vizutils 0.1.1

A library for creating visualizations for data analysis.

VizUtils

VizUtils is a Python library that simplifies the creation of various types of visualizations, ranging from basic plots to advanced and interactive visualizations. Whether you're performing exploratory data analysis or presenting insights, VizUtils provides an easy-to-use interface for generating insightful plots.

Features

• Basic Plots: Create common visualizations like bar plots, histograms, line plots, and scatter plots with minimal code.

Below are examples of how to use different features of VizUtils.

from vizutils.basic_plots import bar_plot, histogram, line_plot, scatter_plot import pandas as pd

Load your dataset

df = pd.read_csv("data.csv")

Bar Plot

bar_plot(df, x='category', y='values', title='Category vs Values')

Histogram

histogram(df['values'], bins=15, title='Value Distribution')

Line Plot

line_plot(df, x='date', y='values', title='Values Over Time')

Scatter Plot

scatter_plot(df, x='feature1', y='feature2', title='Feature1 vs Feature2', hue='category')

• Advanced Plots: Generate more complex visualizations such as correlation heatmaps, pair plots, and box plots.

Below is the code example

from vizutils.advanced_plots import correlation_heatmap, pair_plot, box_plot

Correlation Heatmap

correlation_heatmap(df, title='Correlation Matrix')

Pair Plot

pair_plot(df, hue='category', title='Pair Plot of Features')

Box Plot

box_plot(df, x='category', y='values', title='Box Plot of Values by Category')

• Interactive Plots: Use Plotly to create interactive plots that can be embedded in notebooks and web pages.

Below is the code example:

from vizutils.interactive_plots import interactive_scatter, interactive_line, interactive_histogram

Interactive Scatter Plot

interactive_scatter(df, x='feature1', y='feature2', color='category', title='Interactive Scatter Plot')

Interactive Line Plot

interactive_line(df, x='date', y='values', color='category', title='Interactive Line Plot')

Interactive Histogram

interactive_histogram(df['values'], nbins=20, title='Interactive Histogram')

Requirements

Python 3.6+ pandas matplotlib seaborn plotly

Installation

You can install VizUtils using pip:

pip install vizutils