I am building an app with Dash plotly, and the app has the option to save a csv file (that create during the running time of the app), but I have problem with saving the csv file. What I was trying to do is to use html.A component, and set the href attribute with this data: csv_string = df.to_…

For use in Dash, you can just create a client side callback that uses a blob. Here is an example using dash-extensions, import io import dash import dash_html_components as html import numpy as np import pandas as pd from dash.dependencies import Output, Input from dash_extensions.snippets import …

I found this link: http://chandrewz.github.io/blog/downloading-large-csv-files-via-href that describe exactly the problem I have. Is there a solution similar to what the author suggest in Python?

@Emil Is there a way to use this without the flag prevent_initial_callbacks?

Yes, that is not important. I guess you can just omnit it.

@Emil Amazing! Thank you. Do you know how can I use this solution to save images and zip files? Right now I am saving images with this code: out_img = BytesIO() in_fig.savefig(out_img, format=format, dpi=dpi, bbox_inches=bbox_inches) out_img.seek(0) # rewind file encoded = base64.b64encode(out_i…

I decided to wrap the code in a component for convenience. Now (version 0.0.10), you can simply use the Download component. Hence the previous example now look like this, import io import dash import dash_html_components as html import numpy as np import pandas as pd from dash.dependencies import …

Could you provide a mwe of the figure/zip issue in question, i.e. include e.g. figure data?

@Emil in_fig is a matplotlib figure

I have just (version 0.0.11) updated the Download component to handle images as byte arrays. Here is a small example using matplotlib, import io import dash import dash_html_components as html import matplotlib import matplotlib.pyplot as plt import numpy as np from dash.dependencies import Output…

Hello @Emil , I liked your Download extension :slight_smile: While using it, I couldn’t find a way to skip returning the “data” input. Example: @app.callback(Output("download", "data"), [Input("btn", "n_clicks")]) def generate_csv(n_clicks): if n_clicks: ... return dict(filenam…

Thanks! The “prevent_initial_callbacks” is introduced in Dash 1.12.0, so your’ll need that version for my example to work. If you wish to about a callback, you can use the raise the PreventUpdate exception (or return dash.no_update for elements that are not to be updated).

Download large csv file

Dash Python

AIMPED November 10, 2023, 11:46am 19

Could you provide a MRE?

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Download large csv file

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