Created
August 21, 2016 21:42
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Data preparation of the Fligh fuel prediction challenge on Crowdanalytiz https://www.crowdanalytix.com/contests/predict-fuel-flow-rate-of-airplanes-during-different-phases-of-a-flight
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| #data preparation | |
| import pandas as pd | |
| import numpy as np | |
| from os import listdir | |
| from os.path import isfile, join | |
| #training file folder (All your csv data files) | |
| file_path = 'CAX_Train' | |
| PH_data_one = pd.DataFrame() | |
| files = [f for f in listdir(file_path) if isfile(join(file_path, f))] | |
| for idy, file_iter in enumerate(files): | |
| print "File no " + str(idy) + " of "+ str(len(files)) | |
| data = pd.read_csv('CAX_Train/'+ file_iter) | |
| PH_one = data['PH'] == 1 | |
| PH_data_one = PH_data_one.append(data[PH_one]) | |
| PH_data_one.to_pickle('PH_data_one.df') |
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