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Auto-generated via `{sandpaper}` Source : bee3f5c Branch : main Author : Tim Dennis <[email protected]> Time : 2025-04-10 02:05:06 +0000 Message : Merge pull request #151 from LibraryCarpentry/issue_150
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looping-data-sets.md

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2020

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## Use a `for` loop to process files given a list of their names.
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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.
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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.
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```python
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import pandas as pd

md5sum.txt

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"episodes/functions.md" "499deb6ac29cdd4a00134176ef890616" "site/built/functions.md" "2024-06-17"
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"episodes/libraries.md" "e3b3c8d3d492322fdf7a05006084c3f6" "site/built/libraries.md" "2025-03-20"
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"episodes/for-loops.md" "a44b90e5f6f451c1659b7f877e0c0c4d" "site/built/for-loops.md" "2024-06-27"
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"episodes/looping-data-sets.md" "ff153b594bf9543fa2ed4890c4d3ef71" "site/built/looping-data-sets.md" "2024-10-29"
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"episodes/looping-data-sets.md" "1cf3b649ad34d1a7c79c0ec762289194" "site/built/looping-data-sets.md" "2025-04-10"
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"episodes/pandas.md" "5f2461a95e56e8aa3aa6851f12d3d566" "site/built/pandas.md" "2024-06-17"
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"episodes/conditionals.md" "b567ac5270b3dc82c4ed119870a0a890" "site/built/conditionals.md" "2024-06-17"
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"episodes/writing-functions.md" "0b81f14ebdc51157d861751893131687" "site/built/writing-functions.md" "2024-11-05"

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