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Python pandas Q&A video series

Materials from the Data School video series about Python's pandas library.

Read more about the series, and view all of the videos on one page: Easier data analysis in Python with pandas

Commented code and resources links from each video

Videos (playlist)

  1. What is pandas? (Introduction to the Q&A series) (6:24)
  2. How do I read a tabular data file into pandas? (8:54)
  3. How do I select a pandas Series from a DataFrame? (11:10)
  4. Why do some pandas commands end with parentheses (and others don't)? (8:45)
  5. How do I rename columns in a pandas DataFrame? (9:36)
  6. How do I remove columns from a pandas DataFrame? (6:35)
  7. How do I sort a pandas DataFrame or a Series? (8:56)
  8. How do I filter rows of a pandas DataFrame by column value? (13:44)
  9. How do I apply multiple filter criteria to a pandas DataFrame? (9:51)
  10. Your pandas questions answered! (9:06)
  11. How do I use the "axis" parameter in pandas? (8:33)
  12. How do I use string methods in pandas? (6:16)
  13. How do I change the data type of a pandas Series? (7:28)
  14. When should I use a "groupby" in pandas? (8:24)
  15. How do I explore a pandas Series? (9:50)
  16. How do I handle missing values in pandas? (coming May 26)

Datasets

Filename Description Raw File Original Source Other
chipotle.tsv Online orders from the Chipotle restaurant chain bit.ly/chiporders The Upshot Upshot article
drinks.csv Alcohol consumption by country bit.ly/drinksbycountry FiveThirtyEight FiveThirtyEight article
imdb_1000.csv Top rated movies from IMDb bit.ly/imdbratings IMDb Web scraping script
u.user Demographic information about MovieLens users bit.ly/movieusers GroupLens Data dictionary
ufo.csv Reports of UFO sightings from 1930-2000 bit.ly/uforeports National UFO Reporting Center Web scraping script

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Jupyter notebook and datasets from the pandas Q&A video series

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