Plotly Download !!top!! Data [BEST]

There are three primary ways to handle data downloads in the Plotly ecosystem: using the built-in Modebar, leveraging Dash for custom exports, and using Python to save static files. 1. The Built-in Modebar: "Download Plot as Plotly"

from dash import Dash, dcc, html, Input, Output import pandas as pd app = Dash(__name__) df = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]}) app.layout = html.Div([ html.Button("Download CSV", id="btn_csv"), dcc.Download(id="download-dataframe-csv"), ]) @app.callback( Output("download-dataframe-csv", "data"), Input("btn_csv", "n_clicks"), prevent_initial_call=True, ) def func(n_clicks): return dcc.send_data_frame(df.to_csv, "mydf.csv") if __name__ == "__main__": app.run_server(debug=True) Use code with caution. 3. Client-Side Downloads with JavaScript

For high-performance applications where you don't want to ping the server every time a user clicks "Download," you can use . This approach uses the browser’s own memory to generate the CSV, making the download nearly instantaneous. 4. Saving Files Programmatically (Static Export) plotly download data

Sometimes "download data" refers to the developer saving the chart or data to their local machine during a script execution. For this, you need the kaleido engine. fig.write_image("chart.pdf") To save interactive HTML: fig.write_html("index.html") To export JSON: fig.write_json("figure.json") Summary Table: Which Method Should You Use? Best Method Requirement Download Image Modebar (Camera Icon) Default / config Download CSV/Excel dcc.Download (Dash) Dash Framework Save to Local Disk fig.write_image kaleido library Share Interactive Chart fig.write_html Pro-Tip: Exporting Filtered Data

The most common request is downloading only the data the user has on the screen. In Dash, you can link the relayoutData or selectedData property of your graph to your download callback. This ensures the user gets exactly what they see on their dashboard. There are three primary ways to handle data

Create a callback that triggers on the button click and returns the data using dcc.send_data_frame .

This allows users to download the current view of the chart as a PNG image. you need the kaleido engine.

You can configure the config dictionary in Plotly Python to change the format to SVG, PDF, or JPEG.