Reputation: 3290
I have multiple arrays with array names as
Level1
Level2
Level3
.
.
etc. Each array has 4 columsn and any number of rows. Columns names are of the form
AP%i BP%i AS%i BS%i
where %i
corresponds to the corresponding index in the array name (eg Level1 -> AP01 BP01 AS01 BS01
). How can I create a dtype of one such array with correct column names where column names are variables?
Upvotes: 0
Views: 611
Reputation: 179382
You can use something like this to dynamically generate the needed dtypes:
for i in xrange(1, N+1): # N is number of arrays
arr = globals()['Level%i' % i] # this gets the Level<X> value for each i
arr.dtype = [('AP%02i' % i,float), ('BP%02i' % i, float), ('AS%02i' % i, float), ('BS%02i' % i, float)]
# example
print Level1[0]['AP01']
Remember to adjust the types in the dtype according to the kind of data you actually have.
Upvotes: 1