Files
thesis/data/QUGS/convert.py
nuluh ea978de872 -
2024-09-03 11:43:46 +07:00

66 lines
2.7 KiB
Python

import pandas as pd
import os
import sys
from colorama import Fore, Style, init
def create_damage_files(base_path, output_base):
# Initialize colorama
init(autoreset=True)
# Generate column labels based on expected duplication in input files
columns = ['Real'] + [f'Real.{i}' for i in range(1, 30)] # Explicitly setting column names
sensor_end_map = {1: 'Real.25', 2: 'Real.26', 3: 'Real.27', 4: 'Real.28', 5: 'Real.29'}
# Define the damage scenarios and the corresponding original file indices
damage_scenarios = {
1: range(6, 11), # Damage 1 files from zzzAD6.csv to zzzAD10.csv
2: range(11, 16), # Damage 2 files from zzzAD11.csv to zzzAD15.csvs
3: range(16, 21), # Damage 3 files from zzzAD16.csv to zzzAD20.csv
4: range(21, 26) # Damage 4 files from zzzAD21.csv to zzzAD25.csv
}
damage_pad = len(str(len(damage_scenarios)))
test_pad = len(str(30))
for damage, files in damage_scenarios.items():
for i, file_index in enumerate(files, start=1):
# Load original data file
file_path = os.path.join(base_path, f'zzzAD{file_index}.TXT')
df = pd.read_csv(file_path, sep='\t', skiprows=10) # Read with explicit column names
top_sensor = columns[damage-1]
print(top_sensor, type(top_sensor))
output_file_1 = os.path.join(output_base, f'DAMAGE_{damage}', f'D{damage:0{damage_pad}}_TEST{i:0{test_pad}}_01.csv')
print(f"Creating {output_file_1} from taking zzzAD{file_index}.TXT")
print("Taking datetime column on index 0...")
print(f"Taking `{top_sensor}`...")
df[['Time', top_sensor]].to_csv(output_file_1, index=False)
print(Fore.GREEN + "Done")
bottom_sensor = sensor_end_map[damage]
output_file_2 = os.path.join(output_base, f'DAMAGE_{damage}', f'D{damage}_TEST{i}_02.csv')
print(f"Creating {output_file_2} from taking zzzAD{file_index}.TXT")
print("Taking datetime column on index 0...")
print(f"Taking `{bottom_sensor}`...")
df[['Time', bottom_sensor]].to_csv(output_file_2, index=False)
print(Fore.GREEN + "Done")
print("---")
def main():
if len(sys.argv) < 2:
print("Usage: python convert.py <path_to_csv_files>")
sys.exit(1)
base_path = sys.argv[1]
output_base = "output_data" # Define output directory
# Create output folders if they don't exist
for i in range(1, 5):
os.makedirs(os.path.join(output_base, f'DAMAGE_{i}'), exist_ok=True)
create_damage_files(base_path, output_base)
print(Fore.YELLOW + Style.BRIGHT + "All files have been created successfully.")
if __name__ == "__main__":
main()