qpython to select columns from table

[powerpeanuts]

This is about qpython code. Let's say we have a table named "t" with 2 columns "name" and "iq" in kdb:

from qpython import qconnection, qcollection
q = qconnection.QConnection(host='localhost', port=5000):
q.open()
q("t:flip `name`iq!(`Dent`Beeblebrox`Prefect;98 42 126)")

How can we pass the column name and table name through qpython? Thanks.

pseudo code:

q({select x from y}, "iq", "t")

[rocuinneagain]

Some ways:

q("{((),x)#y}", numpy.string_("iq"), numpy.string_("t"))
q("{value\"select \",string[x],\"from \",string y}", "iq", "t")
q("select %s from %s" % ("iq","t"))
q("{?[y;();0b;{x!x}(),x]}", numpy.string_("iq"), numpy.string_("t"))

1. Using # https://code.kx.com/q/ref/take/
2. Using value https://code.kx.com/q/ref/value/ 
3. Python string formatting
4. Functional select https://code.kx.com/q/basics/funsql/ 

Functional selects are the most powerful way https://code.kx.com/q/wp/parse-trees/ 

[powerpeanuts]

Thanks @rocuinneagain. I was trying the functional select and have to convert the strings to <class 'numpy.bytes_'> first (I am using python 3), i.e.   

q("{?[y;();0b;{x!x}(),x]}", np.bytes_("iq"), np.bytes_("t"))

[rocuinneagain]

See docs for more on how the library handles difference between symbols and strings:

https://qpython.readthedocs.io/en/latest/type-conversion.html#string-and-symbols 

(Answer above updated to use numpy.string_ to pass symbols as needed)