smilo

A beginner-friendly Python data analysis library for cleaning, splitting, exploring, and visualizing data.

Installation

pip install smilo

Usage

from smilo.clean import remove_nulls from smilo.split import train_test_split from smilo.stats import mean, median, standard_deviation from smilo.utils import load_csv, dataset_info from smilo.viz import quick_hist

data = [1, None, 2, None, 3] clean_data = remove_nulls(data) print(clean_data) # [1, 2, 3]

train, test = train_test_split([1,2,3,4,5,6,7,8,9,10], test_size=0.2, seed=42)

print(mean([1, 2, 3, 4, 5])) # 3.0

Modules

• clean.py — remove_nulls, fill_nulls, remove_duplicates, remove_empty_strings
• split.py — train_test_split, k_fold_split
• stats.py — mean, median, mode, minimum, maximum, data_range, total, count, variance, standard_deviation
• utils.py — load_csv, dataset_info, column_types
• viz.py — quick_hist, quick_corr

License

MIT