NumPy, .reshape()

Question

What does this code do?

climate_results = np.concatenate((climate_data, yields.reshape(1000, 1)), axis=1)

Note : I have a variable called climate_data and yields

Answer 1

numpy.concatenate(), concatenate two arrays.

(in your code you have 1000 row for climate_data and in this example I have 2 row for climate_data and we should reshape to 1000 or 2 row that can concatenate two array) see this example:

climate_data = np.array([[1,2],[3,4]])
# array([[1, 2],
#        [3, 4]])

yields = np.array([0,1])
# array([0, 1])

yields = np.array([0,1]).reshape(2,1)
# array([[0],
#        [1]])

climate_results = np.concatenate((climate_data, yields.reshape(2, 1)), axis=1)
climate_results

Output:

array([[1, 2, 0],
       [3, 4, 1]])

You can concatenate in axis=0 like below:

climate_data = np.array([[1,2],[3,4]])
yields = np.array([[0,1]])
# array([[0, 1]])
climate_results = np.concatenate((climate_data, yields), axis=0)

Output:

array([[1, 2],
       [3, 4],
       [0, 1]])