Python videos | Python Part 19 - Pandas

Posted by Andy Brown on 12 November 2021


This tutorial explains what pandas is and does, including creating dataframes, importing data into them from CSV files, Excel workbooks and SQL Server tables, indexing dataframes, showing statistics and much more besides!

This video is currently only available to YouTube channel members in the appropriate tier. If you’re already a channel member, you can watch the video on YouTube; otherwise, click here to see the perks of becoming a channel member.

If you're not a channel member, don't worry - the video will be released publicly after a short period of member exclusivity.

This video has the following accompanying files:

File name Type Description
Example dataframe.png Image Picture of example dataframe
A - Getting started.py Python code Creating dataframes and series
B - Showing dataframe info.py Python code Showing information about dataframes
C - read and write CSV.py Python code Reading to and writing from CSV files
films.csv CSV file The CSV files created
D - read and write Excel.py Python code Reading to and writing from Excel workbooks
films.xlsx Excel workbook The Excel workbook created
E - read and write SQL Server.py Python code Reading to and writing from SQL Server tables
F - slicing and indexing.py Python code Slicing and indexing dataframes
G - Sort and filter.py Python code Sorting and filtering dataframes
H - statistics and grouping.py Python code Statistics and grouping
I - column operations.py Python code Creating new columns
J - other operations.py Python code Renaming columns
J - other operations (2).py Python code Joining or merging dataframes
Films and directors.xlsx Excel workbook Workbook containing data to join
J - other operations (3).py Python code Removing duplicate rows
K - matplotlib.py Python code Using matplotlib
Useful links.txt Text file Useful links

Click to download a zipped copy of the above files.

After watching this video, you may like to test your understanding by doing one or more of the following exercises:

You can also download the answers to each exercise from the links above.

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