feat: clean imports and formatted code

Author: nmb735

src/phase_difference.py

@@ -12,21 +12,18 @@
 
 # =================================================================================================================================== #
 # --------------------------------------------------------- EXTERNAL IMPORTS -------------------------------------------------------- #
-import os                                        # Operating system interfaces for file and directory manipulation.                   #
-import re                                        # Regular expression operations for pattern matching in filenames.                   #
-import pandas as pd                              # Data manipulation and analysis.                                                    #
-import matplotlib.pyplot as plt                  # Data visualization.                                                                #
-import seaborn as sns                            # Statistical data visualization based on matplotlib.                                #
-from mpl_toolkits.mplot3d import Axes3D          # 3D plotting.                                                                       #
-import scipy.constants as sc                     # Physical and mathematical constants.                                               #
-import numpy as np                               # Mathematical functions.                                                            #
-import src.data_management as dm                 # Data management functions.                                                         #
-import datetime                                  # Date and time manipulation.                                                        #
-from scipy.stats import norm                     # Statistical functions for normal distribution fitting.                             #
-from scipy.optimize import curve_fit             # Curve fitting functions for Gaussian fitting.                                      #
-import datetime                                  # Date and time functions for timestamps.                                            #
-from numpy.polynomial.polynomial import polyfit  # Polynomial fitting for trend lines.                                                #
-from scipy import stats                          # Statistical functions for hypothesis testing and distribution fitting.             #
+import os                                         # Operating system interfaces for file and directory manipulation.                  #
+import re                                         # Regular expression operations for pattern matching in filenames.                  #
+import datetime                                   # Date and time manipulation.                                                       #
+import pandas              as pd                  # Data manipulation and analysis.                                                   #
+import matplotlib.pyplot   as plt                 # Data visualization.                                                               #
+import seaborn             as sns                 # Statistical data visualization based on matplotlib.                               #
+import numpy               as np                  # Mathematical functions.                                                           #
+import src.data_management as dm                  # Data management functions.                                                        #
+from scipy.stats                 import norm      # Statistical functions for normal distribution fitting.                            #
+from scipy.optimize              import curve_fit # Curve fitting functions for Gaussian fitting.                                     #
+from numpy.polynomial.polynomial import polyfit   # Polynomial fitting for trend lines.                                               #
+from scipy                       import stats     # Statistical functions for hypothesis testing and distribution fitting.            #
 # =================================================================================================================================== #