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Data Visualization with Python and Matplotlib

Data Visualization with Python and Matplotlib

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1.9 GB
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Description
Data Visualization with Python and Matplotlib Download

Python,Data Visualization,Matplotlib



What you'll learn

Visualize multiple forms of both 2D and 3D graphs, like line graphs, scatter plots, bar charts, and more
Load data from files or from internet sources for data visualization.
Create live graphs
Customize graphs, modifying colors, lines, fonts, and more
Visualize Geographical data on maps

Requirements

Students should be comfortable with the basics of the Python 3 programming language
Python 3 should be already installed, and students should already know how open IDLE or their own favorite editor to write programs in.

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.

Learn Big Data Python

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 appealling

Python Data Visualisation made Easy

With over 58 lectures and 6 hours of content, this course covers almost every major chart that Matplotlib is capable of providing. Intended for students who already have a basic understanding of Python, you'll take a step-by-step approach to create line graphs, scatter plots, stack plots, pie charts, bar charts, 3D lines, 3D wire frames, 3D bar charts, 3D scatter plots, geographic maps, live updating graphs, and virtually anything else you can think of!

Starting with basic functions like labels, titles, window buttons and legends, you'll then move onto each of the most popular types of graph, covering how to import data from both a CSV and NumPy. You'll then move on to more advanced features like customised spines, styles, annotations, averages and indicators, geographical plotting with Basemap and advanced wireframes.

This course has been specially designed for students who want to learn a variety of ways to visually display python data. On completion of this course, you will not only have gained a deep understanding of the options available for visualising data, but you'll have the know-how to create well presented, visually appealing graphs too.

Tools Used

Python 3: Python is a general purpose programming language which a focus on readability and concise code, making it a great language for new coders to learn. Learning Python gives a solid foundation for learning more advanced coding languages, and allows for a wide variety of applications.

Matplotlib: Matplotlib is a plotting library that works with the Python programming language and its numerical mathematics extension 'NumPy'. It allows the user to embed plots into applications using various general purpose toolkits (essentially, it's what turns the data into the graph).

IDLE: IDLE is an Integrated Development Environment for Python; i.e where you turn the data into the graph. Although you can use any other IDE to do so, we recommend the use of IDLE for this particular course.

Who this course is for:

Students should not take this course without a basic understanding of Python.
Students seeking to learn a variety of ways to visually display data
Students who seek to gain a deep understanding of options for visualizing data.
Students should not take this course if they are only looking for a brief summary of how to quickly display data.



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File list
  • Data Visualization with Python and Matplotlib
  • Data Visualization with Python and Matplotlib/01 Course Introduction/001 Introduction.jpeg 290.4 KB
  • Data Visualization with Python and Matplotlib/01 Course Introduction/001 Introduction.mp4 71.6 MB
  • Data Visualization with Python and Matplotlib/01 Course Introduction/002 Getting Matplotlib And Setting Up.mp4 24.2 MB
  • Data Visualization with Python and Matplotlib/01 Course Introduction/Must Read.txt 540 B
  • Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/001 Section Intro.mp4 34.1 MB
  • Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/002 Basic matplotlib graph.mp4 17.3 MB
  • Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/003 Labels, titles and window buttons.mp4 25.2 MB
  • Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/004 Legends.mp4 13.8 MB
  • Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/005 Bar Charts.mp4 13.2 MB
  • Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/006 Histograms.mp4 15.7 MB
  • Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/007 Scatter Plots.mp4 18.1 MB
  • Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/008 Stack Plots.mp4 24.2 MB
  • Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/009 Pie Chart.mp4 17 MB
  • Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/010 Loading data from a CSV.mp4 12.2 MB
  • Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/011 Loading data with NumPy.mp4 13.8 MB
  • Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/012 Section Outro.mp4 21.2 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/001 Section Intro.mp4 32.3 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/002 Source for our Data.mp4 45.1 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/003 Parsing stock prices from the internet.mp4 51 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/004 Plotting basic stock data.mp4 30 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/005 Modifying labels and adding a grid.mp4 29.7 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/006 Converting from unix time and adjusting subplots.mp4 50.1 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/007 Customizing ticks.mp4 33.7 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/008 Fills and Alpha.mp4 30.7 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/009 Add, remove, and customize spines.mp4 40.5 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/010 Candlestick OHLC charts.mp4 49.4 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/011 Styles with Matplotlib.mp4 44.4 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/012 Creating our own Style.mp4 42.5 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/013 Live Graphs.mp4 29.1 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/014 Adding and placing text.mp4 16.2 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/015 Annotating a specific plot.mp4 53.2 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/016 Dynamic annotation of last price.mp4 46.1 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/017 Section Outro.mp4 44.7 MB
  • Data Visualization with Python and Matplotlib/03 Basic Customization Options/ReadMe.txt 538 B
  • Data Visualization with Python and Matplotlib/04 Advanced Customization Options/001 Section Intro.mp4 23.8 MB
  • Data Visualization with Python and Matplotlib/04 Advanced Customization Options/002 Basic suplot additions.mp4 27.8 MB
  • Data Visualization with Python and Matplotlib/04 Advanced Customization Options/003 Subplot2grid .mp4 23.2 MB
  • Data Visualization with Python and Matplotlib/04 Advanced Customization Options/004 Incorporating changes to candlestick graph.mp4 43.6 MB
  • Data Visualization with Python and Matplotlib/04 Advanced Customization Options/005 Creating moving averages with our data.mp4 63.3 MB
  • Data Visualization with Python and Matplotlib/04 Advanced Customization Options/006 Adding a High minus Low indicator to graph.mp4 29 MB
  • Data Visualization with Python and Matplotlib/04 Advanced Customization Options/007 Customizing the dates that show.mp4 68.1 MB
  • Data Visualization with Python and Matplotlib/04 Advanced Customization Options/008 Label and Tick customizations.mp4 52 MB
  • Data Visualization with Python and Matplotlib/04 Advanced Customization Options/009 Share X axis.mp4 54.8 MB
  • Data Visualization with Python and Matplotlib/04 Advanced Customization Options/010 Multi Y axis.mp4 64.4 MB
  • Data Visualization with Python and Matplotlib/04 Advanced Customization Options/011 Customizing Legends.mp4 66 MB
  • Data Visualization with Python and Matplotlib/04 Advanced Customization Options/012 Section Outro.mp4 32.1 MB
  • Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/001 Section Intro.mp4 31.2 MB
  • Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/002 Downloading and installing Basemap.mp4 29.8 MB
  • Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/003 Basic basemap example.mp4 21.2 MB
  • Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/004 Customizing the projection.mp4 32.8 MB
  • Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/005 More customization, like colors, fills, and forms of boundaries.mp4 31 MB
  • Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/006 Plotting Coordinates.mp4 34.2 MB
  • Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/007 Connecting Coordinates.mp4 29.8 MB
  • Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/008 Section Outro.mp4 22.6 MB
  • Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/ReadMe.txt 538 B
  • Data Visualization with Python and Matplotlib/06 3D graphing/001 Section Intro.mp4 33.9 MB
  • Data Visualization with Python and Matplotlib/06 3D graphing/002 Basic 3D graph example using wire_frame.mp4 22.6 MB
  • Data Visualization with Python and Matplotlib/06 3D graphing/003 3D scatter plots.mp4 23.1 MB
  • Data Visualization with Python and Matplotlib/06 3D graphing/004 3D Bar Charts.mp4 26.2 MB
  • Data Visualization with Python and Matplotlib/06 3D graphing/005 More advanced Wireframe example.mp4 27.3 MB
  • Data Visualization with Python and Matplotlib/06 3D graphing/006 Section outro.mp4 21.4 MB
  • Data Visualization with Python and Matplotlib/07 Course Conclusion/001 Conclusion.mp4 67.4 MB
  • Data Visualization with Python and Matplotlib/07 Course Conclusion/ReadMe.txt 538 B
  • Data Visualization with Python and Matplotlib/ReadMe.txt 538 B

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