def main():
#print('LOG: Main program to run tests')
parser = argparse.ArgumentParser(description='Remove the final column')
parser.add_argument('file_path_in',
type=str,
help='full path to input file')
parser.add_argument('file_path_out',
type=str,
help='full path to output file')
parser.add_argument('columns',
nargs='+',
type=int,
help='the columns to remove')
args = parser.parse_args()
columns = args.columns
columns = sorted(columns, reverse=True)
print('deleting these columns in this order')
print(columns)
data = FileManager.get_csv_file_data_numpy(args.file_path_in, ',')
for column in columns:
data = np.delete(data, column, axis=1)
data_as_numbers = data.astype(np.float)
np.savetxt(args.file_path_out, data_as_numbers, delimiter=',')
'''
def main():
#Move class column to final col
parser = argparse.ArgumentParser(description='Normalize the data')
parser.add_argument('file_path_in',
type=str,
help='full path to input file')
parser.add_argument('file_path_out',
type=str,
help='full path to output file')
args = parser.parse_args()
#read in data, normalize, save to file
data = FileManager.get_csv_file_data_numpy(args.file_path_in)
data = data.astype(np.float)
min_max_scaler = preprocessing.MinMaxScaler()
normalized_data = min_max_scaler.fit_transform(data)
print(normalized_data)
np.savetxt(args.file_path_out, normalized_data, delimiter=',')
def main():
#Move class column to final col
parser = argparse.ArgumentParser(
description='Move the given column to be the last column')
parser.add_argument('file_path_in',
type=str,
help='full path to input file')
parser.add_argument('column', type=int, help='the column to remove')
parser.add_argument('file_path_out',
type=str,
help='full path to output file')
args = parser.parse_args()
column = args.column
data = FileManager.get_csv_file_data_numpy(args.file_path_in, ',')
data = data.astype(np.float)
data_as_np = DataManipulator.move_np_column_to_end(data, column)
np.savetxt(args.file_path_out, data_as_np, delimiter=',')
'''