3 - How to find Dimension of Numpy Array | NumPy Coding

NumPy Coding | How to find Dimension of Numpy Array | Python Library for Data Science

1-dimensional (1D) NumPy array is a linear sequence of values. It's like a list of numbers but with the added advantage of supporting powerful numerical operations and efficient memory management. Creating a 1D NumPy array is quite simple

2-dimensional (2D) NumPy array is like a table or a grid of values organized in rows and columns. Each element in a 2D array is uniquely identified by its row and column index. Creating a 2D NumPy array involves arranging your data into rows and columns.

3-dimensional (3D) NumPy array adds another layer of complexity by introducing depth or multiple 2D arrays stacked on top of each other. It's like having a collection of 2D arrays organized in a 3D space. Creating a 3D NumPy array involves arranging your data in multiple rows, columns, and depth levels.

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