Truncate Field Names Exceeding 63 Characters

examples/shorten_excel_column.py

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+"""
+This script reads an Excel file and modifies the values in Column B
+by shortening dot-separated strings.
+
+Specifically:
+- For each string in Column B:
+    - If it contains one or more dots, only the last segment is retained.
+    - If there is no dot, the string is left unchanged.
+- The updated data is saved to a new Excel file called 'shortend_Team-Member-Registration-DET.xlsx'.
+
+Use Case:
+This is useful for simplifying verbose or hierarchical field names
+(e.g., 'form.section.group.field' → 'field') for better readability,
+especially when preparing data for database headers, analytics, or display.
+"""
+
+import pandas as pd
+
+# Load Excel file
+file_path = "Team-Member-Registration-DET.xlsx"  # Replace this with your actual file path
+df = pd.read_excel(file_path)
+
+# Function to shorten the string in Column B to the last segment after the dot
+def keep_last_segment(s):
+    if isinstance(s, str) and '.' in s:
+        return s.split('.')[-1]  # Keep only the last segment
+    return s  # Return as is if no dot or not a string
+
+# Apply the function to column B (2nd column, index 1)
+df.iloc[:, 1] = df.iloc[:, 1].apply(keep_last_segment)
+
+# Save to a new Excel file
+df.to_excel("shortend_Team-Member-Registration-DET.xlsx", index=False)