
amount` in the DataFrame class.
All Column based operations are equivalent to doing array
operations using D standard library. For example,
`df.amount.maxElement` or `df.amount.sum`.
Please check the project README
(https://github.com/aravindavk/dataframes-d) for usage details.
Made the new release with couple of enhancements:
- Column!T.data is changed to Column!T.values (`1.0.1`)
- Added support to create a new DataFrame from the list of the
rows or from a DataFrame. (`1.0.1`)
- Make Column and Row type available after import dataframes
(`1.0.2`)
- Add support to add/subtract/multiply/divide numeric to Column
(`1.0.3`)
- Add head and tail methods and update the documentation (`1.0.3`)
- Add support to access column by label and index (`1.0.3`)
