BFVM19PROG1
  • Preface
  • Essential libraries
  • Building maintainable code
  • Data processing
    • Introduction
    • Structured data
    • Vectorised solutions
    • Configuration files
      • YAML
    • Data loading, Storage and File Formats
      • CSV
      • XML
      • JSON
      • HTTP
      • API's
      • Database concepts
      • SQL
  • Data inspection
  • Data exploration
  • Data wrangling
    • Dealing with missing values
    • Cleaning data
    • DateTime wrangling
    • Reshape with melt
    • Combine data
  • Normalization
  • Time series
  • Streaming data
  • Data visualisation
    • Bokeh introduction
    • Plot with glyphs
    • Plotting with different data structures
    • Boxplot
    • Heatmap
    • Bokeh widgets
    • Bokeh layouts
    • Bokeh applications
    • Panel basics
  • DATA ANALYSIS
    • Statistics in Python
  • Study Cases
    • Why we love Numpy
    • Heart failure Case study
    • Adults who binge drink in hot towns
    • USDA food database (JSON)
    • Breastcancer NKI data
    • Plotting time data with panel dashboard and bokeh
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  1. Data visualisation

Boxplot

The plot that is missing in the built-ins

PreviousPlotting with different data structuresNextHeatmap

Last updated 4 years ago

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Bokeh does not have a built-in boxplot like matplotlib. Good practise is to create a class based on the example script from the gallary, import this in your script and use this class in your script. An example of such a class is to be found at

The class can be used as follow: 

b = Helper.Boxplot(df = df[['Hours', 'Breakfast']], 
                   value = 'Hours', by = 'Breakfast')
p = b.boxplot()
show(p)
https://github.com/fenna/BFVM19PROG1/blob/main/scripts/boxplot.py
bokeh boxplot of hours grouped by breakfast