Row indexing using loc for pandas
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sure! row indexing using `loc` in pandas allows you to access rows in a dataframe by using labels. the `loc` indexer is primarily label-based, which means you specify the row labels to extract rows from the dataframe. here is a step-by-step tutorial with a code example:
step 1: import the pandas library
step 2: create a sample dataframe
step 3: use `loc` to access rows by labels
output:
in the code example above, we create a dataframe with 'name' as the index column. we then use the `loc` indexer to access specific rows by their labels. you can access a single row or multiple rows by passing a single label or a list of labels to the `loc` indexer.
i hope this tutorial helps you understand how to use `loc` for row indexing in pandas! let me know if you have any questions or need further clarification.
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