Skip to content

fix link to pandas episode #151

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Apr 10, 2025
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion episodes/looping-data-sets.md
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@ exercises: 10

## Use a `for` loop to process files given a list of their names.

If you recall from episode 06, the `pd.read_csv()` method takes a text string referencing a filename as an argument. If we have a list of strings that point to our filenames, we can loop through the list to read in each CSV file as a DataFrame. Let's print out the maximum values from the 'ytd' (year to date) column for each DataFrame.
If you recall from the [Libraries & Pandas episode](libraries.md#pandas), the `pd.read_csv()` method takes a text string referencing a filename as an argument. If we have a list of strings that point to our filenames, we can loop through the list to read in each CSV file as a DataFrame. Let's print out the maximum values from the 'ytd' (year to date) column for each DataFrame.

```python
import pandas as pd
Expand Down