BasedTab

Based Tabular Data

Usage

Installation

For development:

git clone https://github.com/AnswerDotAI/basedtab.git
pip install -e .

Install latest from the GitHub repository:

$ pip install git+https://github.com/AnswerDotAI/basedtab.git

or from conda

$ conda install -c AnswerDotAI basedtab

or from pypi

$ pip install basedtab

How to use

from basedtab.core import *
from nbdev.config import get_config

data_path = str(get_config().config_path/'data/toy.csv')
bf = BFrame.read_csv(data_path)
bf.head(3).df

	Number	City	Gender	Age	Income	Illness
0	1	Dallas	Male	41	40367.0	No
1	2	Dallas	Male	54	45084.0	No
2	3	Dallas	Male	42	52483.0	No

from basedpl import add, tally, square
MEAN = add.reduce_first / tally
bf.groupby("City", "Income", mean=MEAN).df.astype(int)

		Income
0	mean	45252
1	mean	96857
2	mean	95264
3	mean	135078
4	mean	91554
5	mean	70991
6	mean	100756
7	mean	90277

RMSE = MEAN.under(square)
bf.head(100).groupby("Gender", ["Age", "Income"], mean=MEAN, rmse=RMSE)

┌→───────────────────────────┐
↓0⌷                          │
↓             Age      Income│
│mean 44.57407407 48301.42593│
│rmse 45.66970793 49632.10639│
│                            │
│1⌷                          │
│             Age      Income│
│mean 45.30434783 39739.36957│
│rmse 46.73468128 40738.65853│
└~───────────────────────────┘

bf["Income"].hist()