Pandas DataFrame Operations
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Questions and Answers

What data structure in pandas is a 1-dimensional array?

  • Dataframe
  • Dictionary
  • Series (correct)
  • Array
  • What is the minimum number of arguments required to pass in a pandas Series?

  • 3
  • 2
  • 0
  • 1 (correct)
  • Which of the following is not a feature of a pandas Series?

  • Homogeneous data
  • Immutable size
  • Mutable data
  • Multiple columns (correct)
  • What is the full form of NaN in pandas?

    <p>Not a Number</p> Signup and view all the answers

    What package is required to create a pandas Series?

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

    What data structure can be used to analyze data in pandas?

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

    What is the output of the following code: import pandas as pd; s = pd.Series(5, index=[0, 1, 2, 3]); print(s)?

    <p>0 5</p> Signup and view all the answers

    What is the minimum number of arguments required to pass in a pandas Series?

    <p>1</p> Signup and view all the answers

    What can be used to create a pandas Series?

    <p>All of them</p> Signup and view all the answers

    What is the output of the following code: import pandas as pd; s = pd.Series(5, index=[0, 1, 2, 3]); print(s)?

    <p>0 5 1 5 2 5 3 5 dtype: int64</p> Signup and view all the answers

    What does NaN stand for in pandas?

    <p>Not a Number</p> Signup and view all the answers

    What is the output of the following code: import pandas as pd; s = pd.Series([1,2,3]); t = pd.Series([1,2,4]); u = s-t; print(u)?

    <p>0 0 1 0 2 -1 dtype: int64</p> Signup and view all the answers

    What is a DataFrame in Pandas?

    <p>A two-dimensional array with heterogeneous data</p> Signup and view all the answers

    What is the purpose of the drop() function in a DataFrame?

    <p>To delete a column or row</p> Signup and view all the answers

    Which function can be used to read a dataset from a large text file?

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

    What can be used to create a DataFrame in Pandas?

    <p>All of the above</p> Signup and view all the answers

    What is the full form of a CSV file?

    <p>Comma Separated Value</p> Signup and view all the answers

    What is the correct Pandas syntax to read in a CSV file and assign it to a DataFrame?

    <p>df = pd.read_csv('file.csv')</p> Signup and view all the answers

    What does the line of code 'df.dropna()' do?

    <p>Drops NaN values</p> Signup and view all the answers

    What is the default number of rows returned by the head() function in a Series?

    <p>5</p> Signup and view all the answers

    What is the difference between a DataFrame and a Series?

    <p>A DataFrame is two-dimensional, while a Series is one-dimensional</p> Signup and view all the answers

    What does the iteritems() function do?

    <p>Returns a tuple with the column name and the content as a Series</p> Signup and view all the answers

    What is the dimension of a Series in Pandas?

    <p>1 Dimensional Array</p> Signup and view all the answers

    What is the minimum number of arguments required to pass in a Pandas Series?

    <p>1</p> Signup and view all the answers

    Which of the following statements will display the last few rows of the dataframe?

    <p>Print(df.tail())</p> Signup and view all the answers

    Which of the following commands will delete the 'rank2' row from the dataframe?

    <p>df.drop('rank2')</p> Signup and view all the answers

    What is the correct way to add a new column 'Marks' to the dataframe with the values 12, 22, 21, 24?

    <p>df['marks'] = [12, 22, 21, 24]</p> Signup and view all the answers

    What is the attribute used to specify column labels in a DataFrame?

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

    Which of the following functions can be used to extract a row or column from a DataFrame?

    <p>All of the above</p> Signup and view all the answers

    What is the number of arguments required by the insert function in a DataFrame?

    <p>3</p> Signup and view all the answers

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