def delayplotter(aircrafttype, ATA, begin,end,interval): # interval in months
k = core.unpickle("./Data.txt")
k = core.getbyType(k,aircrafttype) #getting the data ready
k = core.sortata(k, 2)
delay, date = core.getdelaylist([begin,end],interval,k)
newdate = []
newdelay = []
years = []
final = []
mini = []
maxi = []
for i in range(len(delay)):
for j in range(len(delay[i])):
for l in range(len(ATA)):
if delay[i][j][0] == ATA[l]:
newdate.append(date[i])
newdelay.append(delay[i][j])
for x in range(len(newdate)):
year = newdate[x]
year = year[-4:]
years.append(year)
average = round(float(newdelay[x][1])/float(newdelay[x][2]),2)
minimum = min(newdelay[x][5])
maximum = max(newdelay[x][5])
newdelay[x].append(average)
newdelay[x].append(minimum)
newdelay[x].append(maximum)
# print newdelay[x]
# now we create a list with [ata, total delay, delay freq., average delay, min delay, max delay]
del newdelay[x][3]
del newdelay[x][3]
del newdelay[x][3]
# print newdelay
for z in range(len(newdate)):
final.append(newdelay[z][3])
mini.append(newdelay[z][4])
maxi.append(newdelay[z][5])
# print final
final = np.array(final)
mini = np.array(mini)
maxi = np.array(maxi)
return years,final,mini,maxi
# -*- coding: utf-8 -*-
"""
Created on Thu May 24 09:48:10 2018
@author: Laurens
"""
import lib.core as core
k = core.unpickle("./Data.txt") #getting the data ready
k = core.sortata(k, 4)
delay, date = core.getdelaylist([1988, 2015], 36,
k) #getting the data ready till here
output = core.ThreeDgraph(delay, 3, 0)
for top in [3, 5, 10]:
for atalevel in range(2, 5):
for beginyear in [1988, 2011, 2014]:
for actype in range(1, 4):
for interval in [3, 6, 12, 36]:
newl = []
intl = []
if actype == 3 and beginyear < 1995:
beginyear = 1995
if (beginyear == 1988 or
(actype == 3 and beginyear == 1995)) and interval <= 6:
continue
a = core.getbyType(k, actype)
a = core.sortata(a, atalevel)
final, datelist = core.getfreqlist(
[beginyear, 2015], interval, a,
3) # looking for Ratio cancellations over frequency
for w in range(len(final)):
for l in range(10):
#print w, k
intl.append(final[w][l][0])
intl.append(l + 1)
intl.append(datelist[w])
newl.append(intl)
intl = []
filename = "CancRatioTop%d_ata%d_ac%d_%d-2015_interv%d" % (
top, atalevel, actype, beginyear, interval)
"""
Created on Mon Apr 23 14:17:44 2018
@author: Laurens
"""
#Tijd tot failure
#Verwachte delay
#Kans cancellation als het faalt
#per aircraft values
import matplotlib.pyplot as plt
import lib.core as core
interval = 36
k = core.unpickle("./Data.txt") #getting the data ready
k = core.sortata(k, 3)
final, date = core.getdelaylist([1988, 2015], interval, k)
final_delay = []
final_rel_year = []
final_rel_allyears = []
temp_rel = []
temp2_rel = []
final2_rel_allyears = []
#----------------------------------------------------------------------------------------actual program starts
for i in range(len(final)): #relation loop
for j in range(len(final[i])):
if final[i][j][2] != 0:
a = int(
round(float((float(interval) / 12) * 365 / final[i][j][2]),
0)) #amount of days average delay
"""
# plots the time history of a compontent on an
import lib.core as core
import matplotlib.pyplot as plt
import matplotlib as mpl
#from mpl_toolkits.mplot3d import Axes3D
import numpy as np
fig = plt.figure()
ax = fig.gca(projection='3d')
mpl.rcParams['legend.fontsize'] = 10
k = core.unpickle("./Data.txt") #getting the data ready
k = core.sortata(k, 2)
delay, date = core.getdelaylist([1988, 2015], 36,
k) #getting the data ready till here
for i in range(len(delay)): #removing all the 0 delays.
delay[i] = [x for x in delay[i] if x[-1] != 0]
top_first_year = [27]
main = []
amounttopnumbers = 2
l = []
temp = []
#l =[[]]*amounttopnumbers
s = 0
i = 0
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 29 16:33:07 2018
@author: Misa
"""
import lib.core as core
import numpy as np
import lib.numericals as numericals
b = core.unpickle("./Data.txt")
h = core.getbyCancelled(b, 0)
k = core.sortata(h, 2)
flist = []
onlydata = []
c = 1
l = []
l.append(k[0][3])
#
#for i in range(1,len(k)):
##for i in range(1,20000):
# if k[i][5] == k[i-1][5]:
# l.append(k[i][3])
# if k[i][5] != k[i-1][5]:
# j = []
# j.append(k[i-1][5])
# j.append(l)
# Inputs
YR = 9 #Year range (steps)
start = 1988
end = 2015
digits = 2 #ATA digits
typ = 2 #Type
atain = [21,27,29,30,32,34,36,73]
#--------------------------------
# Filtering
b = core.unpickle("./Data.txt")
b = core.getbyType(b,typ)
b = core.getbyCancelled(b,0)
b = core.sortata(b,digits)
#--------------------------------
#Random variables
current = start
flist = []
intlist = []
inlist = []
atacount = []
#--------------------------------
#While loop loops trough year range and returns list with ATA,frequency,total delay
while current + YR <= end:
data = core.getbyDate(b,[current,current+YR])
