code cleaning

Author: AlexP11223

explore.py

@@ -6,7 +6,7 @@
 attributes = ['varianceWT', 'skewnessWT', 'curtosisWT', 'entropy']
 label = 'class'
 
-df = pd.DataFrame(pd.read_csv(file_path, sep=','))
+df = pd.read_csv(file_path, sep=',')
 
 print(df.describe())
 

norm.py

@@ -6,9 +6,9 @@
 base_file_name = 'data_banknote_authentication'
 label = 'class'
 
-train_data = pd.DataFrame(pd.read_csv(input_dir + 'train_' + base_file_name + '.csv', sep=','))
-validation_data = pd.DataFrame(pd.read_csv(input_dir + 'validation_' + base_file_name + '.csv', sep=','))
-test_data = pd.DataFrame(pd.read_csv(input_dir + 'test_' + base_file_name + '.csv', sep=','))
+train_data = pd.read_csv(input_dir + 'train_' + base_file_name + '.csv', sep=',')
+validation_data = pd.read_csv(input_dir + 'validation_' + base_file_name + '.csv', sep=',')
+test_data = pd.read_csv(input_dir + 'test_' + base_file_name + '.csv', sep=',')
 
 scaler = StandardScaler()
 scaler.fit(train_data.drop(label, 1))

testnorm.py

@@ -6,7 +6,7 @@
 file_path = 'data/train_data_banknote_authentication.csv'
 attributes = ['varianceWT', 'skewnessWT', 'curtosisWT', 'entropy']
 
-df = pd.DataFrame(pd.read_csv(file_path, sep=','))
+df = pd.read_csv(file_path, sep=',')
 
 for attr in attributes:
     print(attr)