Hi All,
I am using JupyterQ and have two 2 tables in q:
tbl1: ([]month:(1997.01;1997.01;1997.01); ric:(3#
GTGS.SI); date:(1997.01.06T01:19:21.160;1997.01.06T01:53:57.230;1997.01.06T07:24:19.240); price:(0.71;0.72;0.73));tbl2: (month:(1997.01;1997.01;1997.01); ric:(3#NSWF.SI); date:(1997.01.06T01:19:21.160;1997.01.06T01:53:57.230;1997.01.06T07:24:19.240); price:(0.45;0.46;0.47));
I have a class teCalc defined in python.
I want to pass to it two arrays as follows (in python):
teCalc.addObservations(tbl1, tbl2)
How do I pass those q tables to the class in python?
The following function:
print .p.import[
numpy;:array][tbl1]
gives me:
{'month': array([1997.01, 1997.01, 1997.01]), 'ric': ['GTGS.SI', 'GTGS.SI', 'GTGS.SI'], 'date': array([-1089.94489398, -1089.92086539, -1089.69144398]), 'price': array([0.71, 0.72, 0.73])}
So I can see that it is possible to convert the table in q to a python object.
However, all my attempts to assign it to a variable in python have failed. If I reference either tbl1 or tbl2 in a python line of code in JupyterQ (for example p)print(tbl1)
) then the tbl1 variable name isn’t recognised.
Please do advise. How do I use data from Q on a class created in Python in JupyterQ?
Thanks and regards,
Simon