Reputation: 294
I have a matrix epoch in which epoch[i][0] is a m x 5 array, where m varies for each i. For example,
epoch[0][0] = [[-5.50571416e-21, -5.92923063e-21, 4.23516474e-21,
-2.54109884e-21, -5.08219768e-21],
[-3.03901510e-06, -1.40172574e-06, -8.46450345e-07,
-3.90002708e-06, -5.56446205e-07],
[-7.01145041e-06, -3.47478034e-06, 9.50491200e-08,
-6.93224460e-06, -3.56839111e-06]]]
epoch[1][0] = [[-5.50571416e-21, -5.92923063e-21, 4.23516474e-21,
-2.54109884e-21, 8],
[-3, -1, -8.46450345e-07,
-3.90002708e-06, -5.56446205e-07]
]]
I want to vertically stack epoch[i][0] for all i. When I try
np.vstack((epoch[0][0],epoch[1][0]))
it works, but when I try a for loop, I get an error. Here's my loop:
X = []
for i in range(19): #there are 19 segments
X=np.vstack((X,epoch[i][0]))
Here's my error:
ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 1, the array at index 0 has size 0 and the array at index 1 has size 5
Can someone help?
Upvotes: 0
Views: 413