📓
Dataprocessing
  • Preface
  • Essential Libraries
  • Introduction
  • Tidy data
  • Vectorized solutions
  • Load data
    • CSV
    • XML
    • SQL
    • json
  • Data Inspection
    • Dealing with missing values
    • Cleaning data
    • Normalization
  • Data Preparation
    • Tidy data
    • Combine data
    • Reshaping
      • Reshape with melt
  • Data exploration
  • Data visualisation
    • Panel basics
  • Plotten van kaarten
  • Data analysis
    • Statistics in Python
  • Databases
    • Database concepts
  • studycases
    • Montly sales data
      • Make it interactive using panel
    • Combine data to investigate a hypothesis
    • Twitter analysis using sql
  • Missing time related data
  • Plotting F1 race data
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  • Matplotlib
  • pandas built in visualisation
  • panel

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Data visualisation

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Last updated 3 years ago

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Matplotlib

Matplotlib () is a popular library for producing informative visualisations (plots). It is designed for (mostly two dimensional) publication quality plots.

pandas built in visualisation

The built-in visualization of pandas really shines is in helping with fast and easy plotting of series and DataFrames that can help us explore the data. We can directly plot from the dataframe

df.plot.scatter('A', 'C', c='B', s=df['B'], colormap='viridis');

panel

Panel is a tool that can make your visualisations interactive. It uses widgets to interact with the data. It is designed for dashboards.

for more theoretical background

see also

see also

tutorial_matplotlib.ipynb
tutorial_pandas_visualisation.ipynb
introduction_panel.ipynb
http://matplotlib.org
source: https://pythonawesome.com/official-matplotlib-cheat-sheets/