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 votes188 views1 answer
Fixed precision float python
Python
0 vote186 views1 answer
Datatime add time in float
Python
9 votes186 views6 answers
Join pandas dataframe by column
Python
0 vote176 views1 answer
Start of the american labor movement
Python
0 vote190 views1 answer
Expand pandas dataframe into separate rows
Python
14 votes186 views3 answers
Getting ip address based on phone number python
Python
10 votes191 views1 answer
How to check version of pip in anaconda
Python
1 vote160 views1 answer
Pandas subtract columns
Python
1 vote195 views1 answer
Django filter by date range
Python
47 votes204 views6 answers
Random float python
Python