In this Python Pandas tutorial, we delve into the powerful .iloc accessor. Discover how to extract specific rows from your DataFrame using integer-based index labels. Whether you're handling data analysis, data manipulation, or data science, mastering this technique is essential for precise and efficient data retrieval. Watch, practice, and elevate your Pandas skills!
Chapters:
3:58 - Get the first row of a column in the pandas dataframe using df.iloc[0]
5:12 - Access a specified index value with .iloc property
5:35 - The difference between .iloc and .loc while extracting the certain rows.
6:44 - Get the first and the last 10 rows with .iloc accessor
8:13 - 10:28 - Access a specified index row and column with loc and iloc
10:30 - Extract specific rows and columns with .iloc in pandas
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