more finegrained grid in delay plots

This commit is contained in:
fordprefect
2020-03-30 12:55:46 +02:00
parent bf79f2f69f
commit 3f5fd93a75
2 changed files with 3 additions and 3 deletions

View File

@@ -28,7 +28,8 @@ def plot(data, countries):
# plot delay
pp.clf()
delay = {}
tcases = [50, 100, 500, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000] + list(np.arange(10000, np.max(data["United States"][3]), 2500))
tcases = [50, 100, 500, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 80500,81000,81500,82000,83000,835000,84000,84500] + list(np.arange(10000, np.max(data["United States"][3]), 2500))
tcases.sort()
time_us = data["United States"][0]
try: