def main(args): print('starting pipeline...') data = mac.acquire(args.path) data = wra.wrangling(data) table_country = anl.percent_country(data, args.country) print(table_country) print('pipeline finished...')
def main(args): print('starting the analysis procedure...') all = acq.getall(args.path) moreall = wrang.wrangling(all) report = anal.grouptable(moreall, args.country) finish = rep.reporting(report, args.country) print(finish) print('pipeline finished')
def main(country): print('Starting pipeline...') # Acquisition m_acquisition.acquisition() # Wrangling df = m_wrangling.wrangling() # Analysis final_data = m_analysis.analyze(df, country) # Reporting m_reporting.reporting(final_data, country) print('pipeline finished...')
def main(args): print('Starting pipeline and retrieving information...') print('Getting information from database analysed...') df_m1 = mac.acquire(args.path) df_m2 = mwr.wrangling(df_m1) if args.country is None: print('retrieving information for all countries...') df_m3 = man.analysis(df_m2, 'all') else: df_m3 = man.analysis(df_m2, args.country) print( '********************* Pipeline is complete, you can find the results in the data results folder *********************' )
def main(args): print('starting pipeline...') print('Getting the data from database...') raw_data = mac.acquire(args.path) print('Data from database is there!...') print('Dealing with data...') data = mwr.wrangling(raw_data) print('Data dealt!') print('analysing the data...') molins = man.analysis(data, args.country) print(molins) print('Data analysed!...') # Data reporting print('Lets create the report...') mre.graph_reporting(molins) mre.pdf_reporting() mre.email_reporting(arguments.email) print('Report created!') print( '========================= Pipeline is complete. You may find the results in the folder ' './data/results =========================')
def main(arguments): print('Starting pipeline...', end='') time.sleep(1) print('....', end='') time.sleep(1) print('....') df_project = mac.acquire(arguments.path) data_merged = mwr.wrangling(df_project) data_merged.to_csv('./data/processed/data_merged_info.csv') data_project_analysed = man.analyce_data(data_merged, arguments.country) data_project_analysed.to_csv('./data/results/country_gender_analysed.csv') print(data_project_analysed) # Bonus 1: print('Getting Opinions...') data_opinions = man.judgement(df_project) data_opinions.to_csv('./data/results/Bonus1-Data_Opinions.csv') print(data_opinions) print( '========================= Pipeline is complete. You may find the results in the folder ' './data/results =========================')
def main(arguments): rural = mac.acquire() rural_processed = mwr.wrangling(rural) rural_analysed = man.analyze(rural_processed, arguments.country) return rural_analysed