Question:
In Python Pandas, DataFrame.......... [] is used for label indexing with DataFrames.
In Python Pandas, DataFrame.......... [] is used for label indexing with DataFrames.
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Use loc for label-based indexing and iloc for position-based indexing.
Updated On: Jul 14, 2025
- label
- index
- labeindex
- loc
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The Correct Option is D
Solution and Explanation
In Pandas, the loc[] indexer is used to select rows and columns by label.
This means you can use loc[] to access data using the explicit index or column labels rather than their integer positions.
For example, if you have a DataFrame df, you can use df.loc[5] to get the row with index label 5.
Or you can use df.loc[5, 'Name'] to get the value in the 'Name' column for the row where the index is 5.
Option label does not exist as an indexer.
index refers to the index object itself but is not used as an indexing method.
labeindex is not a valid syntax.
Therefore, the correct answer for label-based indexing is loc.
This means you can use loc[] to access data using the explicit index or column labels rather than their integer positions.
For example, if you have a DataFrame df, you can use df.loc[5] to get the row with index label 5.
Or you can use df.loc[5, 'Name'] to get the value in the 'Name' column for the row where the index is 5.
Option label does not exist as an indexer.
index refers to the index object itself but is not used as an indexing method.
labeindex is not a valid syntax.
Therefore, the correct answer for label-based indexing is loc.
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