How to convert a 3d numpy array to 2d

by 
In [27]: x = np.arange(16).reshape((4,2,2))

In [28]: x.reshape(2,2,2,2).swapaxes(1,2).reshape(4,-1)
Out[28]: 
array([[ 0,  1,  4,  5],
       [ 2,  3,  6,  7],
       [ 8,  9, 12, 13],
       [10, 11, 14, 15]])

I’ve posted more general functions for reshaping/unshaping arrays into blocks, here.

More Related Contents:

  1. Check if two 3D numpy arrays contain overlapping 2D arrays
  2. What is the difference between ndarray and array in NumPy?
  3. How does the axis parameter from NumPy work?
  4. What are the advantages of NumPy over regular Python lists?
  5. Using numpy to build an array of all combinations of two arrays
  6. Understanding NumPy’s einsum
  7. Intuition and idea behind reshaping 4D array to 2D array in NumPy
  8. How does numpy.newaxis work and when to use it?
  9. What is the difference between flatten and ravel functions in numpy?
  10. Concatenating two one-dimensional NumPy arrays
  11. Why is numpy’s einsum faster than numpy’s built in functions?
  12. Calculate mean across dimension in a 2D array
  13. Selecting specific rows and columns from NumPy array
  14. How do I use np.newaxis?
  15. Convert a 1D array to a 2D array in numpy
  16. Subsetting a 2D numpy array
  17. Selecting Random Windows from Multidimensional Numpy Array Rows
  18. How to split a numpy array in fixed size chunks with and without overlap?
  19. How to find the index of a value in 2d array in Python?
  20. Why using an array as an index changes the shape of a multidimensional ndarray?
  21. What is the purpose of meshgrid in Python / NumPy?
  22. Partition array into N chunks with Numpy
  23. Python: how to store a numpy multidimensional array in PyTables?
  24. Access n-th dimension in python [duplicate]
  25. Mapping a NumPy array in place
  26. Convert Python sequence to NumPy array, filling missing values
  27. numpy matrix vector multiplication [duplicate]
  28. Numpy modify array in place?
  29. pd.Timestamp versus np.datetime64: are they interchangeable for selected uses?
  30. Prevent numpy from creating a multidimensional array

Leave a Comment