ickle 1.0.1

Tiny Data Analysis Library

📈 Ickle - Data Analysis Library

A tiny data analysis library for common day-to-day analytical tasks. Written in Python, for Python.

Installation

Ickle can be installed via pip through PyPi

pip install ickle

Getting Started

DataFrame

A DataFrame holds two dimensional heterogenous data. It accepts dictionary as input, with Numpy arrays as values and strings as column names.

import numpy as np
import ickle as ick

name = np.array(['John', 'Sam', 'Tina', 'Josh', 'Jack', 'Jill'])
place = np.array(['Kolkata', 'Mumbai', 'Delhi', 'Mumbai', 'Mumbai', 'Mumbai'])
weight = np.array([57, 70, 54, 59, 62, 70])
married = np.array([True, False, True, False, False, False])

data = {'name': name, 'place': place, 'weight': weight, 'married': married}
df = ick.DataFrame(data)

You can use ickle easily in Jupyter Notebooks

Documentation

Read the documentation here

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Copyright 2022 Karishma Shukla