This quick guide explains the process to create Stock chart in Excel using Python. It has details to set the IDE, a list of steps, and a sample code showing how to make a Stock chart in Excel using Python. This article contains all the necessary data to generate sample data, create a chart, and customize it according to the requirements.

Steps to Draw Stock Chart in Excel using Python

1. Import the system, date, and Aspose.Cells for Python via .NET library for working with the Stock charts
2. Create small helper functions for filling the worksheet with sample data
3. Instantiate the license, create a Workbook, and add a Worksheet to it with a given name
4. Prepare sample OHLC price data and fill in the target sheet with appropriate headers and values
5. Format the date column for better visualization in the sheet
6. Define the cell ranges for date categories and their open, high, low, and close values in the chart
7. Insert the desired Stock OHLC chart, set the title, connect the chart with the data ranges, and set the layout
8. Apply proper styling, set the gridlines, and save the Excel file on the disk

These steps explain how to create a stock chart in Excel using Python. Create a Workbook, fill sample OHLC stock data in it, and format the data column for appropriate display. Then generate a Stock OHLC chart from the data, set its style, and save the Workbook with a Stock chart in it.

Code to Generate Excel Stock Graph using Python

This code demonstrates the creation of a Stock chart in Excel using Python. For further improvisation, you can auto-fit worksheet columns, freeze the header row, and apply built-in table styles for better reading using Aspose.Cells API. You can also add data labels, customize the axis titles, or export the chart image for better visualization in other environments.

This article has taught us the process to create a Stock chart. To create a Funnel chart, refer to the article Create a Funnel chart in Excel using Python.