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What does the drop() method do in a DataFrame?
What does the drop() method do in a DataFrame?
- Duplicates rows and columns
- Adds rows and columns
- Renames rows and columns
- Removes unwanted rows and columns (correct)
When would you use the drop() method in a DataFrame?
When would you use the drop() method in a DataFrame?
- To rearrange rows and columns
- To drop rows and columns with missing values or redundancy (correct)
- To add missing rows and columns
- To format rows and columns
How are rows dropped using the drop() method?
How are rows dropped using the drop() method?
- Passing a list of column names
- Passing a list of row indices to 'index' (correct)
- Using 'range()' function
- Setting 'inplace' parameter as false
What does setting 'inplace' parameter to true do when dropping rows or columns?
What does setting 'inplace' parameter to true do when dropping rows or columns?
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In a DataFrame, what is the default value of 'inplace' parameter when using the drop() method?
In a DataFrame, what is the default value of 'inplace' parameter when using the drop() method?
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Which scenario would require the use of the drop() method in a DataFrame?
Which scenario would require the use of the drop() method in a DataFrame?
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How does the drop() method affect the size of a DataFrame?
How does the drop() method affect the size of a DataFrame?
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What would be the consequence of not specifying any index values when using the drop() method?
What would be the consequence of not specifying any index values when using the drop() method?
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