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Duration – 15 hour

- Course completion certificate
- Mode of Study – Self Paced Learning
- 24/7 support
$100
Data Visualization with Python and Matplotlib
 Introduction
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 Getting Matplotlib And Setting Up
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Different types of basic Matplotlib charts
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 Section Introduction
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 Basic matplotlib graph
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 Labels, titles and window buttons
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 Legends
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 Bar Charts
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 Histograms
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 Scatter Plots
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 Stack Plots
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 Pie Chart
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 Loading data from a CSV
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 Loading data with NumPy
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 Section Conclusion
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Basic Customization Options
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 Section Introduction
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 Source for our Data*
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 Parsing stock prices from the internet*
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 Plotting basic stock data*
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 Modifying labels and adding a grid*
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 Converting from unix time and adjusting subplots*
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 Customizing ticks*
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 Fills and Alpha*
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 Add, remove, and customize spines*
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 Candlestick OHLC charts*
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 Styles with Matplotlib*
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 Creating our own Style*
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 Live Graphs*
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 Adding and placing text*
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 Annotating a specific plot*
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 Dynamic annotation of last price*
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 Section Conclusion
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Advanced Customization Options
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 Section Introduction
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 Basic suplot additions*
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 Subplotgrid *
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 Incorporating changes to candlestick graph*
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 Creating moving averages with our data*
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 Adding a High minus Low indicator to graph*
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 Customizing the dates that show*
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 Label and Tick customizations*
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 Share X axis*
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 Multi Y axis*
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 Customizing Legends*
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 Section Conclusion
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Geographical Plotting with Basemap
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 Section Introduction
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 Downloading and installing Basemap
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 Basic basemap example
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 Customizing the projection
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 More customization, like colors, fills, and forms of boundaries
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 Plotting Coordinates*
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 Connecting Coordinates*
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 Section Conclusion
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D graphing
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 Section Introduction
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 Basic D graph example using wire_frame
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 D scatter plots
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 D Bar Charts
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 More advanced Wireframe example
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 Section Conclusion
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 Conclusion
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What People Are Saying

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