In [1]:
import numpy as np
from datetime import datetime as dt
In [2]:
# 20150617
# PDDs
I11P_strtT = ['20150617-023432','20150617-024111','20150617-030027','20150617-033636','20150617-040845',
'20150617-042703','20150617-052802','20150617-055819','20150617-065112','20150617-071406']
I11P_strtDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I11P_strtT])
I11P_endT = ['20150617-024047','20150617-025353','20150617-031723','20150617-035507','20150617-041804',
'20150617-043642','20150617-053842','20150617-060406','20150617-065635','20150617-071936']
I11P_endDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I11P_endT])
# Spirals
I11S_strtT = ['20150617-035643','20150617-043910','20150617-050936','20150617-053913',
'20150617-060406','20150617-063308','20150617-065635']
I11S_strtDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I11S_strtT])
I11S_endT = ['20150617-040837','20150617-045908','20150617-052617','20150617-055720',
'20150617-062145','20150617-064930','20150617-071135']
I11S_endDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I11S_endT])
I11_out = {'I11P_strtDT': I11P_strtDT, 'I11P_endDT': I11P_endDT,
'I11S_strtDT': I11S_strtDT, 'I11S_endDT': I11S_endDT}
np.save('/Users/danstechman/GoogleDrive/School/Research/PECAN/Radar/code/samuraiAnalysis/pecan_PDD-Sprl_times/20150617_pddSprl_times.npy',I11_out)
In [2]:
# 20150620
# PDDs
U4P_strtT = ['20150620-041149','20150620-044515','20150620-051401','20150620-053809',
'20150620-062147','20150620-064713','20150620-070900','20150620-072818']
U4P_strtDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in U4P_strtT])
U4P_endT = ['20150620-044322','20150620-045515','20150620-052135','20150620-054718',
'20150620-063756','20150620-070829','20150620-072614','20150620-074613']
U4P_endDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in U4P_endT])
# Spirals
U4S_strtT = ['20150620-045557','20150620-050350','20150620-052124','20150620-054725',
'20150620-060437','20150620-063810','20150620-074547']
U4S_strtDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in U4S_strtT])
U4S_endT = ['20150620-050349','20150620-051303','20150620-053707','20150620-060346',
'20150620-062248','20150620-064731','20150620-075822']
U4S_endDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in U4S_endT])
U4_out = {'U4P_strtDT': U4P_strtDT, 'U4P_endDT': U4P_endDT,
'U4S_strtDT': U4S_strtDT, 'U4S_endDT': U4S_endDT}
np.save('/Users/danstechman/GoogleDrive/School/Research/PECAN/Radar/code/samuraiAnalysis/pecan_PDD-Sprl_times/20150620_pddSprl_times.npy',U4_out)
In [3]:
# 20150701
# PDDs
I17P_strtT = ['20150701-045021','20150701-055407','20150701-062038','20150701-063615','20150701-070030',
'20150701-071139','20150701-071958','20150701-073958','20150701-080224','20150701-082238',
'20150701-083648']
I17P_strtDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I17P_strtT])
I17P_endT = ['20150701-053357','20150701-060501','20150701-063459','20150701-065912','20150701-071019',
'20150701-071838','20150701-073839','20150701-080111','20150701-082052','20150701-083618',
'20150701-085200']
I17P_endDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I17P_endT])
# Spirals
I17S_strtT = ['20150701-060442']
I17S_strtDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I17S_strtT])
I17S_endT = ['20150701-062038']
I17S_endDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I17S_endT])
I17_out = {'I17P_strtDT': I17P_strtDT, 'I17P_endDT': I17P_endDT,
'I17S_strtDT': I17S_strtDT, 'I17S_endDT': I17S_endDT}
np.save('/Users/danstechman/GoogleDrive/School/Research/PECAN/Radar/code/samuraiAnalysis/pecan_PDD-Sprl_times/20150701_pddSprl_times.npy',I17_out)
In [4]:
# 20150702
# PDDs
U8AP_strtT = ['20150702-025003','20150702-033607','20150702-040452','20150702-043500','20150702-050257',
'20150702-054253','20150702-062100']
U8AP_strtDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in U8AP_strtT])
U8AP_endT = ['20150702-031534','20150702-034215','20150702-041550','20150702-044212','20150702-054137',
'20150702-061943','20150702-065937']
U8AP_endDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in U8AP_endT])
# Spirals
U8AS_strtT = ['20150702-034216','20150702-041550','20150702-044132']
U8AS_strtDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in U8AS_strtT])
U8AS_endT = ['20150702-040231','20150702-043501','20150702-050316']
U8AS_endDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in U8AS_endT])
U8A_out = {'U8AP_strtDT': U8AP_strtDT, 'U8AP_endDT': U8AP_endDT,
'U8AS_strtDT': U8AS_strtDT, 'U8AS_endDT': U8AS_endDT}
np.save('/Users/danstechman/GoogleDrive/School/Research/PECAN/Radar/code/samuraiAnalysis/pecan_PDD-Sprl_times/20150702_pddSprl_times.npy',U8A_out)
In [17]:
# 20150706
# PDDs
I20P_strtT = ['20150706-015628','20150706-025109','20150706-031216','20150706-034610',
'20150706-040115','20150706-041740','20150706-045600','20150706-051818',
'20150706-061517','20150706-070004']
I20P_strtDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I20P_strtT])
I20P_endT = ['20150706-021900','20150706-031035','20150706-032103','20150706-035612',
'20150706-041620','20150706-042340','20150706-051457','20150706-054001',
'20150706-062230','20150706-073103']
I20P_endDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I20P_endT])
# Spirals
I20S_strtT = ['20150706-031947','20150706-033053','20150706-042344','20150706-044005',
'20150706-054019','20150706-055624','20150706-062230','20150706-063759']
I20S_strtDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I20S_strtT])
I20S_endT = ['20150706-033052','20150706-034534','20150706-044004','20150706-045335',
'20150706-055549','20150706-061313','20150706-063758','20150706-065435']
I20S_endDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I20S_endT])
I20_out = {'I20P_strtDT': I20P_strtDT, 'I20P_endDT': I20P_endDT,
'I20S_strtDT': I20S_strtDT, 'I20S_endDT': I20S_endDT}
np.save('/Users/danstechman/GoogleDrive/School/Research/PECAN/Radar/code/samuraiAnalysis/pecan_PDD-Sprl_times/20150706_pddSprl_times.npy',I20_out)
In [5]:
# 20150709
# PDDs
I21P_strtT = ['20150709-013935','20150709-020045','20150709-022033','20150709-025324','20150709-032157',
'20150709-043231','20150709-050516','20150709-051135','20150709-054454','20150709-061411',
'20150709-064122']
I21P_strtDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I21P_strtT])
I21P_endT = ['20150709-015921','20150709-021850','20150709-022727','20150709-025736','20150709-033200',
'20150709-043642','20150709-050934','20150709-051436','20150709-054805','20150709-061837',
'20150709-065212']
I21P_endDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I21P_endT])
# Spirals
I21S_strtT = ['20150709-022737','20150709-023944','20150709-025723','20150709-030931','20150709-033249',
'20150709-034745','20150709-040157','20150709-041619','20150709-043625','20150709-045122',
'20150709-051725','20150709-053240','20150709-054811','20150709-060354','20150709-061849',
'20150709-063226']
I21S_strtDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I21S_strtT])
I21S_endT = ['20150709-023942','20150709-025337','20150709-030929','20150709-032240','20150709-034532',
'20150709-040156','20150709-041617','20150709-042910','20150709-045121','20150709-050346',
'20150709-053239','20150709-054447','20150709-060353','20150709-061243','20150709-063224',
'20150709-064114']
I21S_endDT = np.asarray([dt.strptime(fDate,'%Y%m%d-%H%M%S') for fDate in I21S_endT])
I21_out = {'I21P_strtDT': I21P_strtDT, 'I21P_endDT': I21P_endDT,
'I21S_strtDT': I21S_strtDT, 'I21S_endDT': I21S_endDT}
np.save('/Users/danstechman/GoogleDrive/School/Research/PECAN/Radar/code/samuraiAnalysis/pecan_PDD-Sprl_times/20150709_pddSprl_times.npy',I21_out)