Data Visualization using Matplotlib and Python

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Data Visualization with Python and Matplotlib

 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*

 

 Subplotgrid *

 

 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

 

D graphing

 

 Section Introduction

 

 Basic D graph example using wire_frame

 

 D scatter plots

 

 D Bar Charts

 

 More advanced Wireframe example

 

 Section Conclusion

 

 Conclusion

 

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