Numpy collapse last dimension

>>> arr = numpy.zeros((50,100,25))
>>> arr.shape
# (50, 100, 25)

>>> new_arr = arr.reshape(5000,25)
>>> new_arr.shape   
# (5000, 25)

# One shape dimension can be -1. 
# In this case, the value is inferred from 
# the length of the array and remaining dimensions.
>>> another_arr = arr.reshape(-1, arr.shape[-1])
>>> another_arr.shape
# (5000, 25)

Source: stackoverflow.com

Similar codes

-4 votes114 views5 answers
Current django version
Python
1 vote121 views1 answer
Python print how long it takes to run
Python
2 votes107 views1 answer
Difference between set and list in python
Python
0 vote178 views1 answer
Circular import python
Python
1 vote118 views1 answer
Hot reloading flask
Python
2 votes120 views2 answers
Python socket get client ip address
Python
30 votes240 views6 answers
How to create a superuser in django
Python Django
0 vote145 views1 answer
Django on_delete rules
Python Django
3 votes125 views1 answer
Python split on first occurrence
Python
0 vote123 views1 answer
Is file a keywoard in python
Python