Only 1k rows/second query speed?

I'm running an InfluxDB instance to save financial tick data. Every row has 7 fields. I then query this data and aggregate it in Python. Those were my query times (number of rows on the left, query time in hours, minutes and seconds on the right):

9480222, 2:07:46

12839124, 3:06:02

17256737, 4:19:54

13716707, 3:28:37

12671435, 2:35:27

11112483, 2:15:53

17055181, 3:34:21

21232810, 6:29:42

16935780, 4:47:56

Those numbers seem a bit off. The average is around 60-70k rows per minute, 1k rows per second. Since this is my first experience with TS Databases and with Influx, would you consider this performance normal? I'm running InfluxDB 1.7.9, Influx Python client 5.2.3, Python 3.7, running from Pycharm, on a MacBook Pro with 16GB Ram.

Any tip is welcomed!

The report names InfluxDB 1.7.9, the Influx Python client 5.2.3, and Python 3.7, but no repository file, test, or entry point. Start by reproducing the reported query timings with the listed row counts and checking the relevant query behavior; done means determining whether the performance is expected and identifying a specific repository change if it is not.

Written by the indexing model from the issue text.