To display the 3rd, 4th and 5th columns from the 6th to 9th rows of a dataframe DF, you can write- A). `DF.loc[6:9,3:5]` B). `DF.loc[6:10,3:6]` C). `DF.iloc[6:10,3:6]` D). `DF.iloc[6:9,3:5]`

The correct answer is `DF.loc[6:9,3:5]`. According to the provided marking scheme, the correct answer is `DF.loc[6:9,3:5]`. *(Note: In standard Pandas operations, if you want purely positional slicing for the 6th to 9th rows (index 5 to 8) and 3rd to 5th columns (index 2 to 4), you would typically use `iloc`. However, this specific answer assumes the index labels match these exact values and leverages `loc` where both boundaries are inclusive).*

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Informatics Practices > Data Handling And Visualization > Data Handling Using Pandas

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To display the 3rd, 4th and 5th columns from the 6th to 9th rows of a dataframe DF, you can write-

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