Pythonic way to get some rows of a matrix
Question:
I was thinking about a code that I wrote a few years ago in Python, at some point it had to get just some elements, by index, of a list of lists.
I remember I did something like this:
def getRows(m, row_indices):
tmp = []
for i in row_indices:
tmp.append(m[i])
return tmp
Now that I’ve learnt a little bit more since then, I’d use a list comprehension like this:
[m[i] for i in row_indices]
But I’m still wondering if there’s an even more pythonic way to do it. Any ideas?
I would like to know also alternatives with numpy o any other array libraries.
Answers:
It’s the clean an obvious way. So, I’d say it doesn’t get more Pythonic than that.
It’s worth looking at NumPy for its slicing syntax. Scroll down in the linked page until you get to "Indexing, Slicing and Iterating".
As Curt said, it seems that Numpy is a good tool for this. Here’s an example,
from numpy import *
a = arange(16).reshape((4,4))
b = a[:, [1,2]]
c = a[[1,2], :]
print a
print b
print c
gives
[[ 0 1 2 3]
[ 4 5 6 7]
[ 8 9 10 11]
[12 13 14 15]]
[[ 1 2]
[ 5 6]
[ 9 10]
[13 14]]
[[ 4 5 6 7]
[ 8 9 10 11]]
I was thinking about a code that I wrote a few years ago in Python, at some point it had to get just some elements, by index, of a list of lists.
I remember I did something like this:
def getRows(m, row_indices):
tmp = []
for i in row_indices:
tmp.append(m[i])
return tmp
Now that I’ve learnt a little bit more since then, I’d use a list comprehension like this:
[m[i] for i in row_indices]
But I’m still wondering if there’s an even more pythonic way to do it. Any ideas?
I would like to know also alternatives with numpy o any other array libraries.
It’s the clean an obvious way. So, I’d say it doesn’t get more Pythonic than that.
It’s worth looking at NumPy for its slicing syntax. Scroll down in the linked page until you get to "Indexing, Slicing and Iterating".
As Curt said, it seems that Numpy is a good tool for this. Here’s an example,
from numpy import *
a = arange(16).reshape((4,4))
b = a[:, [1,2]]
c = a[[1,2], :]
print a
print b
print c
gives
[[ 0 1 2 3]
[ 4 5 6 7]
[ 8 9 10 11]
[12 13 14 15]]
[[ 1 2]
[ 5 6]
[ 9 10]
[13 14]]
[[ 4 5 6 7]
[ 8 9 10 11]]