PlotMagic 0.3

A Python package for easy-to-use advanced visualizations

PlotMagic

PlotMagic is a Python package designed to create advanced visualizations with minimal input, making data visualization effortless and accessible for users. Whether you're a beginner or an expert, PlotMagic generates high-quality plots with just a few lines of code.

Features

• Simple Line Charts
• Bar Charts
• Scatter Plots
• Heatmaps
• Pie Charts
• Box Plots
• Histograms
• Pair Plots

Usage

Here is how you can use the functions in PlotMagic to create various visualizations:

from plot_magic import viz

Create a line chart

• data = [10, 20, 30, 25, 15]
• viz.line_chart(data)

Create a bar chart

• categories = ['A', 'B', 'C']
• values = [15, 30, 45]
• viz.bar_chart(categories, values)

Create a heatmap

• import numpy as np
• heatmap_data = np.random.rand(10, 10)
• viz.heatmap(heatmap_data)

Create a scatter plot

• x = [1, 2, 3, 4, 5]
• y = [10, 15, 8, 12, 18]
• viz.scatter_plot(x, y)

Create a pie chart

• labels = ['Category 1', 'Category 2', 'Category 3']
• sizes = [30, 45, 25]
• viz.pie_chart(labels, sizes)

Visualizations

• Line Chart: Displays trends over time or categories.
• Bar Chart: Compares different categories with clear bar representation.
• Scatter Plot: Visualizes relationships between two variables.
• Heatmap: Displays data using color gradients, perfect for correlation matrices.
• Pie Chart: Shows proportion data in a circular layout.
• Box Plot: Displays data distribution based on quartiles.
• Histogram: Visualizes the frequency distribution of data.
• Pair Plot: Creates a grid of scatter plots for multivariate data analysis.

Installation

You can install the package using pip:

pip install PlotMagic