I’m using the nltk library’s movie_reviews corpus which contains a large number of documents. My task is get predictive performance of these reviews with pre-processing of the data and without pre-processing. But there is problem, in lists documents and documents2 I have the same documents and I need shuffle them in order to keep same order in bo….
Why is random.shuffle returning None in Python?
>>> x = [‘foo’,’bar’,’black’,’sheep’]
>>> from random import shuffle
>>> print shuffle(x)
How do I get the shuffled value instead of None?
I have two numpy arrays of different shapes, but with the same length (leading dimension). I want to shuffle each of them, such that corresponding elements continue to correspond — i.e. shuffle them in unison with respect to their leading indices.
This code works, and illustrates my goals:
def shuffle_in_unison(a, b):
assert len(a) == len(b)
What’s the easiest way to shuffle an array with python?
I have the following DataFrame:
Col1 Col2 Col3 Type
0 1 2 3 1
1 4 5 6 1
20 7 8 9 2
21 10 11 12 2
45 13 14 15 3
46 16 17 18 3
The DataFrame is read from a CSV file. All rows which have Type 1 are on top, followed by the rows with Type 2, fol….
How do I shuffle a list of objects? I tried random.shuffle:
b = [object(), object()]
But it outputs: