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Data Visualization with Python and Matplotlib
Course Introduction
Introduction
Getting Matplotlib And Setting Up
Different types of basic Matplotlib charts
Section Introduction
Basic matplotlib graph
Labels, titles and window buttons
Legends
Bar Charts
Histograms
Scatter Plots
Stack Plots
Pie Chart
Loading data from a CSV
Loading data with NumPy
Section Conclusion
Basic Customization Options
Section Introduction
Source for our Data*
Parsing stock prices from the internet*
Plotting basic stock data*
Modifying labels and adding a grid*
Converting from unix time and adjusting subplots*
Customizing ticks*
Fills and Alpha*
Add, remove, and customize spines*
Candlestick OHLC charts*
Styles with Matplotlib*
Creating our own Style*
Live Graphs*
Adding and placing text*
Annotating a specific plot*
Dynamic annotation of last price*
Section Conclusion
Advanced Customization Options
Section Introduction
Basic suplot additions*
Subplot2grid *
Incorporating changes to candlestick graph*
Creating moving averages with our data*
Adding a High minus Low indicator to graph*
Customizing the dates that show*
Label and Tick customizations*
Share X axis*
Multi Y axis*
Customizing Legends*
Section Conclusion
Geographical Plotting with Basemap
Section Introduction
Downloading and installing Basemap
Basic basemap example
Customizing the projection
More customization, like colors, fills, and forms of boundaries
Plotting Coordinates*
Connecting Coordinates*
Section Conclusion
3D graphing
Section Introduction
Basic 3D graph example using wire_frame
3D scatter plots
3D Bar Charts
More advanced Wireframe example
Section Conclusion
Course Conclusion
Conclusion
Certificate Exam Access
Histograms
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