Add full Matplotlib visualization exercises: line plots, subplots, charts, customization#20
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Add Matplotlib introduction with line plot and figure saving
Add Matplotlib line styles, colors, and marker examples
Add Matplotlib subplot examples for multiple plots in one figure
Add Matplotlib bar chart and pie chart examples
Add Matplotlib histogram and scatter plot examples
Add Matplotlib customization: axis ticks, limits, legends, and layout
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This PR introduces a complete set of Matplotlib exercises for visualizing data in Python, providing strong foundations in plotting techniques essential for data science.
📂 New Folder:
matplotlib/: Contains beginner-friendly visualizations with clean examples and comments.📝 Added Files:
matplotlib_intro.py: Basic line plot, labels, grid, and savefig()matplotlib_styles.py: Line styles, colors, markers, and legendsmatplotlib_subplot.py: Multiple plots using subplots and layoutmatplotlib_bar_pie.py: Bar charts and pie charts with labels and percentagesmatplotlib_hist_scatter.py: Histogram for distributions and scatter plot for correlationmatplotlib_custom.py: Custom ticks, axis limits, figure sizing, and legends⚙️ Updated Requirements:
matplotlibadded torequirements.txtOnce merged, this will complete the Matplotlib section of the project and prepare for the next module: Seaborn or Pandas Visualization.