def maxvalues():
for n in range(1,15):
dummy=[]
for k in range(len(MotionsAndMoorings)):
dummy.append(MotionsAndMoorings[k][n])
max(dummy
An example with a random input array, showing that you can take the max in either axis easily with one command.
import numpy as np
aa= np.random.random([4,3])
print aa
print
print np.max(aa,axis=0)
print
print np.max(aa,axis=1)
Output:
[[ 0.51972266 0.35930957 0.60381998]
[ 0.34577217 0.27908173 0.52146593]
[ 0.12101346 0.52268843 0.41704152]
[ 0.24181773 0.40747905 0.14980534]]
[ 0.51972266 0.52268843 0.60381998]
[ 0.60381998 0.52146593 0.52268843 0.40747905]