thanks Anthony,
your answer looks really great, exactly what I was looking for and more ;-)
I'll probably try it to morrow.
cheers,
Stef
On 01-Jan-15 22:39, Anthony wrote:
In that case, I wouldn't bother having the DAL create a Rows object.
Instead, the database cursor will return a list of tu
In that case, I wouldn't bother having the DAL create a Rows object.
Instead, the database cursor will return a list of tuples, which you can
feed directly to numpy to create an array. There are two approaches to do
this:
import numpy as np
my_array = np.asarray(db.executesql(db(query)._select(
thanks Anthony,
No, I don't need a list of dictionairies.
From your question, I assume there's also a way to get a plain table ?
I need a list of lists or even better a 2D-numpy array (so I can easily
perform some conversions).
The final list of lists (or numpy array) must be converted to a csv
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