How to Set Point as Total with Python.NET

What is “Set Point as Total” in Excel Chart

In some Excel charts like waterfall charts, certain data points represent the cumulative sum of previous values. This article demonstrates how to programmatically configure these total points using Aspose.Cells.

Waterfall Chart Requiring Total Points

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This waterfall chart example shows four “Total” data points that should aggregate previous values. The highlighted “Total 2024” point demonstrates an unconfigured total state in the original file. Download the sample Excel file to follow along.

Configure Total Points with Aspose.Cells for Python

The following code demonstrates proper total point configuration:

import aspose.cells as cells
from aspose.cells.charts import ChartType

# Load sample workbook
workbook = cells.Workbook("SampleSheet.xlsx")

try:
    # Access first worksheet and chart
    worksheet = workbook.worksheets[0]
    chart = worksheet.charts[0]
    
    # Verify chart type
    if chart.type == ChartType.WATERFALL:
        # Configure chart data range
        chart.set_data_range("A1:B8", True)
        
        # Customize series formatting
        chart.n_series.is_color_varied = True
        
        # Configure total points (0-based indices)
        total_points = [3, 5, 7]  # Points to mark as totals
        for i in total_points:
            point = chart.n_series.points[i]
            point.is_total = True
            
        # Save modified workbook
        workbook.save("output.xlsx")
        
except Exception as e:
    print(f"Error processing workbook: {str(e)}")
import os
from aspose.cells import Workbook

file_path = ""
wb = Workbook(os.path.join(file_path, "SampleSheet.xlsx"))
worksheet = wb.worksheets[0]
chart = worksheet.charts.get("Graphiq5")

# Set some points as total column
# In this example, we set points 0, 4, 8, 12 as total
chart.n_series[0].layout_properties.subtotals = [0, 4, 8, 12]
wb.save(os.path.join(file_path, "output.xlsx"))

The corrected output file now properly configures total points:

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Key implementation details:

  • Use 0-based indices for data points
  • Set is_total property on ChartPoint objects
  • Ensure proper data range configuration
  • Handle chart type validation

See ChartPoint documentation for advanced configuration options.