gshotwell / pyrsm

Python functions for Customer Analytics at the Rady School of Management (RSM)

PYRSM

Python functions and classes for Customer Analytics at the Rady School of Management (RSM), University of California, San Diego (UCSD)

Install instructions

If you have python and pip3 install you can use the below to install the latest version of pyrsm:

pip3 install --user 'pyrsm>=0.8.1'

or

conda install 'pyrsm>=0.8.1'

Example notebooks

Data

• Load example datasets
• Save and load notebook state files

Basics

• Cross-tabs
• Correlation

Radiant

The examples above are (mostly) connected to the example data and analyses initially created for the family of Radiant R packages. See https://radiant-rstats.github.io/docs/index.html for more details

© Vincent Nijs (2022)

Links

• Pandas cheat sheet
• Pandas vs R
• Pandas vs R
• Pandas vs R
• Split-Appy-Combine in Pandas
• Split-Appy-Combine in Pandas
• "assign" in Pandas
• Condition count
• value_counts in Pandas
• Convert column to string or categorical:
  • df["zipcode"] = df.zipcode.astype(str)
  • df["zipcode"] = df.zipcode.astype('category')

Python Learning Resources

• Python for everyone (https://www.py4e.com)
• Scientific computing with Python (https://www.freecodecamp.org/learn/scientific-computing-with-python/)
• Data analysis with Python (https://www.freecodecamp.org/learn/data-analysis-with-python/)

Python AND R

• Reticulate
• rpy2