plot_laps.py

#!/usr/bin/env python
#LICENSE 
# Copyright (c) 2014, Chris Takahashi
# All rights reserved.
#Redistribution and use in source and binary forms, with or without modification, are permitted.
#
#THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

from __future__ import print_function

from pylab import *
import json

#the file name for the CSV
data_file = "Thunder Hill 4.18.14 - Friday 7 hour - laptimes.csv"
#the car numbers
cars = [4,201] #3rd 4th
#cars = [4,128]  #3rd 5th
#cars = [4,20]  #3rd 6th
#cars = [4,117]  #3rd 2nd
colors = ['g.','r.']

f = open(data_file,'r');
Header = True
laps = {}
for line in f:
  #skip header line
  if Header:
    Header = False
    continue
  #read car number
  if line[0] != '"':
    try:
      car_no = int(line.split(' - ')[0].strip("EC"))
    except ValueError:  #"pace" or something else stupid
      car_no = -1
    laps[car_no] = {"rt":[],"t":[],"lapnumber":[]}
  else:
    if car_no == -1:
      continue
    ldat = json.loads('['+line+']')
    t = [float(x) for x in ldat[0].split(":")]
    racetime = (t[0]*60*60+t[1]*60+t[2] - 10*60*60)/60/60 #in hrs
    laps[car_no]["rt"].append(racetime)
    
    t = [float(x) for x in ldat[3].split(":")]
    laptime = t[0]*60+t[1]
    laps[car_no]["t"].append(laptime)
    
    laps[car_no]["lapnumber"].append(int(ldat[1]))

for params in zip(cars,colors):
  plot(laps[params[0]]["rt"],laps[params[0]]["t"],params[1])


xlabel("Race time (hrs)")
ylabel("Lap time (seconds)")

x1,x2,y1,y2 = plt.axis()

#plt.axis((x1,x2,120,180))

figure()

for params in zip(cars,colors):
  plot(laps[params[0]]["rt"],laps[params[0]]["lapnumber"],params[1][0])

print("pit laps total:")
for c in cars:
  laptimes = array(laps[c]["t"])
  tot_pit = sum(laptimes[laptimes>400])
  print("car " + str(c) +": "+ str(tot_pit) )

print("lap stats")
hist_data = []
figure()
for c in cars:
  laptimes = array(laps[c]["t"])
  real_laps = laptimes[laptimes<160]
  real_laps = real_laps[real_laps>120]
  avg = sum(real_laps)/len(real_laps)
  pctile = percentile(real_laps, 25)
  print("car " + str(c) +": "+ "avg: " + str(avg)+" pctile:"+str(pctile) )
  hist_data.append(real_laps)
  
print("std: " + str(std(hist_data[0])) + ", " + str(std(hist_data[1])) )
  
subplot(2,1,1)
hist(hist_data[0],15,color=['g'],histtype='stepfilled')
plt.axis((135,160,0,30))
ylabel("frequency")
subplot(2,1,2)
hist(hist_data[1],15,color=['r'],histtype='stepfilled')
plt.axis((135,160,0,30))
xlabel("Lap time (sec)")
ylabel("frequency")
  


show()