show parameters of a point cloud in txt format

utils/cloud_txt_param.py

+import pandas as pd
+import argparse
+
+# Define the command-line arguments
+parser = argparse.ArgumentParser(description='Read a CSV file into a pandas DataFrame and find the max values.')
+parser.add_argument('file_path', help='The path to the CSV file')
+
+# Parse the command-line arguments
+args = parser.parse_args()
+
+# Read the CSV file into a pandas DataFrame
+df = pd.read_csv(args.file_path)
+
+# print the max value for each column
+print('Max value for each column:')
+print(df.max())
+
+# print the min value for each column
+print('Min value for each column:')
+print(df.min())
+
+# find the box dimensions only for x, y, and z
+print('Box dimensions:')
+print(df[['x', 'y', 'z']].max() - df[['x', 'y', 'z']].min())
+
+# compute a middle point for the box
+print('Middle point:')
+print(df[['x', 'y', 'z']].mean())
+
+# round the x, y, and z values to two decimal places and save the contents to a new CSV file
+df[['x', 'y', 'z']] = df[['x', 'y', 'z']].round(2)
+df.to_csv('rounded.csv', index=False)
+
+