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Pandas: from bdate_range to wide_to_long

Description

PyData Amsterdam 2016

The notebook can be found at http://s.lanzani.nl/pydataamsterdam

Description

In this tutorial we will walk through the most useful pandas features with examples and exercises. The tutorial will assume some basic Python knowledge.

Abstract

In this tutorial we will walk through the most useful pandas features with examples and exercises. We will take a look at:

  • Series
  • Dataframes
  • (Re)Indexing
  • Dropping data
  • Adding data
  • Filtering
  • Apply functions to dataframes
  • Missing data
  • Merge and combine
  • Stacking and unstacking
  • Replacing values
  • Binary decomposition
  • Plotting
  • Data aggregation
  • Quantile bucket analysis

During the tutorial we will decide how many exercises to fit. The students will get the notebook if time won't be enough to cover everything.

Details

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