Import datasets

train_df = pd.read_csv('PM_test.txt', sep=" ", header=None)
train_df.drop(train_df.columns[[26, 27]], axis=1, inplace=True)
train_df.columns = ['id', 'cycle', 'setting1', 'setting2', 'setting3', 's1', 's2', 's3',
                     's4', 's5', 's6', 's7', 's8', 's9', 's10', 's11', 's12', 's13', 's14',
                     's15', 's16', 's17', 's18', 's19', 's20', 's21']

train_df = train_df.sort_values(['id','cycle'])

# read test data - It is the aircraft engine operating data without failure events recorded.
test_df = pd.read_csv('PM_test.txt', sep=" ", header=None)
test_df.drop(test_df.columns[[26, 27]], axis=1, inplace=True)
test_df.columns = ['id', 'cycle', 'setting1', 'setting2', 'setting3', 's1', 's2', 's3',
                     's4', 's5', 's6', 's7', 's8', 's9', 's10', 's11', 's12', 's13', 's14',
                     's15', 's16', 's17', 's18', 's19', 's20', 's21']

# read ground truth data - It contains the information of true remaining cycles for each engine in the testing data.
truth_df = pd.read_csv('PM_truth.txt', sep=" ", header=None)
truth_df.drop(truth_df.columns[[1]], axis=1, inplace=True)