Custom data type in a matrix.

[Gaz]

Hi guys. I've been lookig for this in the numpy pdf manual, in this
group and on google, but i could not get an answer...

Is there a way to create a custom data type (eg: Name: string(30), Age:
int(2), married: boolean, etc) and then use that custom data in a
matrix? Actually, this is a two question question

Im doing a simple hex based game and i need a way to store every hex
property (color, owner,x, y, etc) in a matrix's "cell", representing
each cell a hex.

Thank you.

 

[Gaz]

BTW, i tried the "classe Thinge(): pass" but does not qualify as "data
type" for a numpy array.

 

[Robert Kern]

Hi guys. I've been lookig for this in the numpy pdf manual, in this
group and on google, but i could not get an answer...

You will probably want to look or ask on the numpy list, too.

https://lists.sourceforge.net/lists/listinfo/numpy-discussion

Is there a way to create a custom data type (eg: Name: string(30), Age:
int(2), married: boolean, etc) and then use that custom data in a
matrix? Actually, this is a two question question

Yes. Use record arrays. They are discussed in section 8.5 of the _The Guide to
NumPy_ if you have the book. There is another example of using record arrays on
the SciPy wiki (although it is less focused on combining different data types
than it is named column access):

http://www.scipy.org/RecordArrays

Here is an example:

In [18]: from numpy import *

In [19]: rec.fromrecords([['Robert', 25, False], ['Thomas', 53, True]],
names='name,age,married', formats=['S30', int, bool])
Out[19]:
recarray([('Robert', 25, False), ('Thomas', 53, True)],
dtype=[('name', '|S30'), ('age', '>i4'), ('married', '|b1')])

In [21]: Out[19].name
Out[21]:
chararray([Robert, Thomas],
dtype='|S30')

In [22]: Out[19].age
Out[22]: array([25, 53])

In [23]: Out[19].married
Out[23]: array([False, True], dtype=bool)

You can also use object arrays if you need to implement classes and not just
dumb, basic types:

In [33]: class Hex(dict):
....: def __init__(self, **kwds):
....: dict.__init__(self, **kwds)
....: self.__dict__ = self
....:
....:

In [34]: field = array([Hex(color=(0,0,0), owner='Player1', x=10, y=20,
etc='Black hex owned by Player1'),
....: Hex(color=(1,1,1), owner='Player2', x=10, y=21,
etc='White hex owned by Player2')], dtype=object)

In [35]:

In [35]: field
Out[35]: array([{'y': 20, 'etc': 'Black hex owned by Player1', 'color': (0, 0,
0), 'owner': 'Player1', 'x': 10}, {'y': 21, 'etc': 'White hex owned by Player2',
'color': (1, 1, 1), 'owner': 'Player2', 'x': 10}], dtype=object)

--
Robert Kern
(e-mail address removed)

"I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an underlying truth."
-- Umberto Eco

 

[Diez B. Roggisch]

Hi guys. I've been lookig for this in the numpy pdf manual, in this
group and on google, but i could not get an answer...

Is there a way to create a custom data type (eg: Name: string(30), Age:
int(2), married: boolean, etc) and then use that custom data in a
matrix? Actually, this is a two question question

Im doing a simple hex based game and i need a way to store every hex
property (color, owner,x, y, etc) in a matrix's "cell", representing
each cell a hex.

You don't want numpy - you want ordinary lists in lists. Consider this:

class Hex(object):
def __init__(self, x, y):
self.x, self.y = x, y
self.terrain_type = "unknown"


map = [[Hex(x, y) for y in xrange(height)] for x in xrange(width)]


There is no advantage of using numpy whatsoever - your fields aren't
subject to mathematical operations or other transformations/selections.

Diez

 

[Gaz]

And how im supposed to assign data to a specific hex?

 

[Diez B. Roggisch]

And how im supposed to assign data to a specific hex?

How would you have done it using numarray? Accessing a specific field is
done using slicing:

fields[x][y].property = value

Diez

 

[Diez B. Roggisch]

How would you have done it using numarray? Accessing a specific field is
done using slicing:

The term slicing is of course wrong here - it's called array index access.

Diez