Multidimensional collections
Categories: magic methods
In the article on magic methods for collections we saw how to implement collection behaviours for our example matrix class. We implemented support of built-in function len
, support for for loops and the in
operator. We also saw how to might implement del
, although our 2 by 2 matrix doesn't allow it.
For getting and setting elements, we implemented __getitem__
and __setitem__
as if the matrix was a list of 4 elements. In thi sarticle we will see how to improve that.
Supporting two dimensional selection
Our Matrix is a 2D array, so wouldn't it be nice to support (row, column) style selection? It would be nice if we could use a syntax like:
a[0, 1] #row 0, columns 1
Well we can! The numpy library does exactly this, and we can easily support this with our Matrix class.
If you are familiar with dictionaries, you will know that a dictionary is indexed by keys rather than integers. A key can be an integer, or a string, but it can also be a tuple:
d = dict()
d[0] = 0
d['two'] = 2
d[(0, 1)] = 3
print(d)
This gives the result:
{0: 0, 'two': 2, (0, 1): 3}
Thanks to the magic of tuple packing we can write d[(0, 1)]
as d[0, 1]
. So we can do this:
d[0, 1] = 10
print(d)
which gives:
{0: 0, 'two': 2, (0, 1): 10}
We need to do a similar thing with our matrix class.
Two dimensional getters and setters
Previously our getter and setter accepted and index of the item in list of length 4:
def __getitem__(self, i):
return self.data[i]
But now instead we want to pass in a tuple (row, col)
. So we need to modify our code like this:
def __getitem__(self, t):
row, col = t
return self.data[row*2 + col]
We can now do this:
m = Matrix(1, 2, 3, 4)
print(m[1, 0])
This prints matrix row 1, column 0, which is the value 3.
We can do a similar thing with the setter:
def __setitem__(self, t, value):
row, col = t
self.data[row*2 + col] = value
which allows us to do this:
m[0, 1] = 5
print(m)
The matrix has now been updated, with row 0 column 1 set to 5:
[1, 5][3, 4]
See also
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