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Data Handling with Pandas and Data Visualization in Python
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Data Handling with Pandas and Data Visualization in Python

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Questions and Answers

How can a Series be created in Pandas?

  • From ndarray (correct)
  • From XML files
  • From JSON files
  • From relational databases
  • What is the purpose of Boolean indexing in Pandas Data Frames?

  • To display the structure of the data frame
  • To select specific rows based on a condition (correct)
  • To export data to CSV files
  • To perform arithmetic operations on rows and columns
  • Which Python library is commonly used for data visualization along with Pandas?

  • TensorFlow
  • Matplotlib (correct)
  • NumPy
  • SciPy
  • How can a Data Frame be created in Pandas using text/CSV files?

    <p>From JSON files</p> Signup and view all the answers

    What type of plots can be drawn using Matplotlib in Python?

    <p>Line plot, bar graph, histogram</p> Signup and view all the answers

    What function can be used to rename both rows and columns in a Pandas Data Frame?

    <p>rename()</p> Signup and view all the answers

    In Pandas, what method is used for Boolean indexing based on a certain condition?

    <p>where()</p> Signup and view all the answers

    How can a new column be added to a Pandas Data Frame named 'df'?

    <p>df['new_column'] = value</p> Signup and view all the answers

    What is the correct method to select rows with labels 'A' and 'B' from a Pandas Data Frame?

    <p>df.loc[['A', 'B']]</p> Signup and view all the answers

    Which function in Pandas can be used to display the first few rows of a Data Frame?

    <p>head()</p> Signup and view all the answers

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