Say you want to create a 2D numpy array, and want to populate it with sequential integers. What are the options available?
Example:
import numpy
a=numpy.array([[0,1,2,3,4],[5,6,7,8,9],[10,11,12,13,14]])
In this case of course I could use range(15) to determine the upper boundary, but how to tell numpy to create a new row after 5 values? I am looking for a general solution, as my real problem revolves around a 2D array with 466 columns and 365 rows.
Just use .reshape on a normal np.arange call, which will simply reshape your array without changing its data.
In[101]: np.arange(15).reshape(3, 5)
Out[101]:
array([[ 0, 1, 2, 3, 4],
[ 5, 6, 7, 8, 9],
[10, 11, 12, 13, 14]])
In[102]: np.arange(466*365).reshape(466, 365)
Out[102]:
array([[ 0, 1, 2, ..., 362, 363, 364],
[ 365, 366, 367, ..., 727, 728, 729],
[ 730, 731, 732, ..., 1092, 1093, 1094],
...,
[168995, 168996, 168997, ..., 169357, 169358, 169359],
[169360, 169361, 169362, ..., 169722, 169723, 169724],
[169725, 169726, 169727, ..., 170087, 170088, 170089]])