sdementen
sdementen
probably related to issue https://github.com/dask/dask/issues/6925
I have replaced `app.scripts.append_script(dict(external_url=app.get_asset_static_url("script.js")))` by `app.scripts.append_script(dict(external_url=app.get_asset_url("script.js")))` as you asked and I get the same error message (I had already configured my django to use locally served files by following https://django-plotly-dash.readthedocs.io/en/latest/local_assets.html#local-assets)....
I have just commented the second part of the condition in https://github.com/plotly/dash/blob/dev/dash/resources.py#L46 and got it working with external_url but patching dash like this doesn't sound clean. In the exception message,...
with #312 , I can write: ```python app = DjangoDash( "myapp", external_scripts=[ static_asset_path(__name__, "my-local-script.js"), ], external_stylesheets=[ "https://unpkg.com/[email protected]/dist/tailwind.min.css", static_asset_path(__name__,"my-local-css.css"), dbc.themes.BOOTSTRAP, ], ) ``` and it works
Maybe still a need to update the docs around the use of append_script?
You can google like https://www.google.com/search?safe=active&client=ms-android-samsung-ss&sxsrf=ALeKk0148RZ-MDnFz2BlbdOKsijf-Lnbbg%3A1615445522653&ei=Er5JYOqaJ5D7kwXBs6ToAw&q=pandas+to_excel+performance&oq=pandas+to_excel+performance What do you mean by "modifying the data frame before exporting"? Typically, a user (like me) works with data frames and wishes to save the...
If what you mean is that the user does not export directly a data frame to excel but writes it to excel and then modify the excel before saving, it...
For an approach based on a dense data table+a layer to capture the changes (this is what you do currently if I read correctly between your lines), 8t would be...
Some discussion on the topic of excel/python performance https://github.com/tfussell/xlnt/issues/184