csv

How To Export Plotly Data to CSV

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    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.

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    Exporting Plotly Data to CSV

    • Overview

      Plotly provides multiple ways to export data to CSV format, making it easier for users to analyze and share their data. This functionality is enabled by default and can be accessed through several methods, including API calls and context menus.

    • Exporting via API Call

      To export grid data to CSV, you can use an API call. This method ensures that the data exported is the same as the data present in the grid. Raw values are included in the export process, while value getters format the exported data.

    • Using the Right-Click Context Menu

      For those using the Enterprise version, an alternative method to export data to CSV is via the right-click context menu on the grid. This method follows the same principles as the API call, exporting raw values and utilizing value getters.

    • Handling Cell Renderers and Formatters

      When exporting data, Plotly ensures that raw values are used rather than the results from cell renderers. By default, cell formatters are employed via the Use Value Formatter for Export feature to format the exported data.

    • Row Grouping in Export

      Row grouping is preserved in the exported CSV file, irrespective of whether the groups are open or closed in the user interface. This ensures consistency and accuracy in the exported data structure.

    • Conclusion

      Plotly's data export to CSV feature is versatile and straightforward. Whether using API calls or context menus, users can easily convert their grid data to CSV format while preserving the raw data values and applying necessary formatting.

    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.

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    Unlocking Use Cases with Plotly Data

    Interactive Dashboards for Business Decision-Makers

    Dash apps provide a point-and-click interface to complex Python models, allowing business decision-makers to leverage sophisticated data analytics easily. These apps expand the capabilities of traditional dashboards, enabling more insightful decision-making processes.

    Visualization of Sophisticated Data Analytics

    Plotly's Dash platform excels in visualizing intricate data pipelines and analytics. Businesses can utilize its tools to bring complex Python-generated analyses to life, making it possible for operators to engage with live data and derive actionable insights efficiently.

    Customizable and Interactive Data Visualizations

    Plotly offers over 40 different chart types, each highly customizable, making it ideal for exploring and presenting complex datasets. The interactivity features allow users to delve into data details and create tailored visual narratives suited to specific business needs.

    Rapid Deployment and Scalability with Dash Enterprise

    Dash Enterprise by Plotly provides a robust platform for one-click deployment of data apps. This low-code platform supports the rapid development of production-grade applications, making it a cost-effective solution for businesses requiring scalable data-science apps.

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    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.

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    Frequently Asked Questions

    How can I export grid data to CSV using Plotly?

    The grid data can be exported to CSV with an API call or using the right-click context menu on the Grid, which is available in the Enterprise version.

    Are the raw values exported when exporting to CSV from Plotly?

    Yes, the raw values are exported when exporting data to CSV.

    Does Plotly use cell formatters during CSV export?

    Yes, cell formatters are used by default via the Use Value Formatter for Export feature.

    Are value getters used when exporting data to CSV with Plotly?

    Yes, value getters are used when exporting data to CSV.

    Is the same data displayed in the grid exported to the CSV file?

    Yes, the same data that is in the grid is exported to the CSV file.

    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.

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