"That was my first step... now I know far beyond this, as that notes was starting."

This repository contains Matplotlib notes demonstrating basic to intermediate plotting techniques in Python.
It covers line plots, bar charts, pie charts, histograms, subplots, and saving figures.

These notes were created as part of my journey to learn data visualization.

Yuvraj
Skills: Python | Matplotlib | Data Visualization | Charts & Graphs

• Simple line plots
• Customizing line style, color, width, and markers
• Adding title, labels, and grid

• Using NumPy arrays with Matplotlib
• Customizing markers and colors

• Loading Excel data with Pandas
• Cleaning columns for plotting

• Basic and stacked bar charts
• Labeling axes and legends

• Pie charts with labels and percentages
• Rotating start angles
• Equal axis for circular pies

• Creating histograms to visualize distributions
• Customizing bins, colors, and transparency

• Multiple plots in a single figure
• Custom figure sizes
• Titles and labels for each subplot

• Save figures as PNG, JPG, SVG, or PDF
• Use dpi and bbox_inches='tight' for high-quality output

• delhi_vs_mumbai_sales.png (example of saved figure)

"That was my first step... now I know far beyond this, as that notes was starting."