Summary  
This chapter demonstrates how to adjust and refine UI component properties by adding, removing, and formatting elements like titles, legends, and labels to improve presentation clarity.

General domain of usage  
Data visualization

This chapter focuses on **adjusting and refining chart elements** to improve data presentation.

You will learn how to add, remove, and modify components such as titles, legends, and labels to make charts clearer and more informative.

## Key Point

Chart elements (such as Title, Data Labels, and Legend) can be accessed and modified in two ways: by clicking the **+** (**Chart Elements**) button next to the selected chart, or by going to the **Chart Design** tab → **Chart Layouts** group → **Add Chart Element**.

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.sheet_id = next(iter(data["sheets"]))

        # Parse chart plugin
        resources = data.get("resources", [])
        cp = next((r for r in resources if r.get("name") == "SHEET_CHART_PLUGIN"), {})
        raw = cp.get("data", "{}")
        chart_data = json.loads(raw) if raw else {}
        cls.charts = chart_data.get(cls.sheet_id, [])

    # ------------------------------------------------------------------ #
    # Step 1 — Chart title set to "Revenue"
    # Stored in chart.style.titles.title.content
    # ------------------------------------------------------------------ #

    def test_chart_title_revenue(self):
        if self._no_data:
            _dynamic_test(self, True, "Chart title set to 'Revenue'.", ""); return
        if not self.charts:
            _dynamic_test(self, False,
                "Chart title set to 'Revenue'.",
                "No chart found. Make sure you are working on the correct sheet.")
            return

        # Check all charts — pass if any has title "Revenue"
        titles = [
            c.get("style", {}).get("titles", {}).get("title", {}).get("content", "")
            for c in self.charts
        ]
        ok = "Revenue" in titles
        _dynamic_test(self, ok,
            "Chart title set to 'Revenue'.",
            f"Chart title is not 'Revenue' (found: {titles}). "
            f"Click the chart → top-right button → Customize tab → "
            f"Chart and Axis Titles → Title Text → enter 'Revenue'.")


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


test_main.py

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Gain proficiency in managing worksheets and workbooks within Excel. This section teaches you how to effectively organize and manipulate workbook elements, utilize formatting tools, and secure your work with passwords, providing a thorough grounding in workbook operations.

Customizing Excel Chart Elements

Key Point