Articles¶

Articles about Buckaroo can be found here. It was more expedient to use Read The Docs for a common blog task than dealing with medium paywalls or yet another devops struggle.

  • Auto Cleaning
    • Better typing
    • Heuristic cleaning
      • Using Autocleaning
    • Changing individual coercions
    • Turning off auto cleaning
      • How Autotyping Works
    • Why three functions?
    • How do I add special replacement functionality?
  • The Dastardly DataFrame Dataset
    • Why this matters
    • The Dastardly DataFrames
      • Infinity and NaN
      • Really Big Numbers
      • Column Named “index”
      • Named Index
      • MultiIndex Columns
      • MultiIndex on Rows
      • Three-Level MultiIndex
      • MultiIndex on Both Axes
      • Weird Types (Pandas)
      • Weird Types (Polars)
    • Full dtype coverage
    • How this demo was built
    • Try it yourself
  • Data Flow through Buckaroo
    • Customization points of Buckaroo
    • Full Flow
      • Glossary
    • Quick Start to extending Buckaroo
  • use
  • Don’t use df.head(), try buckaroo instead
  • Histograms
    • Interpreting Buckaroo histograms by example
      • Common patterns
      • Categorical patterns
      • Numeric patterns
    • Other research
  • Pluggable analysis framework
    • Analysis In Action
    • Features of the Pluggable Analysis Framework
    • Order of Operations
  • Related projects
    • Other jupyter widgets
    • Other exploratory data analysis tools
    • Other data tables
    • Other js data tables
    • Why list potential competitors
  • Roadmap
    • Priorities
    • Release Plans
      • 0.4 Series
      • 0.5 series
      • 0.6 series
      • 0.7 series
  • Index

  • Module Index

  • Search Page

  • Buckaroo on github

Buckaroo

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  • Articles
    • Auto Cleaning
    • The Dastardly DataFrame Dataset
    • Data Flow through Buckaroo
    • use
    • Don’t use df.head(), try buckaroo instead
    • Histograms
    • Pluggable analysis framework
    • Related projects
    • Roadmap

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