How Much Do You Know About Python Panda?
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Which of the following thing can be data in Pandas?
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A python dict
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An ndarray
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A scalar value
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All of the mentioned
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How familiar are you with Python Pandas? If pretty much, you may already know that it a great choice for data science and analysis. To learn in detail, take the online quiz to see how well do you know Python Panda and learn more as you play.
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- 2.
Point out the correct statement.
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If data is a list, if index is passed the values in data corresponding to the labels in the index will be pulled out
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NaN is the standard missing data marker used in pandas
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Series acts very similarly to a array
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None of the mentioned
Correct Answer
A. NaN is the standard missing data marker used in pandasExplanation
The correct statement is that NaN is the standard missing data marker used in pandas. In pandas, missing values are often represented as NaN, which stands for "Not a Number". This allows for easy identification and handling of missing data in data analysis and manipulation tasks.Rate this question:
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- 3.
Which of the following input can be accepted by DataFrame?
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Structured ndarray
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Series
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DataFrame
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All of the mentioned
Correct Answer
A. All of the mentionedExplanation
A DataFrame in pandas can accept all of the mentioned inputs, which include a structured ndarray, a Series, and another DataFrame. This means that a DataFrame can be created from any of these input types, allowing for a versatile and flexible data manipulation and analysis tool.Rate this question:
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- 4.
Point out the wrong statement.
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A DataFrame is like a fixed-size dict in that you can get and set values by index label
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Series can be be passed into most NumPy methods expecting an ndarray
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A key difference between Series and ndarray is that operations between Series automatically align the data based on label
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None of the mentioned
Correct Answer
A. A DataFrame is like a fixed-size dict in that you can get and set values by index labelExplanation
The given statement "A DataFrame is like a fixed-size dict in that you can get and set values by index label" is incorrect. A DataFrame is not like a fixed-size dict, as it is a two-dimensional data structure that can store data of different types, whereas a fixed-size dict can only store data of the same type. Additionally, in a DataFrame, you can get and set values not only by index label but also by column name.Rate this question:
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- 5.
All pandas data structures are ___ mutable but not always _______mutable.
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Size, value
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Semantic, size
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Value, size
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None of the mentioned
Correct Answer
A. Value, sizeExplanation
All pandas data structures are mutable, meaning that they can be modified after they are created. However, they are not always size mutable, which means that the size of the data structure cannot always be changed once it is created. This is because some pandas data structures, such as Series and DataFrame, have a fixed size once they are created, while others, such as Index and RangeIndex, can have their size modified. Therefore, the correct answer is "value, size".Rate this question:
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- 6.
Point out the correct statement.
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Pandas consist of set of labeled array data structures
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Pandas consist of an integrated group by engine for aggregating and transforming data sets
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Pandas consist of moving window statistics
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All of the mentioned
Correct Answer
A. All of the mentionedExplanation
The correct statement is "All of the mentioned". This means that all the statements mentioned in the question are true. Pandas indeed consist of a set of labeled array data structures, an integrated group by engine for aggregating and transforming data sets, and moving window statistics.Rate this question:
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- 7.
Which of the following statement will import pandas?
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Import pandas as pd
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Import panda as py
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Import pandaspy as pd
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All of the mentioned
Correct Answer
A. Import pandas as pdExplanation
The correct answer is "import pandas as pd" because this statement imports the pandas library and assigns it the alias "pd". This allows us to use the functions and methods provided by pandas in our code by using the "pd" prefix. The other options are incorrect because they either have a typo ("panda" instead of "pandas") or use a different alias ("py" instead of "pd").Rate this question:
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- 8.
Point out the wrong statement.
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Series is 1D labeled homogeneously-typed array.
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DataFrame is general 2D labeled, size-mutable tabular structure with potentially heterogeneously-typed columns.
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Panel is generally 2D labeled, also size-mutable array.
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None of the mentioned
Correct Answer
A. Panel is generally 2D labeled, also size-mutable array.Explanation
The given answer is correct. The statement "Panel is generally 2D labeled, also size-mutable array" is incorrect. Panel is a data structure in pandas that was deprecated in version 0.20.0 and removed in version 0.25.0. It was a 3D labeled data structure with heterogeneous data types. Therefore, the correct statement is "None of the mentioned."Rate this question:
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- 9.
Which of the following library is similar to Pandas?
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NumPy
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RPy
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OutPy
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None of the mentioned
Correct Answer
A. NumPyExplanation
NumPy is similar to Pandas because both libraries are widely used in data analysis and manipulation. They provide efficient data structures and functions for handling large datasets, performing mathematical operations, and working with multi-dimensional arrays. While Pandas focuses more on providing high-level data manipulation tools and data analysis capabilities, NumPy is primarily focused on numerical computing and provides a foundation for many other scientific computing libraries. Therefore, NumPy is the most similar library to Pandas among the options given.Rate this question:
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- 10.
Which of the following is used for testing for membership in the list of column names?
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In
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Out
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Elseif
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None of the mentioned
Correct Answer
A. InExplanation
The keyword "in" is used for testing membership in Python. In this context, it can be used to check if a given item is present in a list of column names.Rate this question:
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Apr 07, 2024Quiz Edited by
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Mar 08, 2021Quiz Created by
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