In this article, we will learn how to convert 2D Numpy Array to a nested list i.e. list of lists.
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,
import numpy as np # Create 2D Numpy Array arr = np.array([[1, 2, 3, 4], [5, 6, 7, 8], [3, 3, 3, 3]]) print(arr) # Convert 2D Numpy Array to list of lists list_of_lists = arr.tolist() print(list_of_lists)
Output:
[[1 2 3 4] [5 6 7 8] [3 3 3 3]] [[1, 2, 3, 4], [5, 6, 7, 8], [3, 3, 3, 3]]
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
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,
import numpy as np # Create 2D Numpy array filled with 0's arr = np.zeros( (4, 5), dtype=np.int64) print(arr) # Convert 2D Numpy Array to list of lists list_of_lists = list() for row in arr: list_of_lists.append(row.tolist()) print(list_of_lists)
Output:
[[0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0]] [[0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0]]
Convert 2D Numpy Array to a flat 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,
import numpy as np # Create 2D Numpy array filled with 0's arr = np.zeros( (4, 5), dtype=np.int64) print(arr) # Convert 2D Numpy array to a flat list num_list = arr.flatten().tolist() print(num_list)
Output:
[[0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0]] [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Summary:
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
Pandas Tutorials Learn Data Analysis with Python

Pandas Tutorial Part #1  Introduction to Data Analysis with Python

Pandas Tutorial Part #2  Basics of Pandas Series

Pandas Tutorial Part #3  Get & Set Series values

Pandas Tutorial Part #4  Attributes & methods of Pandas Series

Pandas Tutorial Part #5  Add or Remove Pandas Series elements

Pandas Tutorial Part #6  Introduction to DataFrame

Pandas Tutorial Part #7  DataFrame.loc[]  Select Rows / Columns by Indexing

Pandas Tutorial Part #8  DataFrame.iloc[]  Select Rows / Columns by Label Names

Pandas Tutorial Part #9  Filter DataFrame Rows

Pandas Tutorial Part #10  Add/Remove DataFrame Rows & Columns

Pandas Tutorial Part #11  DataFrame attributes & methods

Pandas Tutorial Part #12  Handling Missing Data or NaN values

Pandas Tutorial Part #13  Iterate over Rows & Columns of DataFrame

Pandas Tutorial Part #14  Sorting DataFrame by Rows or Columns

Pandas Tutorial Part #15  Merging or Concatenating DataFrames

Pandas Tutorial Part #16  DataFrame GroupBy explained with examples
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