In this article, we will learn how to convert 2D Numpy Array to a nested list i.e. list of lists.
Given a 2D list, write a Python program to convert the given list into a flattened list. Mylist = 1, 2, 3, 4, 5, 6 answer = for i in mylist: answer += i. Programs often must model 2 dimensions, not just one. In a Python list we can place other lists: this creates a 2D representation of objects.
Convert 2D Numpy Array to list of lists using tolist()
In Python’s numpy module, the ndarray class provides a member function tolist(), which returns a list containing the copy of elements in the numpy array. If numpy array is 2D, then it returns a list of lists. For example,
Output:
It returned a list of lists with the copy of elements in the two dimensional numpy array.
Convert 2D Numpy array to list of lists using iteration
2D lists are very powerful and used in data science and machine learning. 2D lists in python can also be called as multidimensional lists. The 2D list is a list in which each item is also a list. You can create a 2D list by creating a list like the following which is similar to a matrix.
Create an empty list and iterate over all the rows in 2D numpy array one by one. For each of the row, we can add it to the list as a sub list. At the end of the iteration, we will have a list of lists containing all the elements from 2D numpy array. For example,
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Output:
Convert 2D Numpy Array to a flat list
Python Multidimensional List
In both the previous solutions, we converted the 2D Numpy array to a nested list i.e. list of lists. What if we want to convert 2D array to a flat list ? For that we need to first flatten the 2D numpy array to a 1D numpy array and then call tolist() function on that. For example,
Output:
Summary:
Python 2d List Initialize
In this article we learned about different ways to convert a 2D Numpy array to either list of lists or a flat list in python