Concatenating Pandas Series
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Questions and Answers

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?

  • 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?

  • 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?

    <p>Deletes them permanently from the data</p> Signup and view all the answers

    In a DataFrame, what is the default value of 'inplace' parameter when using the drop() method?

    <p>false</p> Signup and view all the answers

    Which scenario would require the use of the drop() method in a DataFrame?

    <p>When you need to remove rows or columns with missing values or redundancy</p> Signup and view all the answers

    How does the drop() method affect the size of a DataFrame?

    <p>Decreases size by removing both rows and columns that meet specified criteria</p> Signup and view all the answers

    What would be the consequence of not specifying any index values when using the drop() method?

    <p>No rows or columns are dropped from the DataFrame</p> Signup and view all the answers

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