Programming Quiz: Pandas Software Library (True/False)

Approved & Edited by ProProfs Editorial Team
The editorial team at ProProfs Quizzes consists of a select group of subject experts, trivia writers, and quiz masters who have authored over 10,000 quizzes taken by more than 100 million users. This team includes our in-house seasoned quiz moderators and subject matter experts. Our editorial experts, spread across the world, are rigorously trained using our comprehensive guidelines to ensure that you receive the highest quality quizzes.
Learn about Our Editorial Process
| By Catherine Halcomb
C
Catherine Halcomb
Community Contributor
Quizzes Created: 1452 | Total Attempts: 5,815,393
Questions: 10 | Attempts: 261

SettingsSettingsSettings
Programming Quiz: Pandas Software Library (True/False) - Quiz

Are you well familiar with the Pandas software library? It was written for Python programming language, with the ability to provide data structures and operations for data manipulation and analysis. So, if you know Pandas well, then can you answer these questions as well?


Questions and Answers
  • 1. 

    Series is a one-dimensional labeled array capable of holding any data type.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    The statement is true because a series in Python is indeed a one-dimensional labeled array that can hold any data type. It is similar to a column in a spreadsheet or a database table. The labels, also known as indexes, can be customized or automatically assigned. This allows for easy data manipulation and analysis, making series a versatile data structure in Python.

    Rate this question:

  • 2. 

    If data is an ndarray, index must be the same length as data.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    The statement is true because when working with ndarrays, the index must have the same length as the data. This means that if the data array has a certain number of elements, the index array must also have the same number of elements. If the lengths do not match, it would not be possible to correctly align the index with the corresponding data values, leading to incorrect or inconsistent results.

    Rate this question:

  • 3. 

    Panel is a container for Series, and DataFrame is a container for dataFrame objects.

    • A.

      True

    • B.

      False

    Correct Answer
    B. False
  • 4. 

    Pandas consist of static and moving window linear and panel regression.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    Pandas is a popular data manipulation library in Python that provides various functionalities for data analysis. It includes static and moving window linear regression, which allows analyzing the relationship between variables over a fixed or moving time period. Additionally, it also supports panel regression, which is a statistical method for analyzing data with multiple dimensions or panels. Therefore, the statement that "Pandas consist of static and moving window linear and panel regression" is true.

    Rate this question:

  • 5. 

    The iteritems() brings horizontal subsets from a dataframe

    • A.

      True

    • B.

      False

    Correct Answer
    B. False
    Explanation
    The statement is false because the iteritems() function does not bring horizontal subsets from a dataframe. Instead, it is used to iterate over the column names and their respective series in a dataframe. It returns a sequence of tuples containing the column name and the series as key-value pairs.

    Rate this question:

  • 6. 

    Sorting refers to arranging values in a particular order.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    Sorting is indeed the process of arranging values in a specific order, such as ascending or descending order. This involves rearranging the elements in a list or collection so that they follow a certain pattern or sequence. Therefore, the statement "Sorting refers to arranging values in a particular order" is true.

    Rate this question:

  • 7. 

    To access subset of a dataframe we can use loc() method.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    The explanation for the given correct answer is that the loc() method in pandas allows us to access subsets of a dataframe by using labels for both the rows and columns. This method is particularly useful when we want to select specific rows or columns based on their labels or when we want to perform operations on a subset of the dataframe. Therefore, the statement is true.

    Rate this question:

  • 8. 

    The value NaN/NAT/None are the same in Pandas.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    In Pandas, NaN (Not a Number), NAT (Not a Time), and None are all considered to be missing or null values. They are used to represent missing or undefined data in a DataFrame or Series. Therefore, the statement that "the value NaN/NAT/None are the same in Pandas" is true.

    Rate this question:

  • 9. 

    When you create a dataframe object, it gets its row numbers and column labels automatically.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    When a dataframe object is created, it automatically assigns row numbers and column labels. This allows for easy reference and manipulation of the data within the dataframe. Therefore, the statement "When you create a dataframe object, it gets its row numbers and column labels automatically" is true.

    Rate this question:

  • 10. 

    Scatter_matrix is the name of Pandas library tools used to create a scatter plot matrix

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    The statement is true because scatter_matrix is indeed the name of a Pandas library tool that is used to create a scatter plot matrix. A scatter plot matrix is a grid of scatter plots that allows us to visualize the relationship between multiple variables in a dataset. The scatter_matrix function in Pandas allows us to quickly and easily create this grid of scatter plots, providing a useful tool for exploratory data analysis.

    Rate this question:

Related Topics

Back to Top Back to top
Advertisement
×

Wait!
Here's an interesting quiz for you.

We have other quizzes matching your interest.