Python Data Visualization Solutions [Video]
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Free ChapterKnowing Your Data
- The Course Overview
- Importing Data from CSV
- Importing Data from Microsoft Excel Files
- Importing Data from Fix-Width Files
- Importing Data from Tab Delimited Files
- Importing Data from a JSON Resource
- Importing Data from a Database
- Cleaning Up Data from Outliers
- Importing Image Data into NumPy Arrays
- Generating Controlled Random Datasets
- Smoothing Noise in Real-World Data
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Drawing Your First Plots and Customizing Them
- Defining Plot Types and Drawing Sine and Cosine Plots
- Defining Axis Lengths and Limits
- Defining Plot Line Styles, Properties, and Format Strings
- Setting Ticks, Labels, and Grids
- Adding Legends and Annotations
- Moving Spines to Center
- Making Histograms
- Making Bar Charts with Error Bars
- Making Pie Charts Count
- Plotting with Filled Areas
- Drawing Scatter Plots with Colored Markers
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More Plots and Customizations
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Making 3D Visualizations
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Plotting Charts with Images and Maps
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Using Right Plots to Understand Data
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More on matplotlib Gems
Effective visualization can help you get better insights from your data, and help you make better and more informed business decisions.
This video starts by showing you how to set up matplotlib and other Python libraries that are required for most parts of the course, before moving on to discuss various widely used diagrams and charts such as Gantt Charts. As you will go through the course, you will get to know about various 3D diagrams and animations. As maps are irreplaceable to display geo-spatial data, this course will show you how to build them. In the last section, we’ll take you on a thorough walkthrough of incorporating matplotlib into various environments and how to create Gantt charts using Python.
With practical, precise, and reproducible videos, you will get a better understanding of the data visualization concepts, how to apply them, and how you can overcome any challenge while implementing them.
Style and Approach
This course follows a step-by-step, recipe-based approach so you understand various aspects of data visualization. The topics are explained sequentially through a code snippet and the resulting visualization.
- Publication date:
- November 2016
- Publisher
- Packt
- Duration
- 3 hours 27 minutes
- ISBN
- 9781787122802