--- a/trafficintelligence/moving.py	Fri Oct 06 17:02:32 2023 -0400
+++ b/trafficintelligence/moving.py	Mon Feb 05 14:14:14 2024 -0500
@@ -4,9 +4,8 @@
 import copy
 from math import sqrt, atan2, cos, sin
 
-from numpy import median, mean, array, arange, zeros, ones, hypot, NaN, std, floor, ceil, float32, argwhere, minimum,  issubdtype, integer as npinteger
+from numpy import median, mean, array, arange, zeros, ones, hypot, NaN, std, floor, ceil, float32, argwhere, minimum,  issubdtype, integer as npinteger, percentile
 from matplotlib.pyplot import plot, text, arrow
-from scipy.stats import scoreatpercentile
 from scipy.spatial.distance import cdist
 from scipy.signal import savgol_filter
 
@@ -1850,7 +1849,7 @@
     def speedDiagnostics(self, framerate = 1., display = False, nInstantsIgnoredAtEnds=0):
         speeds = framerate*self.getSpeeds(nInstantsIgnoredAtEnds)
         coef = utils.linearRegression(list(range(len(speeds))), speeds)
-        print('min/5th perc speed: {} / {}\nspeed diff: {}\nspeed stdev: {}\nregression: {}'.format(min(speeds), scoreatpercentile(speeds, 5), speeds[-2]-speeds[1], std(speeds), coef[0]))
+        print('min/5th perc speed: {} / {}\nspeed diff: {}\nspeed stdev: {}\nregression: {}'.format(min(speeds), percentile(speeds, 5), speeds[-2]-speeds[1], std(speeds), coef[0]))
         if display:
             from matplotlib.pyplot import figure, axis
             figure(1)