Data visualization is an essential tool, as it makes it easier to understand complex data sets and make informed decisions. Tornado charts are useful for sensitivity analysis because they provide a graphical output that enables the assessment of variation in input variables on a specific output. In this blog post, we will learn how to create tornado charts in Excel using Python.
This article covers the following topics:
- What are tornado charts?
- Python API to create tornado charts in Excel
- Create a tornado chart in Excel
- Insert data and create a tornado chart in Excel
- Get a free license
- Free resources
What is a Tornado Chart?
A tornado chart is a form of bar chart particularly useful in comparing the extent of change in one output arising from various inputs. When it comes to choice or the assessment of risk, it makes it easy to determine which variable has the greatest impact on the result. The diminishing order of the bars generates a shape that is in the form of a tornado, thus the name.
Python Tornado Charts API in Excel
For creating tornado charts in Excel, we will leverage the charting features of the Aspose.Cells for Python API. It is an effective tool that enables developers to create, manipulate, convert, and perform other operations on Excel files in their applications.
Before diving into creating tornado charts, let’s set up our environment and install Aspose.Cells for Python.
To install Aspose.Cells for Python, please download the package or install the API from PyPI using the following pip command in your terminal:
pip install aspose-cells-python
Create a Tornado Chart in Excel using Python
After setting up the environment, we can easily create a tornado chart in an Excel worksheet by following the steps below:
- Load the Excel file with data using the Workbook class.
- Get the desired worksheet into a Worksheet class object.
- Add a stacked bar chart using the Charts.add() method.
- Access the chart by its index in a Chart class object.
- Set the data source for the chart using the set_chart_data_range() method.
- Set the required properties for the chart.
- Finally, save the document using the save() method.
The following code sample shows how to create a tornado chart in Excel using Python.
Insert Data and Create a Tornado Chart in Excel
So far, we have learned how to create a tornado chart using a worksheet with pre-populated data. Now, we will see how to insert data into an Excel worksheet using the put_value() method of the Cells class. The rest of the process for creating a tornado chart will remain the same.
The following code sample shows how to insert data and then create a tornado chart in Excel using Python.
Get a Free License
Unlock the full potential of creating tornado charts in Excel with a free temporary license! Simply visit our page for quick and easy instructions on how to claim your free license and enjoy unrestricted access.
Excel Tornado Charts in Python – Free Resources
Besides creating tornado charts in Excel using Python, explore other data visualization techniques and enhance your data analysis capabilities using Python and Aspose.Cells. For more information and advanced features, refer to the following resources:
Conclusion
In this article, we have learned how to create tornado charts in Excel using Python. Aspose.Cells for Python is a powerful library that allows for programmatic manipulation of Excel files, enabling the automation of data visualization tasks. By following the steps outlined in this article, you can create customized tornado charts to effectively visualize the impact of various factors on specific outcomes.
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