A simple dataframe implementation using numpy as its basic element

Project description

numpy_table

This project implements a simple implementation of a dataframe using numpy arrays as its basic unit. The goal was to have a syntax simpler than pandas, and be able to use numpy in the columns of the dataframe directly.

Authors and acknowledgment

Carlos Molinero

License

MIT license

Project status

This is a very early stage implementation, I do not recommend using it yet, I have published it for my personal use.

Project details

Release history Release notifications | RSS feed

0.1.7

May 23, 2023

0.1.6

Mar 7, 2023

0.1.5

Dec 1, 2022

0.1.4

Dec 1, 2022

0.1.3

Nov 20, 2022

0.1.2

Nov 18, 2022

0.1.1

Nov 18, 2022

0.1.0

Nov 17, 2022

0.0.8

Nov 4, 2022

0.0.7

Nov 4, 2022

This version

0.0.6

Nov 3, 2022

0.0.5

Nov 3, 2022

0.0.4

Nov 3, 2022

0.0.3

Nov 1, 2022

0.0.2

Nov 1, 2022

0.0.1

Oct 30, 2022

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

numpy_dataframe-0.0.6.tar.gz (4.2 kB view hashes)

Uploaded Nov 3, 2022 Source

Built Distribution

numpy_dataframe-0.0.6-py3-none-any.whl (4.7 kB view hashes)

Uploaded Nov 3, 2022 Python 3

Hashes for numpy_dataframe-0.0.6.tar.gz

Hashes for numpy_dataframe-0.0.6.tar.gz
Algorithm	Hash digest
SHA256	`8270ad71422becbd287c50a9c477921ba68e7303bfc48703c59a0f337c5dd3fb`
MD5	`22a29ad850c74721cceb5035a4b686ac`
BLAKE2b-256	`b72f330d268f3562727b92232e94b1e692db43a692412f5a1cec48246e2cc27e`

Hashes for numpy_dataframe-0.0.6-py3-none-any.whl

Hashes for numpy_dataframe-0.0.6-py3-none-any.whl
Algorithm	Hash digest
SHA256	`164d53092b28bee17563233d8fbc771cd4d1f48468e93a5a053d2d925dc51678`
MD5	`f40522873722887ec5a9f5527ee72c21`
BLAKE2b-256	`aea407acbb804d3a9899208646d1befbd14b1e6cddf2d73a3420bbd1b519ae28`