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

0 vote170 views1 answer
5+2 in python
Python
1 vote209 views1 answer
Make lists for each 2 items in a list
Python
0 vote214 views1 answer
B12 vegetables only
Python
6 votes211 views2 answers
Pandas count rows in column
Python
22 votes202 views6 answers
Sort key python
Python
0 vote229 views1 answer
Python print all variables in memory
Python
0 vote220 views1 answer
Drop specific column in data
Python
0 vote209 views1 answer
Pandas typr of each cell in series
Python
3 votes197 views1 answer
Factorial program
Python
0 vote227 views1 answer
Python local date time
Python