What are dimensions in NumPy?
An example of an AI chatbot conversation about understanding dimensions in NumPy arrays.
What are dimensions in NumPy?
In NumPy, dimensions refer to the number of axes of an array. A 1D array has one axis, a 2D array has two, and so on.
Can you give me an example of a 2D array?
Sure! A 2D array can be represented as a matrix. For example, array([[1, 2, 3], [4, 5, 6]]) is a 2D array with 2 rows and 3 columns.
How do I check the dimensions of a NumPy array?
You can check the dimensions of a NumPy array using the .ndim attribute. For example, array.ndim will return the number of dimensions.
What is the difference between a 1D and 2D array?
A 1D array is a single line of elements, while a 2D array is a grid of elements with rows and columns. They are used for different types of data representation.
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