Hey @martin2097 and @AnnMarieW , I want to store dataframe from the dcc.upload section as given in the example of Displaying Uploaded Spreadsheet Contents
How can I store this data and use it in some other callbacks?
Hello,
dcc.Store is what you are looking for. Store | Dash for Python Documentation | Plotly Check the example Share Data Between Callbacks 
Hi Martin,
Can you help me out with the coding part of dcc.store callback for storing the data from dcc.Upload as given in the example of Displaying Uploaded Spreadsheet content
I don’t understand how to call the dcc.store callback once the user has uploaded his/her csv or xlx file to store the df data ?
Hello,
I found an example of what you are asking for here: Upload CSV with dcc.Upload to store using dcc.Store and then displaying table - #3 by 3d65
Check it out, what you are asking for is kinda standard formula: Upload → Store → Table, it is the main reason why I try to pointo you in the right direction through multiple pages of documentation and examples on the forum
What is the best way to store a large file for use by later callbacks in Dash?
I am building a dashboard where you upload a dataframe and then subsequent steps are performed based on successive inputs, and the data files can be large(possibly 100s of MBs). After the initial cleaning and size reduction step(where I bring it down by 50%), I have to store the file so that the later callbacks can use it. But using dcc.store of a df.to_json doesn’t seem to be working, as the stored version is often bigger than the original file itself.
I am not sure if there is a better way to do this, as all the data is definitely needed for the later parts, and since the data is uploaded and not given from the beginning, I can’t use a global variable(anyway, that’s frowned upon).
Thank you Martin for the fast response and I appreciate for the help.
Thanks once again 
Have you tried the ServersideOutputTransform?
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