Summary  
Modifying a two-dimensional data structure by inserting or deleting rows, columns, or individual cells, with options to shift surrounding elements and inherit or clear formatting.

General domain of usage  
Spreadsheet data manipulation

This lesson focuses on adjusting worksheet structure by **inserting and deleting columns, rows, and cells**.

Understanding these tools helps you organize your data efficiently and maintain a clear, functional layout.

Initial Workbook

import unittest
import json
import os


def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message
        test_case.assertTrue(True, success_message)
    else:
        test_case._testMethodName = failure_message
        test_case.fail(failure_message)


class TestUserCode(unittest.TestCase):
    @classmethod
    def setUpClass(cls):
        cls._no_data = True
        cls.sheet = {}
        cls.styles = {}
        if os.path.exists("payload.json"):
            try:
                with open("payload.json") as f:
                    raw = f.read().strip()
                if not raw:
                    return
                data = json.loads(raw)
            except (json.JSONDecodeError, ValueError):
                return
        else:
            return
        cls._no_data = False
        cls.sheets = data.get("sheets", {})
        cls.section2 = next((s for s in cls.sheets.values() if s.get("name") == "Section 2"), None)
        cls.section3 = next((s for s in cls.sheets.values() if s.get("name") == "Section 3"), None)
        cls.section5 = next((s for s in cls.sheets.values() if s.get("name") == "Section 5"), None)

    # ------------------------------------------------------------------ #
    # Helper
    # ------------------------------------------------------------------ #

    def _val(self, sheet, row, col):
        """Return cell value at 0-based row/col."""
        if not sheet:
            return None
        row_data = sheet.get("cellData", {}).get(str(row), {})
        cell = row_data.get(str(col))
        if cell:
            return cell.get("v") if cell.get("v") is not None else cell.get("f")
        for key, c in row_data.items():
            if "-" in key:
                try:
                    s, e = map(int, key.split("-", 1))
                    if s <= col <= e:
                        return c.get("v") if c.get("v") is not None else c.get("f")
                except ValueError:
                    pass
        return None

    def _all_values_in_sheet(self, sheet):
        """Return a flat set of all non-None values in the sheet."""
        values = set()
        for row_data in sheet.get("cellData", {}).values():
            for cell in row_data.values():
                v = cell.get("v")
                if v is not None:
                    values.add(v)
        return values

    # ------------------------------------------------------------------ #
    # Step 1 — Insert column before D in Section 2
    # Row 9 (0-based 8): col D (3) must be empty, "Sick [h].mm" shifted to col E (4)
    # ------------------------------------------------------------------ #

    def test_column_inserted_section2(self):
        if self._no_data:
            _dynamic_test(self, True, "New column inserted before D in Section 2.", ""); return
        if not self.section2:
            self.skipTest("Section 2 not found")
        d_val = self._val(self.section2, 8, 3)   # Excel D9 = row 8, col 3
        e_val = self._val(self.section2, 8, 4)   # Excel E9 = row 8, col 4
        ok = d_val is None and e_val == "Sick [h].mm"
        _dynamic_test(self, ok,
            "New column inserted before D in Section 2.",
            f"Column not inserted correctly in Section 2: "
            f"D9={d_val!r} (expected None), E9={e_val!r} (expected 'Sick [h].mm').")

    # ------------------------------------------------------------------ #
    # Step 2 — Insert row above row 6 in Section 3
    # Row 6 (0-based 5) must be empty; first data row "795.090.003" shifts to row 7 (0-based 6)
    # ------------------------------------------------------------------ #

    def test_row_inserted_section3(self):
        if self._no_data:
            _dynamic_test(self, True, "New row inserted above row 6 in Section 3.", ""); return
        if not self.section3:
            self.skipTest("Section 3 not found")
        row6_a = self._val(self.section3, 5, 0)   # Excel A6 = row 5, col 0
        row7_a = self._val(self.section3, 6, 0)   # Excel A7 = row 6, col 0
        ok = row6_a is None and row7_a == "795.090.003"
        _dynamic_test(self, ok,
            "New row inserted above row 6 in Section 3.",
            f"Row not inserted correctly in Section 3: "
            f"A6={row6_a!r} (expected None), A7={row7_a!r} (expected '795.090.003').")

    # ------------------------------------------------------------------ #
    # Step 3 — Delete row 14 in Section 5
    # "19-122" (Echoes of Time) must be gone; row 14 (0-based 13) now holds "68-111"
    # ------------------------------------------------------------------ #

    def test_row_deleted_section5(self):
        if self._no_data:
            _dynamic_test(self, True, "Row 14 deleted in Section 5.", ""); return
        if not self.section5:
            self.skipTest("Section 5 not found")
        row14_a = self._val(self.section5, 13, 0)   # Excel A14 = row 13, col 0
        all_vals = self._all_values_in_sheet(self.section5)
        row14_correct = row14_a == "68-111"
        row_deleted = "19-122" not in all_vals
        ok = row14_correct and row_deleted
        _dynamic_test(self, ok,
            "Row 14 deleted in Section 5.",
            f"Row 14 not deleted in Section 5: "
            f"A14={row14_a!r} (expected '68-111'), "
            f"'19-122' still present: {not row_deleted}.")


if __name__ == "__main__":
    unittest.main()


test_main.py

Dive into the world of Excel with this comprehensive video course, designed to take you from basic navigation to mastering functions and basic data analysis. Starting with foundational skills like data entry and cell formatting, you'll quickly progress to using powerful tools. Whether you're organizing large datasets, performing statistical analysis, or creating dynamic charts, this course equips you with the practical skills needed in today’s data-driven environment.

Kickstart your journey with Excel by understanding its interface, basic functions, and essential data entry techniques. Learn how to navigate toolbars, worksheets, and master the fundamental elements to set a solid foundation.

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Dive into the art of data visualization using Excel's powerful charting tools. You'll learn to create various types of charts, customize them to enhance visual appeal, and manipulate data within charts to present clear and compelling visual stories.

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