Data Analytics
100 learners
Customizing and Styling Plots
Discover how to take your plotting skills to the next level with customization techniques. Explore how colors, grids, markers, and themes can enhance your visuals, and learn to create sophisticated multi-plot layouts. By experimenting with these elements, you'll turn informative data visualizations into engaging pieces of art.
MatPlotLib
Python
Seaborn
5 lessons
24 practices
2 hours
Data Visualization and Reporting
Lessons and practices
Define Line Plot Color
Color Customization with Hex Codes
RGB Tweak for Histogram Visualization
Define Multiple Colors
Coloring Bar Chart with Diverse Formats
Enhance Your Plot with Grids
Customize Grid Color in Plots
Customize Grid Style for Clarity
Set Grid Line Width
Setting Up Custom Grid
Complete the Scatter Plot Styling
Switching Styles in Scatter Plots
Correct the Scatter Plot Theme
Set a Seaborn Theme Yourself
Customize Scatter Plot Markers
Customize Your Scatter Plot Markers
Enhance Line Plot with Markers
Fix Line Plot Marker Color
Customize Your Line Plot Markers
Create a One-Dimensional Layout
Change Layout from Horizontal to Vertical
Fix Subplots Overlapping
Multi-figure Layouts with Matplotlib
Crafting Multi-plot Visualizations
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