Fancy Indexing

Let’s learn about fancy indexing in Python.

Fancy indexing allows us to select entire rows or columns out of order.

Let’s create a NumPy array to see how it works!

Do you remember zeros(), range(), shape and broadcasting?

Let’s revise these concepts:

  • Setting array_2d = np.zeros((5,5)) creates a 2-D array of 5 rows and 5 columns containing all zeros.
  • Setting array_2d[1]=1 broadcasts 1 to the complete 2nd row.
  • Setting array_2d[2]=2 broadcasts 2 to the 3rd row.
  • Setting array_2d[3]=3 broadcasts 3 to the 4th row.
  • Setting array_2d[4]=4 broadcasts 4 to the 5th row.
  • Passing print(array_2d) prints a matrix.

Let’s also try using the for loop for the tasks given above to see if it works. The comments are provided for revision:

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