How To Export Plotly Data to CSV

Introduction

Exporting your Plotly data to CSV format is a straightforward process that allows for enhanced data management and analysis. Plotly, known for its interactive data visualization capabilities, supports data exports that are essential for detailed reporting and offline analysis.

In this guide, we will walk you through the steps needed to export Plotly data into a CSV file. Additionally, we will explore how Sourcetable lets you analyze your exported data with AI in a simple to use spreadsheet.

How to Export Your Data to CSV Format from Plotly

Export Grid Data to CSV

Plotly allows users to export grid data to CSV format easily. This can be done through an API call or by using the right-click context menu on the grid. The data that gets exported is the same as the data in the grid, including raw values and formatted values.

Using Value Getters and Value Formatters

When exporting grid data to CSV, value getters are utilized to retrieve the values. Additionally, cell formatters are applied by default during export. The "Use Value Formatter for Export" feature enables the formatting of cell values, ensuring consistency in data presentation.

Exporting Plotly Figures to CSV

Although Dash does not have a built-in feature to export plot data directly to CSV, it can still be accomplished using Dash and Pandas. By extracting the data from the Plotly figure and leveraging Pandas, you can save the data to a CSV file.

Export Raw Values

The export process handles raw values effectively, ensuring that the data exported to CSV format is accurate and true to the original data in the grid. This guarantees consistency and reliability of the exported data.

Enable CSV Export by Default

CSV export is enabled by default in Plotly, allowing users to quickly and easily export their grid data. This feature ensures that the export process is efficient and user-friendly.

Format and Save Data

To export data to CSV format, ensure that the data in the grid is formatted correctly, using value getters and formatters as needed. Once prepared, use the appropriate method—API call or context menu—to export the data seamlessly.

Why Choose Sourcetable Over Plotly Data?

Sourcetable is a powerful spreadsheet solution that integrates data from multiple sources into a single, unified platform. This feature allows users to query real-time data directly within a spreadsheet-like interface, providing a seamless and efficient data manipulation experience.

Unlike Plotly, which primarily focuses on data visualization, Sourcetable empowers users to both retrieve and analyze data in real-time. This makes it an ideal tool for those seeking a more integrated approach to data management and analysis.

With Sourcetable, you can effortlessly access and manipulate data from various databases. Its intuitive spreadsheet interface ensures that you can handle your data more efficiently, making it a versatile alternative to Plotly for comprehensive data tasks.

Conclusion

Exporting data from Plotly to CSV is a straightforward process that ensures your visualized data remains accessible and easy to manipulate. Following the outlined steps will help you preserve data integrity and leverage the flexibility of CSV format.

Once you have your data in CSV format, you can easily incorporate it into various data analysis workflows or share it across platforms. The CSV format's compatibility makes it an ideal choice for further processing and detailed examination.

Sign up for Sourcetable to analyze your exported CSV data with AI in a simple-to-use spreadsheet.