Initial commit

compare_gst_excel.py

@@ -0,0 +1,64 @@
+# import pandas as pd
+
+# def normalize_row(row):
+#     return tuple(
+#         str(cell).strip().replace(".0", "") if isinstance(cell, float) and cell.is_integer() else str(cell).strip()
+#         for cell in row
+#     )
+
+# def find_unmatched_rows(sheet1_df, sheet2_df):
+#     # Ensure column names are clean
+#     sheet1_df.columns = sheet1_df.columns.str.strip()
+#     sheet2_df.columns = sheet2_df.columns.str.strip()
+
+#     # Normalize rows for comparison
+#     sheet1_normalized = sheet1_df.apply(normalize_row, axis=1)
+#     sheet2_normalized = sheet2_df.apply(normalize_row, axis=1)
+
+#     # Find unmatched rows
+#     unmatched_in_sheet1 = sheet1_df[~sheet1_normalized.isin(sheet2_normalized)]
+#     unmatched_in_sheet2 = sheet2_df[~sheet2_normalized.isin(sheet1_normalized)]
+
+#     # Mark source
+#     unmatched_in_sheet1["Source"] = "Sheet1"
+#     unmatched_in_sheet2["Source"] = "Sheet2"
+
+#     # Combine
+#     unmatched_combined = pd.concat([unmatched_in_sheet1, unmatched_in_sheet2], ignore_index=True)
+#     return unmatched_combined
+import pandas as pd
+
+def normalize_row(row):
+    return tuple(
+        str(cell).strip().replace(".0", "") if isinstance(cell, float) and cell.is_integer() else str(cell).strip()
+        for cell in row
+    )
+
+def find_unmatched_rows(sheet1_df, sheet2_df):
+    # Clean column names
+    sheet1_df.columns = sheet1_df.columns.str.strip()
+    sheet2_df.columns = sheet2_df.columns.str.strip()
+
+    # Choose the comparison columns
+    comparison_columns = ['Date', 'GSTIN/UIN']
+
+    # Ensure required columns exist
+    for col in comparison_columns:
+        if col not in sheet1_df.columns or col not in sheet2_df.columns:
+            raise ValueError(f"Missing column '{col}' in one of the sheets.")
+
+    # Create keys for comparison
+    sheet1_keys = sheet1_df[comparison_columns].apply(normalize_row, axis=1)
+    sheet2_keys = sheet2_df[comparison_columns].apply(normalize_row, axis=1)
+
+    # Find unmatched rows
+    unmatched_in_sheet1 = sheet1_df[~sheet1_keys.isin(sheet2_keys)].copy()
+    unmatched_in_sheet2 = sheet2_df[~sheet2_keys.isin(sheet1_keys)].copy()
+
+    # Mark source
+    unmatched_in_sheet1["Source"] = "Sheet1"
+    unmatched_in_sheet2["Source"] = "Sheet2"
+
+    # Combine
+    unmatched_combined = pd.concat([unmatched_in_sheet1, unmatched_in_sheet2], ignore_index=True)
+    return unmatched_combined