Hi,
I was dealing with exactly the same problem and I came up with a simple solution, it is sort of hacky, but it works well.
The idea is:
- Hide the default Export button using CSS
- Create custom Export button
- Create JS callback that calls click() on the default Export button
main.py:
import os
import pandas as pd
import dash_table
import dash
import dash_html_components as html
from dash.dependencies import Input, Output
df = pd.read_csv(
"https://raw.githubusercontent.com/plotly/datasets/master/solar.csv"
)
app = dash.Dash(__name__)
app.layout = html.Div([
html.Button("Custom export", id="export_table"),
dash_table.DataTable(
id="table_to_export",
columns=[{"name": i, "id": i} for i in df.columns],
data=df.to_dict("records"),
export_format="xlsx",
export_headers="display",
),
])
app.clientside_callback(
"""
function(n_clicks) {
if (n_clicks > 0)
document.querySelector("#table_to_export button.export").click()
return ""
}
""",
Output("export_table", "data-dummy"),
[Input("export_table", "n_clicks")]
)
if __name__ == "__main__":
app.run_server()
assets/custom.css:
#table_to_export button.export {
display: none;
}