how to increase the performance of the aggregate when impedance is changed to time?

Question

I am trying to use the aggregate function in pandana with impedance as time. Firstly, I passed time in seconds to the weights in network. The performance was too slow for 120seconds. Later I converted seconds to minutes and passed to weights which increased the performance a bit, but how do I increase the performance such that it responds quickly as it responds to when the impedance is in distance?

Also, I have a query. While passing time to the aggregate function. Should we pass in seconds or minutes? I assume, as I pass time in seconds to network the seconds has to pass to aggregate and minutes if the time is in minutes. Am I correct?

code when the time is in minutes it returned the results in 6min.

```%%time

network.set(nodes, 
            name = 'etc')
accessibility = network1.aggregate(30,
                                  type = 'count', imp_name='travel_time_seconds',
                                  name = 'etc')

code when the time is in seconds it kept running and kernel was dead after a while.
%%time

network.set(nodes, 
            name = 'etc')
accessibility = network.aggregate(900,
                                  type = 'count', imp_name='travel_time_seconds',
                                  name = 'etc')