Data Visualization with Python and Matplotlib


  • Data Visualization with Python and Matplotlib, Singapore elarning online course
  • Data Visualization with Python and Matplotlib, Singapore elarning online course
  • Data Visualization with Python and Matplotlib, Singapore elarning online course
  • Data Visualization with Python and Matplotlib, Singapore elarning online course
  • Data Visualization with Python and Matplotlib, Singapore elarning online course
  • Data Visualization with Python and Matplotlib, Singapore elarning online course

Course Description

More and more people are realising the vast benefits and uses of analysing big data. However, the majority of people lack the skills and the time needed to understand this data in its original form. That's where data visualisation comes in; creating easy to read, simple to understand graphs, charts and other visual representations of data. Python 3 and Matplotlib are the most easily accessible and efficient to use programs to do just this.

Python Data Visualisation made easy.

- Visualise multiple forms of 2D and 3D graphs; line graphs, scatter plots, bar charts, etc.
- Load and organise data from various sources for visualisation
- Create and customise live graphs
- Add finesse and style to make your graphs visually appealing


Course Objectives

1. Understanding Matplotlib and getting set up
2. Learning the different types of basic Matplotlib charts
3. Mastering the basic customization options for Matplotlib
4. Customizing ticks, add/remove & customize spines, styles with Matplotlib


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Content

Course Introduction

+

Getting Matplotlib And Setting Up

Download source code

Promo

Introduction 

Different types of basic Matplotlib charts

Preview Available

+

Section Intro

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 Outro

Basic Customization Options

Preview Available

+

Section Intro

Getting Stock Prices For Our Data Set

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 Outro

Advanced Customization Options

+

Section Intro

Basic subplot 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 customization

Share X axis

Multi Y axis

Customizing Legends

Section Outro

Geographical Plotting with Basemap

+

Section Intro

Downloading and installing Basemap

Basic basemap example

Customizing the projection

More customization, like colors, fills, and forms of boundaries

Plotting Coordinates

Connecting Coordinates

Section Outro

3D graphing

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Section Intro

Basic 3D graph example using wireframe

3D scatter plots

3D Bar Charts

More advanced Wireframe example

Section outro

Course Conclusion

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Conclusion

SGD $79.00
(Price excludes GST)
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