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Which of the following statements about 2D arrays in Python is true?
- a)2D arrays are always rectangular in shape.
- b)2D arrays can have different data types in each row.
- c)2D arrays are not supported in Python.
- d)2D arrays can only store numerical values.
Correct answer is option 'B'. Can you explain this answer?
Most Upvoted Answer
Which of the following statements about 2D arrays in Python is true?a)...
2D arrays in Python
Introduction:
A 2D array, also known as a two-dimensional array or matrix, is a collection of elements organized in a grid-like structure. Each element in a 2D array can be accessed by specifying its row and column indices. In Python, 2D arrays are typically implemented using nested lists or NumPy arrays.
Statement analysis:
Let's analyze each statement to determine which one is true:
a) 2D arrays are always rectangular in shape.
This statement is not true. 2D arrays can have a rectangular shape, but they can also have irregular shapes. In Python, 2D arrays implemented using nested lists can have rows of different lengths, resulting in a jagged or irregular shape.
b) 2D arrays can have different data types in each row.
This statement is true. In Python, each element in a 2D array can have a different data type. For example, one row of a 2D array can contain integers, while another row can contain strings. This flexibility allows for more diverse and complex data structures.
c) 2D arrays are not supported in Python.
This statement is not true. Python supports 2D arrays through various data structures, such as nested lists or NumPy arrays. These data structures provide the necessary functionality to work with 2D arrays in Python.
d) 2D arrays can only store numerical values.
This statement is not true. 2D arrays in Python can store any data type, not just numerical values. You can have 2D arrays that store integers, strings, booleans, or even other arrays.
Conclusion:
Based on the analysis, the correct statement is option B: "2D arrays can have different data types in each row." In Python, 2D arrays can have a rectangular or irregular shape, and they can store any data type in each element. This flexibility makes 2D arrays a powerful tool for representing and manipulating complex data structures in Python.
Introduction:
A 2D array, also known as a two-dimensional array or matrix, is a collection of elements organized in a grid-like structure. Each element in a 2D array can be accessed by specifying its row and column indices. In Python, 2D arrays are typically implemented using nested lists or NumPy arrays.
Statement analysis:
Let's analyze each statement to determine which one is true:
a) 2D arrays are always rectangular in shape.
This statement is not true. 2D arrays can have a rectangular shape, but they can also have irregular shapes. In Python, 2D arrays implemented using nested lists can have rows of different lengths, resulting in a jagged or irregular shape.
b) 2D arrays can have different data types in each row.
This statement is true. In Python, each element in a 2D array can have a different data type. For example, one row of a 2D array can contain integers, while another row can contain strings. This flexibility allows for more diverse and complex data structures.
c) 2D arrays are not supported in Python.
This statement is not true. Python supports 2D arrays through various data structures, such as nested lists or NumPy arrays. These data structures provide the necessary functionality to work with 2D arrays in Python.
d) 2D arrays can only store numerical values.
This statement is not true. 2D arrays in Python can store any data type, not just numerical values. You can have 2D arrays that store integers, strings, booleans, or even other arrays.
Conclusion:
Based on the analysis, the correct statement is option B: "2D arrays can have different data types in each row." In Python, 2D arrays can have a rectangular or irregular shape, and they can store any data type in each element. This flexibility makes 2D arrays a powerful tool for representing and manipulating complex data structures in Python.
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Community Answer
Which of the following statements about 2D arrays in Python is true?a)...
In Python, 2D arrays can have different data types in each row. This is because each row can be considered as a separate 1D array.
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Which of the following statements about 2D arrays in Python is true?a)2D arrays are always rectangular in shape.b)2D arrays can have different data types in each row.c)2D arrays are not supported in Python.d)2D arrays can only store numerical values.Correct answer is option 'B'. Can you explain this answer?
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Which of the following statements about 2D arrays in Python is true?a)2D arrays are always rectangular in shape.b)2D arrays can have different data types in each row.c)2D arrays are not supported in Python.d)2D arrays can only store numerical values.Correct answer is option 'B'. Can you explain this answer? for EmSAT Achieve 2025 is part of EmSAT Achieve preparation. The Question and answers have been prepared according to the EmSAT Achieve exam syllabus. Information about Which of the following statements about 2D arrays in Python is true?a)2D arrays are always rectangular in shape.b)2D arrays can have different data types in each row.c)2D arrays are not supported in Python.d)2D arrays can only store numerical values.Correct answer is option 'B'. Can you explain this answer? covers all topics & solutions for EmSAT Achieve 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Which of the following statements about 2D arrays in Python is true?a)2D arrays are always rectangular in shape.b)2D arrays can have different data types in each row.c)2D arrays are not supported in Python.d)2D arrays can only store numerical values.Correct answer is option 'B'. Can you explain this answer?.
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