51 replace gdppercap 1972 with 1972

[Scottan]

Merge to close #51

I also changed "data" to "df" and used more consistent terminology for Dataframe in the chapter

Merge to close #50

[github-actions]

Thank you!

Thank you for your pull request 😃

🤖 This automated message can help you check the rendered files in your submission for clarity. If you have any questions, please feel free to open an issue in {sandpaper}.

If you have files that automatically render output (e.g. R Markdown), then you should check for the following:

• 🎯 correct output
• 🖼️ correct figures
• ❓ new warnings
• ‼️ new errors

Rendered Changes

🔍 Inspect the changes: https://github.com/UoMResearchIT/programming_with_python/compare/md-outputs..md-outputs-PR-55

The following changes were observed in the rendered markdown documents:

 07-pandas_essential.md | 76 +++++++++++++++++++++++++-------------------------
 md5sum.txt             |  2 +-
 2 files changed, 39 insertions(+), 39 deletions(-)

What does this mean?

If you have source files that require output and figures to be generated (e.g. R Markdown), then it is important to make sure the generated figures and output are reproducible.

This output provides a way for you to inspect the output in a diff-friendly manner so that it's easy to see the changes that occur due to new software versions or randomisation.

⏱️ Updated at 2025-11-14 11:27:30 +0000

[Copilot]

Pull Request Overview

This PR refactors the pandas tutorial to improve consistency by renaming the main variable from data to df and standardizing terminology around "DataFrame". It also fixes issue #51 by updating column label references in a challenge question to reflect the cleaned column names (from 'gdpPercap_1972' to '1972').

• Renamed the main DataFrame variable from data to df throughout the tutorial
• Standardized capitalization and usage of "DataFrame" terminology
• Updated challenge question to use the correct column label format after cleanup ('1972' instead of 'gdpPercap_1972')

Comments suppressed due to low confidence (1)

episodes/07-pandas_essential.md:1

• The str.strip() method is incorrect here. The strip() method removes characters from the beginning and end of a string, not as a prefix. Since 'gdpPercap_' is a prefix, this should use str.replace('gdpPercap_', '') or str.lstrip('gdpPercap_') instead. With strip(), the columns would incorrectly have individual characters removed.

---

---

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.