vissuAlize

vissuAlize 0.1.3 is a Python visualization library that provides a high-level interface for drawing attractive and informative statistical graphics. It is built on top of Matplotlib and Seaborn and offers a variety of chart types that can be created with minimal code.

Google Colab

Installation

Install vissuAlize using pip:

pip install vissuAlize

dir()

The dir() function lists all properties and methods that an object has. For example, to see all the functions and properties your vissuAlize module has, you can use it as follows:

dir(vissuAlize)

help()

The help() function provides detailed information about an object, module or function in Python. It is useful for explaining to the user what the object does, how to use it, and what its methods are.

help(vissuAlize)

Quick Start

To create a bar chart with vissuAlize, simply import the library and use the bar method. You can customize your chart with various parameters such as title, xlabel, ylabel, figsize, and color. Here's an example:

from vissuAlize import vissuAlize


# Create data for the chart
categories = ['Category 1', 'Category 2', 'Category 3']
values = [10, 20, 15]

# Generate the bar chart
vissuAlize.bar(x=categories, y=values, title='Sample Bar Chart', xlabel='Categories', ylabel='Values', figsize=(8, 6), color='maroon')

Scatter Plot Example

# Sample data for scatter plot
x_values = [5, 20, 40, 60, 80]
y_values = [25, 45, 65, 85, 105]

# Generating the scatter plot
vissuAlize.scatter(x=x_values, y=y_values, title='Scatter Plot Example', xlabel='X Axis', ylabel='Y Axis', figsize=(10, 6), color='green', marker='x')

Line Plot Example

# Time series data
months = ['Jan', 'Feb', 'Mar', 'Apr', 'May']
revenue = [10000, 15000, 12000, 17000, 14000]

# Generating the line plot
vissuAlize.lineplot(x=months, y=revenue, title='Monthly Revenue', xlabel='Month', ylabel='Revenue', figsize=(10, 6), color='red', linestyle='--', linewidth=2)

Histogram Example

# Sample data for histogram
data = [22, 87, 5, 43, 56, 73, 55, 54, 11, 20, 51, 5, 79, 31, 27]

# Generating the histogram
vissuAlize.histogram(data=data, bins=8, title='Sample Histogram', xlabel='Value', ylabel='Frequency', figsize=(10, 6), color='purple')

Acknowledgements

This project, vissuAlize, has been developed to provide an easy and intuitive way to visualize data in Python. It stands on the shoulders of giants by utilizing the powerful visualization capabilities provided by matplotlib and seaborn. We are thankful to the developers and contributors of these libraries for making data visualization accessible and effective.

• matplotlib: A plotting library for the Python programming language and its numerical mathematics extension NumPy. Matplotlib

• seaborn: A Python data visualization library based on matplotlib that provides a high-level interface for drawing attractive statistical graphics. Seaborn