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Pandas Intro

Pandas is an open-source, BSD-licensed Python library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

Concatenation​

  • pd.concat()function: the most multi-purpose and can be used to combine multiple DataFrames along either axis.
  • DataFrame.append()method: a quick way to add rows to your DataFrame, but not applicable for adding columns.
  • pd.merge()function: great for joining two DataFrames together when we have one column (key) containing common values.
  • DataFrame.join()method: a quicker way to join two DataFrames, but works only off index labels rather than columns.

Options​

pd.options.display.max_columns = None

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Reference​

https://www.dataquest.io/blog/pandas-concatenation-tutorial

https://pandas.pydata.org/docs/getting_started/10min.html