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How to use is_delayed method in localstack
Best Python code snippet using localstack_python
fields_modules.py
Source:fields_modules.py 
1import numpy as np2import pandas as pd3import time 4def fields_generator(employment_type,has_credit):5 try:6 #print 'begin: ',time.strftime("%H:%M:%S")7 fields = ["employment_type","need","sub_need","income","phone","has_credit"]8 #Basic data9 if has_credit != 1:10 fields.extend(["credit_debt","when_you_got_credit","credit_type","cancelled_credit","is_delayed","delayed_payment","product_entity","credit_limit"])11 #Extra data12 if employment_type == 1:13 fields.extend(["age","university"])14 elif employment_type == 2:15 fields.extend(["age","university","employment_time"])16 elif employment_type in [6,8]:17 fields.extend(["employment_time"])18 #elif employment_type == 5:19 #fields.extend()20 #elif employment_type == 7:21 #fields.extend()22 except Exception,e:23 print "error in collector: ",str(e)24 fields = []25 finally:26 #print 'end: ',time.strftime("%H:%M:%S")27 return fields28"""29 Parameters30"""31#mandatory fields32employment_type_options = [1,2,5,6,7,8]33has_credit_options = [1,2,3]34#need_subneed_options = {"2":[2],"8":[22,24],"4":[33,34],"7":[21,25,26],"1":[27,28,29],"3":[30,31,32]}35phone_options = ['5522208235']36#optional fields37age_pars = [18,25,6]38employment_time_options = [1,3,5,6,8,10,12]39#only if has_credit!=1:40credit_debt_ratio_pars = [0.2,1.0,0.2]41credit_exp_options = [2, 6, 12, 15]42credit_type_options = [1, 2, 3, 4]43is_delayed_options = [1, 2, 3]44delayed_payment_options = [1, 2, 3]45product_entity_options = [10,4,19,3,27,11,24,6,16,9,23,20,26,18,30,8,7,25,2,15,13,17,12,31,22,14,21,5]46credit_limit_pars = [0,15000,1500]47#only if has_credit==348cancelled_credit_options = [1, 2]49#university_options =50#arrays51age_array = np.arange(age_pars[0],age_pars[1],age_pars[2])52credit_type_options = [1, 2, 3, 4]53#product_entity_options = [10,4,19,3,27,11,24,6,16,9,23,20,26,18,30,8,7,25,2,15,13,17,12,31,22,14,21,5]54product_entity_options = [10,8]55credit_exp_options = [2, 6, 12, 15]56credit_debt_ratio_pars = [0.2,1.0,0.2]57credit_debt_ratio_array = np.arange(credit_debt_ratio_pars[0],credit_debt_ratio_pars[1],credit_debt_ratio_pars[2])58credit_limit_pars = [0,10000,3000]59credit_limit_array = np.arange(credit_limit_pars[0],credit_limit_pars[1],credit_limit_pars[2])60def save_matrix(employment_type,has_credit,need_subneed_options):61 print "start:",time.strftime("%H:%M:%S"),"employment_type:",employment_type,"has_credit: ",has_credit62 63 #arrays64 income_pars = [3500,12000,2500]65 phone_options = ['5522208235']66 age_pars = [18,25,6]67 employment_time_options = [1,6,12]68 #only if has_credit!=1:69 credit_debt_ratio_pars = [0.2,0.8,0.2]70 credit_exp_options = [6,12, 15]71 credit_type_options = [1, 2, 3, 4]72 is_delayed_options = [1, 2, 3]73 delayed_payment_options = [1, 2, 3]74 #only if has_credit==375 cancelled_credit_options = [1, 2]76 #university_options =77 income_array = np.arange(income_pars[0],income_pars[1],income_pars[2])78 #income_array = [4000,7000,7500,10000,15000,25000,40000,50000]79 #income_array = [2000.0,3000.0,4000.0,5000.0,7000.0,10000.0]80 81 age_array = np.arange(age_pars[0],age_pars[1],age_pars[2])82 print "age_array:",age_array83 #product_entity_options = [10,4,19,3,27,11,24,6,16,9,23,20,26,18,30,8,7,25,2,15,13,17,12,31,22,14,21,5]84 product_entity_options = [10,8]85 credit_debt_ratio_array = np.arange(credit_debt_ratio_pars[0],credit_debt_ratio_pars[1],credit_debt_ratio_pars[2])86 #credit_limit_pars = [0,10000,3000]87 #credit_limit_array = np.arange(credit_limit_pars[0],credit_limit_pars[1],credit_limit_pars[2])88 credit_limit_array = [7000,7500,10000,15000]89 if has_credit == 2:90 l = []91 for income in income_array:92 n = 093 print "income:",income, n94 #time.sleep(5)95 for phone in phone_options:96 if employment_type in [2,6,8]:97 for employment_time in employment_time_options:98 for credit_type in credit_type_options:99 if credit_type == 1:100 for entity in product_entity_options:101 for credit_exp in credit_exp_options:102 for credit_limit in credit_limit_array:103 for credit_debt_ratio in credit_debt_ratio_array:104 for is_delayed in is_delayed_options:105 if is_delayed in [1,3]:106 if employment_type == 2:107 for age in age_array:108 n = n+1109 #print "n",n110 l.append({'income':income,'phone':phone,'age':age,111 'employment_type':employment_type,'employment_time':employment_time,112 'has_credit':has_credit,'credit_type':credit_type,113 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,114 'when_you_got_credit':credit_exp,115 'credit_limit':credit_limit,116 'is_delayed':is_delayed,'delayed_payment':0})117 else:118 l.append({'income':income,'phone':phone,119 'employment_type':employment_type,'employment_time':employment_time,120 'has_credit':has_credit,'credit_type':credit_type,121 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,122 'when_you_got_credit':credit_exp,123 'credit_limit':credit_limit,124 'is_delayed':is_delayed,'delayed_payment':0})125 else:126 if employment_type == 2:127 for age in age_array:128 n = n+1129 #print "n",n130 l.append({'income':income,'phone':phone,'age':age,131 'employment_type':employment_type,'employment_time':employment_time,132 'has_credit':has_credit,'credit_type':credit_type,133 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,134 'when_you_got_credit':credit_exp,135 'credit_limit':credit_limit,136 'is_delayed':is_delayed,'delayed_payment':1})137 l.append({'income':income,'phone':phone,'age':age,138 'employment_type':employment_type,'employment_time':employment_time,139 'has_credit':has_credit,'credit_type':credit_type,140 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,141 'when_you_got_credit':credit_exp,142 'credit_limit':credit_limit,143 'is_delayed':is_delayed,'delayed_payment':2})144 l.append({'income':income,'phone':phone,'age':age,145 'employment_type':employment_type,'employment_time':employment_time,146 'has_credit':has_credit,'credit_type':credit_type,147 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,148 'when_you_got_credit':credit_exp,149 'credit_limit':credit_limit,150 'is_delayed':is_delayed,'delayed_payment':3})151 else:152 l.append({'income':income,'phone':phone,153 'employment_type':employment_type,'employment_time':employment_time,154 'has_credit':has_credit,'credit_type':credit_type,155 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,156 'when_you_got_credit':credit_exp,157 'credit_limit':credit_limit,158 'is_delayed':is_delayed,'delayed_payment':1})159 l.append({'income':income,'phone':phone,160 'employment_type':employment_type,'employment_time':employment_time,161 'has_credit':has_credit,'credit_type':credit_type,162 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,163 'when_you_got_credit':credit_exp,164 'credit_limit':credit_limit,165 'is_delayed':is_delayed,'delayed_payment':2})166 l.append({'income':income,'phone':phone,167 'employment_type':employment_type,'employment_time':employment_time,168 'has_credit':has_credit,'credit_type':credit_type,169 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,170 'when_you_got_credit':credit_exp,171 'credit_limit':credit_limit,172 'is_delayed':is_delayed,'delayed_payment':3})173 else:174 for credit_exp in credit_exp_options:175 for credit_debt_ratio in credit_debt_ratio_array:176 for is_delayed in is_delayed_options:177 if is_delayed in [1,3]:178 if employment_type == 2:179 for age in age_array:180 n = n+1181 #print "n",n182 l.append({'income':income,'phone':phone,'age':age,183 'employment_type':employment_type,'employment_time':employment_time,184 'has_credit':has_credit,'credit_type':credit_type,185 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,186 'when_you_got_credit':credit_exp,187 'is_delayed':is_delayed,'delayed_payment':0})188 else:189 l.append({'income':income,'phone':phone,190 'employment_type':employment_type,'employment_time':employment_time,191 'has_credit':has_credit,'credit_type':credit_type,192 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,193 'when_you_got_credit':credit_exp,194 'is_delayed':is_delayed,'delayed_payment':0})195 else:196 if employment_type == 2:197 for age in age_array:198 n = n+1199 #print "n",n200 l.append({'income':income,'phone':phone,'age':age,201 'employment_type':employment_type,'employment_time':employment_time,202 'has_credit':has_credit,'credit_type':credit_type,203 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,204 'when_you_got_credit':credit_exp,205 'is_delayed':is_delayed,'delayed_payment':1})206 l.append({'income':income,'phone':phone,'age':age,207 'employment_type':employment_type,'employment_time':employment_time,208 'has_credit':has_credit,'credit_type':credit_type,209 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,210 'when_you_got_credit':credit_exp,211 'is_delayed':is_delayed,'delayed_payment':2})212 l.append({'income':income,'phone':phone,'age':age,213 'employment_type':employment_type,'employment_time':employment_time,214 'has_credit':has_credit,'credit_type':credit_type,215 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,216 'when_you_got_credit':credit_exp,217 'is_delayed':is_delayed,'delayed_payment':3})218 else:219 l.append({'income':income,'phone':phone,220 'employment_type':employment_type,'employment_time':employment_time,221 'has_credit':has_credit,'credit_type':credit_type,222 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,223 'when_you_got_credit':credit_exp,224 'is_delayed':is_delayed,'delayed_payment':1})225 l.append({'income':income,'phone':phone,226 'employment_type':employment_type,'employment_time':employment_time,227 'has_credit':has_credit,'credit_type':credit_type,228 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,229 'when_you_got_credit':credit_exp,230 'is_delayed':is_delayed,'delayed_payment':2})231 l.append({'income':income,'phone':phone,232 'employment_type':employment_type,'employment_time':employment_time,233 'has_credit':has_credit,'credit_type':credit_type,234 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,235 'when_you_got_credit':credit_exp,236 'is_delayed':is_delayed,'delayed_payment':3})237 elif employment_type == 1:238 for age in age_array:239 for credit_type in credit_type_options:240 if credit_type == 1:241 for entity in product_entity_options:242 for credit_exp in credit_exp_options:243 for credit_limit in credit_limit_array:244 for credit_debt_ratio in credit_debt_ratio_array:245 for is_delayed in is_delayed_options:246 if is_delayed in [1,3]:247 l.append({'income':income,'phone':phone,'age':age,248 'employment_type':employment_type,249 'has_credit':has_credit,'credit_type':credit_type,250 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,251 'when_you_got_credit':credit_exp,252 'credit_limit':credit_limit,253 'is_delayed':is_delayed,'delayed_payment':0})254 else:255 l.append({'income':income,'phone':phone,'age':age,256 'employment_type':employment_type,257 'has_credit':has_credit,'credit_type':credit_type,258 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,259 'when_you_got_credit':credit_exp,260 'credit_limit':credit_limit,261 'is_delayed':is_delayed,'delayed_payment':1})262 l.append({'income':income,'phone':phone,'age':age,263 'employment_type':employment_type,264 'has_credit':has_credit,'credit_type':credit_type,265 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,266 'when_you_got_credit':credit_exp,267 'credit_limit':credit_limit,268 'is_delayed':is_delayed,'delayed_payment':2})269 l.append({'income':income,'phone':phone,'age':age,270 'employment_type':employment_type,271 'has_credit':has_credit,'credit_type':credit_type,272 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,273 'when_you_got_credit':credit_exp,274 'credit_limit':credit_limit,275 'is_delayed':is_delayed,'delayed_payment':3})276 else:277 for credit_exp in credit_exp_options:278 for credit_limit in credit_limit_array:279 for credit_debt_ratio in credit_debt_ratio_array:280 for is_delayed in is_delayed_options:281 if is_delayed in [1,3]:282 l.append({'income':income,'age':age,'phone':phone,283 'employment_type':employment_type,284 'has_credit':has_credit,'credit_type':credit_type,285 'product_entity':0,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,286 'when_you_got_credit':credit_exp,287 'credit_limit':credit_limit,288 'is_delayed':is_delayed,'delayed_payment':0})289 else:290 l.append({'income':income,'age':age,'phone':phone,291 'employment_type':employment_type,292 'has_credit':has_credit,'credit_type':credit_type,293 'product_entity':0,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,294 'when_you_got_credit':credit_exp,295 'credit_limit':credit_limit,296 'is_delayed':is_delayed,'delayed_payment':1})297 l.append({'income':income,'age':age,'phone':phone,298 'employment_type':employment_type,299 'has_credit':has_credit,'credit_type':credit_type,300 'product_entity':0,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,301 'when_you_got_credit':credit_exp,302 'credit_limit':credit_limit,303 'is_delayed':is_delayed,'delayed_payment':2})304 l.append({'income':income,'age':age,'phone':phone,305 'employment_type':employment_type,306 'has_credit':has_credit,'credit_type':credit_type,307 'product_entity':0,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,308 'when_you_got_credit':credit_exp,309 'credit_limit':credit_limit,310 'is_delayed':is_delayed,'delayed_payment':3})311 elif employment_type == 5:312 for credit_type in credit_type_options:313 if credit_type == 1:314 for entity in product_entity_options:315 for credit_exp in credit_exp_options:316 for credit_limit in credit_limit_array:317 for credit_debt_ratio in credit_debt_ratio_array:318 for is_delayed in is_delayed_options:319 if is_delayed in [1,3]:320 l.append({'income':income,'phone':phone,321 'employment_type':employment_type,322 'has_credit':has_credit,'credit_type':credit_type,323 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,324 'when_you_got_credit':credit_exp,325 'credit_limit':credit_limit,326 'is_delayed':is_delayed,'delayed_payment':0})327 else:328 l.append({'income':income,'phone':phone,329 'employment_type':employment_type,330 'has_credit':has_credit,'credit_type':credit_type,331 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,332 'when_you_got_credit':credit_exp,333 'credit_limit':credit_limit,334 'is_delayed':is_delayed,'delayed_payment':1})335 l.append({'income':income,'phone':phone,336 'employment_type':employment_type,337 'has_credit':has_credit,'credit_type':credit_type,338 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,339 'when_you_got_credit':credit_exp,340 'credit_limit':credit_limit,341 'is_delayed':is_delayed,'delayed_payment':2})342 l.append({'income':income,'phone':phone,343 'employment_type':employment_type,344 'has_credit':has_credit,'credit_type':credit_type,345 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,346 'when_you_got_credit':credit_exp,347 'credit_limit':credit_limit,348 'is_delayed':is_delayed,'delayed_payment':3})349 else:350 for credit_exp in credit_exp_options:351 for credit_limit in credit_limit_array:352 for credit_debt_ratio in credit_debt_ratio_array:353 for is_delayed in is_delayed_options:354 if is_delayed in [1,3]:355 l.append({'income':income,'phone':phone,356 'employment_type':employment_type,'employment_time':0,357 'has_credit':has_credit,'credit_type':credit_type,358 'product_entity':0,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,359 'when_you_got_credit':credit_exp,360 'credit_limit':credit_limit,361 'is_delayed':is_delayed,'delayed_payment':0})362 else:363 l.append({'income':income,'phone':phone,364 'employment_type':employment_type,'employment_time':0,365 'has_credit':has_credit,'credit_type':credit_type,366 'product_entity':0,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,367 'when_you_got_credit':credit_exp,368 'credit_limit':credit_limit,369 'is_delayed':is_delayed,'delayed_payment':1})370 l.append({'income':income,'phone':phone,371 'employment_type':employment_type,'employment_time':0,372 'has_credit':has_credit,'credit_type':credit_type,373 'product_entity':0,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,374 'when_you_got_credit':credit_exp,375 'credit_limit':credit_limit,376 'is_delayed':is_delayed,'delayed_payment':2})377 l.append({'income':income,'phone':phone,378 'employment_type':employment_type,'employment_time':0,379 'has_credit':has_credit,'credit_type':credit_type,380 'product_entity':0,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,381 'when_you_got_credit':credit_exp,382 'credit_limit':credit_limit,383 'is_delayed':is_delayed,'delayed_payment':3})384 for need in need_subneed_options.keys():385 for subneed in need_subneed_options[need]:386 data = pd.DataFrame(l)387 data['need'] = need388 data['sub_need'] = subneed389 data['Expected_result'] = np.nan390 data['Expected_list'] = np.nan391 semipath = str(need)+'/'+str(subneed)+'/'+str(has_credit)+'/matrix'392 #import code; code.interact(local=locals())393 if employment_type == 1:394 data.to_csv('TEST_MATRIX/students/'+semipath+'.csv')395 elif employment_type == 2:396 data.to_csv('TEST_MATRIX/students_work/'+semipath+'.csv')397 elif employment_type == 5:398 data.to_csv('TEST_MATRIX/housewifes/'+semipath+'.csv')399 elif employment_type == 6:400 data.to_csv('TEST_MATRIX/employees/'+semipath+'.csv')401 elif employment_type == 7:402 data.to_csv('TEST_MATRIX/no_employees/'+semipath+'.csv')403 elif employment_type == 8:404 data.to_csv('TEST_MATRIX/freelancers/'+semipath+'.csv')405 else:406 print "unknown employment_type: ", employment_type407 elif has_credit == 3:408 l = []409 for income in income_array:410 for phone in phone_options:411 if employment_type in [2,6,8]:412 for employment_time in employment_time_options:413 for credit_type in credit_type_options:414 if credit_type == 1:415 for entity in product_entity_options:416 for credit_exp in credit_exp_options:417 for credit_limit in credit_limit_array:418 for credit_debt_ratio in credit_debt_ratio_array:419 for cancelled_credit in cancelled_credit_options:420 for is_delayed in is_delayed_options:421 if is_delayed in [1,3]:422 if employment_type == 2:423 for age in age_array:424 l.append({'income':income,'phone':phone,'age':age,425 'employment_type':employment_type,'employment_time':employment_time,426 'has_credit':has_credit,'credit_type':credit_type,427 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,428 'when_you_got_credit':credit_exp,429 'credit_limit':credit_limit,'cancelled_credit':cancelled_credit,430 'is_delayed':is_delayed,'delayed_payment':0})431 else:432 l.append({'income':income,'phone':phone,433 'employment_type':employment_type,'employment_time':employment_time,434 'has_credit':has_credit,'credit_type':credit_type,435 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,436 'when_you_got_credit':credit_exp,437 'credit_limit':credit_limit,'cancelled_credit':cancelled_credit,438 'is_delayed':is_delayed,'delayed_payment':0})439 else:440 if employment_type == 2:441 for age in age_array:442 l.append({'income':income,'phone':phone,'age':age,443 'employment_type':employment_type,'employment_time':employment_time,444 'has_credit':has_credit,'credit_type':credit_type,445 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,446 'when_you_got_credit':credit_exp,'cancelled_credit':cancelled_credit,447 'credit_limit':credit_limit,448 'is_delayed':is_delayed,'delayed_payment':1})449 l.append({'income':income,'phone':phone,'age':age,450 'employment_type':employment_type,'employment_time':employment_time,451 'has_credit':has_credit,'credit_type':credit_type,452 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,453 'when_you_got_credit':credit_exp,'cancelled_credit':cancelled_credit,454 'credit_limit':credit_limit,455 'is_delayed':is_delayed,'delayed_payment':2})456 l.append({'income':income,'phone':phone,'age':age,457 'employment_type':employment_type,'employment_time':employment_time,458 'has_credit':has_credit,'credit_type':credit_type,459 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,460 'when_you_got_credit':credit_exp,461 'credit_limit':credit_limit,'cancelled_credit':cancelled_credit,462 'is_delayed':is_delayed,'delayed_payment':3})463 else:464 l.append({'income':income,'phone':phone,465 'employment_type':employment_type,'employment_time':employment_time,466 'has_credit':has_credit,'credit_type':credit_type,467 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,468 'when_you_got_credit':credit_exp,'cancelled_credit':cancelled_credit,469 'credit_limit':credit_limit,470 'is_delayed':is_delayed,'delayed_payment':1})471 l.append({'income':income,'phone':phone,472 'employment_type':employment_type,'employment_time':employment_time,473 'has_credit':has_credit,'credit_type':credit_type,474 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,475 'when_you_got_credit':credit_exp,'cancelled_credit':cancelled_credit,476 'credit_limit':credit_limit,477 'is_delayed':is_delayed,'delayed_payment':2})478 l.append({'income':income,'phone':phone,479 'employment_type':employment_type,'employment_time':employment_time,480 'has_credit':has_credit,'credit_type':credit_type,481 'product_entity':entity,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,482 'when_you_got_credit':credit_exp,483 'credit_limit':credit_limit,'cancelled_credit':cancelled_credit,484 'is_delayed':is_delayed,'delayed_payment':3})485 else:486 for credit_exp in credit_exp_options:487 for credit_debt_ratio in credit_debt_ratio_array:488 for cancelled_credit in cancelled_credit_options:489 for is_delayed in is_delayed_options:490 if is_delayed in [1,3]:491 if employment_type == 2:492 for age in age_array:493 l.append({'income':income,'phone':phone,'age':age,494 'employment_type':employment_type,'employment_time':employment_time,495 'has_credit':has_credit,'credit_type':credit_type,496 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,497 'when_you_got_credit':credit_exp,'cancelled_credit':cancelled_credit,498 'is_delayed':is_delayed,'delayed_payment':0})499 else:500 l.append({'income':income,'phone':phone,501 'employment_type':employment_type,'employment_time':employment_time,502 'has_credit':has_credit,'credit_type':credit_type,503 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,504 'when_you_got_credit':credit_exp,'cancelled_credit':cancelled_credit,505 'is_delayed':is_delayed,'delayed_payment':0})506 else:507 if employment_type == 2:508 for age in age_array:509 l.append({'income':income,'phone':phone,'age':age,510 'employment_type':employment_type,'employment_time':employment_time,511 'has_credit':has_credit,'credit_type':credit_type,512 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,513 'cancelled_credit':cancelled_credit,514 'when_you_got_credit':credit_exp,515 'is_delayed':is_delayed,'delayed_payment':1})516 l.append({'income':income,'phone':phone,'age':age,517 'employment_type':employment_type,'employment_time':employment_time,518 'has_credit':has_credit,'credit_type':credit_type,519 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,520 'cancelled_credit':cancelled_credit,521 'when_you_got_credit':credit_exp,522 'is_delayed':is_delayed,'delayed_payment':2})523 l.append({'income':income,'phone':phone,'age':age,524 'employment_type':employment_type,'employment_time':employment_time,525 'has_credit':has_credit,'credit_type':credit_type,526 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,527 'cancelled_credit':cancelled_credit,528 'when_you_got_credit':credit_exp,529 'is_delayed':is_delayed,'delayed_payment':3})530 else:531 l.append({'income':income,'phone':phone,532 'employment_type':employment_type,'employment_time':employment_time,533 'has_credit':has_credit,'credit_type':credit_type,534 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,535 'cancelled_credit':cancelled_credit,536 'when_you_got_credit':credit_exp,537 'is_delayed':is_delayed,'delayed_payment':1})538 l.append({'income':income,'phone':phone,539 'employment_type':employment_type,'employment_time':employment_time,540 'has_credit':has_credit,'credit_type':credit_type,541 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,542 'cancelled_credit':cancelled_credit,543 'when_you_got_credit':credit_exp,544 'is_delayed':is_delayed,'delayed_payment':2})545 l.append({'income':income,'phone':phone,546 'employment_type':employment_type,'employment_time':employment_time,547 'has_credit':has_credit,'credit_type':credit_type,548 'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,549 'cancelled_credit':cancelled_credit,550 'when_you_got_credit':credit_exp,551 'is_delayed':is_delayed,'delayed_payment':3})552 else:553 for age in age_array:554 for credit_type in credit_type_options:555 if credit_type == 1:556 for entity in product_entity_options:557 for credit_exp in credit_exp_options:558 for credit_limit in credit_limit_array:559 for credit_debt_ratio in credit_debt_ratio_array:560 for cancelled_credit in cancelled_credit_options:561 for is_delayed in is_delayed_options:562 if is_delayed in [1,3]:563 l.append({'income':income,'phone':phone,'age':age,564 'employment_type':employment_type,'employment_time':0,565 'has_credit':has_credit,'credit_type':credit_type,566 'product_entity':entity,'credit_debt':income*credit_debt_ratio,567 'credit_debt_ratio':credit_debt_ratio,568 'when_you_got_credit':credit_exp,569 'credit_limit':credit_limit,'cancelled_credit':cancelled_credit,570 'is_delayed':is_delayed,'delayed_payment':0})571 else:572 l.append({'income':income,'phone':phone,'age':age,573 'employment_type':employment_type,'employment_time':0,574 'has_credit':has_credit,'credit_type':credit_type,575 'product_entity':entity,'credit_debt':income*credit_debt_ratio,576 'credit_debt_ratio':credit_debt_ratio,577 'when_you_got_credit':credit_exp,578 'credit_limit':credit_limit,'cancelled_credit':cancelled_credit,579 'is_delayed':is_delayed,'delayed_payment':1})580 l.append({'income':income,'phone':phone,'age':age,581 'employment_type':employment_type,'employment_time':0,582 'has_credit':has_credit,'credit_type':credit_type,583 'product_entity':entity,'credit_debt':income*credit_debt_ratio,584 'credit_debt_ratio':credit_debt_ratio,585 'when_you_got_credit':credit_exp,586 'credit_limit':credit_limit,'cancelled_credit':cancelled_credit,587 'is_delayed':is_delayed,'delayed_payment':2})588 l.append({'income':income,'phone':phone,'age':age,589 'employment_type':employment_type,'employment_time':0,590 'has_credit':has_credit,'credit_type':credit_type,591 'product_entity':entity,'credit_debt':income*credit_debt_ratio,592 'credit_debt_ratio':credit_debt_ratio,593 'when_you_got_credit':credit_exp,594 'credit_limit':credit_limit,'cancelled_credit':cancelled_credit,595 'is_delayed':is_delayed,'delayed_payment':3})596 else:597 for credit_exp in credit_exp_options:598 for credit_limit in credit_limit_array:599 for credit_debt_ratio in credit_debt_ratio_array:600 for cancelled_credit in cancelled_credit_options:601 for is_delayed in is_delayed_options:602 if is_delayed in [1,3]:603 l.append({'income':income,'age':age,'phone':phone,604 'employment_type':employment_type,'employment_time':0,605 'has_credit':has_credit,'credit_type':credit_type,606 'product_entity':0,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,607 'when_you_got_credit':credit_exp,608 'credit_limit':credit_limit,'cancelled_credit':cancelled_credit,609 'is_delayed':is_delayed,'delayed_payment':0})610 else:611 l.append({'income':income,'age':age,'phone':phone,612 'employment_type':employment_type,'employment_time':0,613 'has_credit':has_credit,'credit_type':credit_type,614 'product_entity':0,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,615 'when_you_got_credit':credit_exp,616 'credit_limit':credit_limit,'cancelled_credit':cancelled_credit,617 'is_delayed':is_delayed,'delayed_payment':1})618 l.append({'income':income,'age':age,'phone':phone,619 'employment_type':employment_type,'employment_time':0,620 'has_credit':has_credit,'credit_type':credit_type,621 'product_entity':0,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,622 'when_you_got_credit':credit_exp,623 'credit_limit':credit_limit,'cancelled_credit':cancelled_credit,624 'is_delayed':is_delayed,'delayed_payment':2})625 l.append({'income':income,'age':age,'phone':phone,626 'employment_type':employment_type,'employment_time':0,627 'has_credit':has_credit,'credit_type':credit_type,628 'product_entity':0,'credit_debt':income*credit_debt_ratio,'credit_debt_ratio':credit_debt_ratio,629 'when_you_got_credit':credit_exp,630 'credit_limit':credit_limit,'cancelled_credit':cancelled_credit,631 'is_delayed':is_delayed,'delayed_payment':3})632 for need in need_subneed_options.keys():633 for subneed in need_subneed_options[need]:634 data = pd.DataFrame(l)635 data['need'] = need636 data['sub_need'] = subneed637 data['Expected_result'] = np.nan638 data['Expected_list'] = np.nan639 semipath = str(need)+'/'+str(subneed)+'/'+str(has_credit)+'/matrix'640 #import code; code.interact(local=locals())641 if employment_type == 1:642 data.to_csv('TEST_MATRIX/students/'+semipath+'.csv')643 #import code; code.interact(local=locals())644 elif employment_type == 2:645 data.to_csv('TEST_MATRIX/students_work/'+semipath+'.csv')646 elif employment_type == 5:647 data.to_csv('TEST_MATRIX/housewifes/'+semipath+'.csv')648 elif employment_type == 6:649 data.to_csv('TEST_MATRIX/employees/'+semipath+'.csv')650 elif employment_type == 7:651 data.to_csv('TEST_MATRIX/no_employees/'+semipath+'.csv')652 elif employment_type == 8:653 data.to_csv('TEST_MATRIX/freelancers/'+semipath+'.csv')654 else:655 print "unknown employment_type: ", employment_type656 elif has_credit==1:657 l = []658 for income in income_array:659 for phone in phone_options:660 if employment_type in [5,6,8]:661 for employment_time in employment_time_options:662 l.append({'income':income,663 'phone':phone,'employment_time':employment_time,664 'employment_type':employment_type,'has_credit':has_credit})665 else:666 for age in age_array:667 l.append({'income':income,'age':age,668 'phone':phone,'employment_type':employment_type,'employment_time':0,669 'has_credit':has_credit,})670 for need in need_subneed_options.keys():671 for subneed in need_subneed_options[need]:672 data = pd.DataFrame(l)673 data['need'] = need674 data['sub_need'] = subneed675 data['Expected_result'] = np.nan676 data['Expected_list'] = np.nan677 semipath = str(need)+'/'+str(subneed)+'/'+str(has_credit)+'/matrix'678 #import code; code.interact(local=locals())679 if employment_type == 1:680 data.to_csv('TEST_MATRIX/students/'+semipath+'.csv')681 elif employment_type == 2:682 data.to_csv('TEST_MATRIX/students_work/'+semipath+'.csv')683 elif employment_type == 5:684 data.to_csv('TEST_MATRIX/housewifes/'+semipath+'.csv')685 elif employment_type == 6:686 data.to_csv('TEST_MATRIX/employees/'+semipath+'.csv')687 elif employment_type == 7:688 data.to_csv('TEST_MATRIX/no_employees/'+semipath+'.csv')689 elif employment_type == 8:690 data.to_csv('TEST_MATRIX/freelancers/'+semipath+'.csv')691 else:692 print "unknown employment_type: ", employment_type...
low_stock.py
Source:low_stock.py
...148 :type: str149 """150 self._print_flag = print_flag151 @property152 def is_delayed(self):153 """Gets the is_delayed of this LowStock. # noqa: E501154 :return: The is_delayed of this LowStock. # noqa: E501155 :rtype: bool156 """157 return self._is_delayed158 @is_delayed.setter159 def is_delayed(self, is_delayed):160 """Sets the is_delayed of this LowStock.161 :param is_delayed: The is_delayed of this LowStock. # noqa: E501162 :type: bool163 """164 self._is_delayed = is_delayed165 @property166 def create_date(self):167 """Gets the create_date of this LowStock. # noqa: E501168 :return: The create_date of this LowStock. # noqa: E501169 :rtype: datetime170 """171 return self._create_date172 @create_date.setter173 def create_date(self, create_date):...
percentageofdelay.py
Source:percentageofdelay.py
1def percentageofdelay(src,dest):2 flightsinfo = pd.read_csv("drive/My Drive/flights.csv",nrows=200000)3 airport = pd.read_csv('drive/My Drive/airports.csv')4 airlines = pd.read_csv('drive/My Drive/airlines.csv')5 flights=flightsinfo6 Flights1 = flightsinfo7 Flights1=flightsinfo.drop(['YEAR','MONTH','DAY','DAY_OF_WEEK','TAIL_NUMBER','DEPARTURE_TIME','WHEELS_OFF','WHEELS_ON','SCHEDULED_ARRIVAL','ARRIVAL_TIME','CANCELLATION_REASON','AIR_SYSTEM_DELAY','SECURITY_DELAY','AIRLINE_DELAY','LATE_AIRCRAFT_DELAY','WEATHER_DELAY'], axis = 1)8 Flights1['Is_Delayed'] = np.where(Flights1['ARRIVAL_DELAY']<=0, 0,1)9 Flights1=Flights1.loc[(Flights1['ORIGIN_AIRPORT'] == src) & (Flights1['DESTINATION_AIRPORT'] == dest)]10 totalcount=Flights1['Is_Delayed'].count()11 delayedcount=Flights1.loc[(Flights1['Is_Delayed'] == 1)]['Is_Delayed'].count()12 nodelayedcount=Flights1.loc[(Flights1['Is_Delayed'] == 0)]['Is_Delayed'].count()13 axis = plt.subplots(figsize=(10,14))14 Name = ['Delayed','Not Delayed']15 values = [(delayedcount/totalcount)*100,(nodelayedcount/totalcount)*100]16 plt.pie(values,labels=Name,autopct='%5.0f%%')17 plt.show()18 plt.savefig('drive/My Drive/percentageofdelayimage.png')...
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