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Ultimate Visualization with Python
course content

Course Content

Ultimate Visualization with Python

Ultimate Visualization with Python

1. Matplotlib Introduction
Plotting ApplicationsWhy Use Matplotlib?Creating a CanvasBasic Plotting
2. Creating Commonly Used Plots
Line PlotMultiple Line PlotsScatter PlotBar ChartStacked Bar ChartsGrouped Bar Charts
3. Plots Customization
Adding Title to the PlotAdding LegendAxes CustomizationColors and Transparency Customizing GridSubplots
4. More Statistical Plots
HistogramBox PlotPie Chart
5. Plotting with Seaborn
Seaborn IntroductionCountplotPlots DecorationKDE PlotJoint PlotPair PlotHeatmap

book
Seaborn Introduction

Seaborn is a high-level plotting library based on matplotlib. Let’s have a look at its advantages in comparison to matplotlib:

  • simpler interface;
  • a wide range of default styles and color palettes;
  • works well with pandas DataFrame;
  • a wide range of built-in statistical functions.

Here is an example of a plot created using seaborn with just one line of code:

Apparently, everything you can accomplish using seaborn can be also done with matplotlib, yet it may often take more time and effort.

However, matplotlib being a rather low-level library in comparison, offers more flexibility for your plots, so if you need to create a rather unique plot with a lot of customizations, matplotlib is still the best choice.

Task
test

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Import the seaborn library with the sns alias.

Solution

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Section 5. Chapter 1
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book
Seaborn Introduction

Seaborn is a high-level plotting library based on matplotlib. Let’s have a look at its advantages in comparison to matplotlib:

  • simpler interface;
  • a wide range of default styles and color palettes;
  • works well with pandas DataFrame;
  • a wide range of built-in statistical functions.

Here is an example of a plot created using seaborn with just one line of code:

Apparently, everything you can accomplish using seaborn can be also done with matplotlib, yet it may often take more time and effort.

However, matplotlib being a rather low-level library in comparison, offers more flexibility for your plots, so if you need to create a rather unique plot with a lot of customizations, matplotlib is still the best choice.

Task
test

Swipe to show code editor

Import the seaborn library with the sns alias.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 5. Chapter 1
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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