Add BankCleaner.py

BankCleaner.py

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+import tkinter as tk
+from tkinter import filedialog
+import pandas as pd
+
+# 1. Initialize Tkinter (GUI) and hide the root window
+root = tk.Tk()
+root.withdraw()
+
+# 2. Prompt user for the input Excel file
+input_file_path = filedialog.askopenfilename(
+    title="Select the Excel file",
+    filetypes=[("Excel files", "*.xlsx *.xls"), ("All files", "*.*")]
+)
+if not input_file_path:
+    print("No file selected. Exiting.")
+    exit()
+
+# 3. Read the Excel file as strings to preserve columns
+df = pd.read_excel(input_file_path, dtype=str)
+
+# 4. Keep only the columns you want
+columns_to_keep = ["text", "time", "url", "topReactionsCount", "viewsCount", "likes"]
+df = df[columns_to_keep]
+
+# 5. Convert the 'time' column to YYYY-MM-DD
+df["time"] = pd.to_datetime(df["time"]).dt.strftime("%Y-%m-%d")
+
+# 6. Remove empty lines (line breaks) in the 'text' column
+df["text"] = df["text"].replace(r"[\r\n]+", " ", regex=True)
+
+# 7. Remove "#" characters from the 'text' column
+df["text"] = df["text"].replace(r"#", "", regex=True)
+
+# 8. Prompt user for the output Excel file location
+output_file_path = filedialog.asksaveasfilename(
+    title="Save Cleaned Excel File",
+    defaultextension=".xlsx",
+    filetypes=[("Excel files", "*.xlsx"), ("All files", "*.*")]
+)
+if not output_file_path:
+    print("No output file specified. Exiting.")
+    exit()
+
+# 9. Write the cleaned data to a new Excel file
+df.to_excel(output_file_path, index=False)
+print(f"Cleaned Excel file saved to: {output_file_path}")