npms-toolkit 0.3.0

Natural language code generator for pandas, numpy, scikit-learn, seaborn and matplotlib — no docs needed.

NPMS Toolkit

A natural language code generator for pandas, numpy, scikit-learn, seaborn and matplotlib — no docs needed.

Install

pip install npms-toolkit

Usage

import npms

# Describe what you want — get the exact code
npms.help("fill missing values in Age with median")
npms.help("train a random forest with 200 trees")
npms.help("plot correlation heatmap")
npms.help("detect outliers using IQR")
npms.help("hyperparameter tuning with grid search")
npms.help("chi square test between Gender and Survived")

# Pass your actual dataframe — uses your real column names
import pandas as pd
df = pd.read_csv("data.csv")
npms.help("fill missing values with median", df)
npms.help("encode categorical columns", df)

# See all available topics
npms.help()

What it covers

Category	Topics
Pandas	info, clean, fill missing, drop, rename, filter, sort, groupby, merge, encode, scale, pivot, rolling, melt, outliers, datetime, string ops, and more
NumPy	arrays, reshape, normalize, dot product, SVD, eigenvalues, broadcasting, linear algebra, and more
Scikit-learn	all ML models, train/test split, evaluate, confusion matrix, cross-validation, grid search, PCA, SMOTE, learning curve, and more
Visualization	heatmap, scatter, histogram, boxplot, pairplot, ROC curve, subplots, 3D plots, and more
Statistics	t-test, chi-square, ANOVA, normality test

Versioning

Version	What's new
0.1.0	Initial release — basic pandas, numpy, sklearn, viz
0.2.0	Advanced queries: rolling windows, outliers, PCA, grid search, SMOTE, statistical tests, 3D plots, SVD, eigenvalues

License

MIT