tuples

I have a list containing tuples with a standard format: bar_list = [(bar1, bar2, bar3, bar4), (bar1, bar2, bar3, bar4), (bar1, bar2, bar3, bar4)...] Though I want to iterate through each tuple in the list and for each make specific modifications such as: foo0 = bar1 foo1 = get_foo(foo0) #get_foo(var) being a function foo2 = bar2 foo3 = bar3/2 And then repackage the revalued tuples in another list: foo_list = [(foo1, foo2, foo3), (foo1, foo2, foo3), (foo1, foo2, foo3)...] How could I accomplish this? You could use a list comprehension : foo_list = [(get_foo(bar1), bar2, bar3/2) for bar1, bar2,

so from this code: from dosql import * import cgi import simplejson as json def index(req, userID): userID = cgi.escape(userID) get = doSql() rec = get.execqry("select get_progressrecord('" + userID + "');", False) return json.dumps(rec) Notice that the variable rec, receives a query from the database, from this defined function I created in PostgreSQL: create or replace function get_progressrecord(in int, out decimal(5,2), out decimal(5,2), out decimal(4,2), out text, out int, out decimal(4,2)) returns setof record as $$ select height, weight, bmi, healthStatus, age, changePercentage from

I have written this code: n=5 dizN={} for q in range(0,n+1): h=n-q dizN['a'+str(q)+'p'+str(h)]=0 that creates such a dictionary: dizN Out[120]: {'a0p5': 0, 'a1p4': 0, 'a2p3': 0, 'a3p2': 0, 'a4p1': 0, 'a5p0': 0} Note that "n" is the basic parameter for my code. As you can see, the sum of integers present in dict keys string is always =n (=5 in this case, where n=5). It is important for me (for more difficult purposes in my program) that, for every n anyone can choose, the dict is ordered in this way: {'a0p(n)': 0, 'a1p(n-1)': 0, ....., 'a(n-1)p1': 0, 'a(n)p0': 0} My code is ok, but only for n

I have a long list of tuples and want to remove any tuple that has a nan in it using Python. What I currently have: x = [('Recording start', 0), (nan, 4), (nan, 7), ..., ('Event marker 1', 150)] Result I'm looking for: x = [('Recording start', 0), ('Event marker 1', 150)] I've tried use np.isnan and variants of that, but have had no success and keep getting an error: ufunc 'isnan' is not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule "safe" Any suggestions would be appreciated!! You could use list comprehension