Instances

[ewhwjm]

How do I save a specific instance that I can then re use few days later? Right now, after a certain of time, when I run dtale.show(df) it will override all my instances with the original data

[aschonfeld]

So currently the only way to do what you're suggesting would be to export your data to CSV or TSV using the button shown here:

Then the next time you open the tool you have a few options:

• click the upload button and selected the file you exported previously
• open the tool with no data loaded using dtale.show() and then select the file for upload from the UI
• programmatically load the file using dtale.show_csv(path=path_to_export) or dtale.show_tsv(path=path_to_file)

I've recently had a request to support parquet files. I already support loading them programmatically dtale.show_parquet but not from the "Load Data" popup in the UI. I will add that and I will also add the ability to export your data to parquet.

The last thing I wanted to let you know about is that if you are working with D-Tale from a notebook or python console and you have access to your instance you can do things like the following:

import dtale
import pandas as pd

d = dtale.show(pd.Dataframe([1,2,3,4,5]))
# display you instance in a jupyter cell and perform some operations
# d.data is the current underlying pandas dataframe being displayed in your D-Tale instance with all edits included
d.data.to_csv...
d.data.to_excel...

[ewhwjm]

Thank you very much Andrew Amazing package, big fan Can I ask future questions on this email address? Or do I need to go through GITHUB again (easier for me on email) Thx again From: Andrew Schonfeld ***@***.*** Sent: October 26, 21 1:32 PM To: man-group/dtale ***@***.***> Cc: Winiarz, Edward ***@***.***>; Author ***@***.***> Subject: Re: [man-group/dtale] Instances (Issue #590) [External]/[Externe]<https://connect.fg.rbc.com/community/techhub/external-email-indicator> So currently the only way to do what you're suggesting would be to export your data to CSV or TSV using the button shown here: [image]<https://user-images.githubusercontent.com/11547371/138929769-c9f7335e-53da-438f-b28f-c7cf49fdf414.png> Then the next time you open the tool you have a few options: * click the upload button and selected the file you exported previously * open the tool with no data loaded using dtale.show() and then select the file for upload from the UI * programmatically load the file using dtale.show_csv(path_to_export) or dtale.show_tsv(path_to_file) I've recently had a request to support parquet files. I already support loading them programmatically dtale.show_parquet but not from the "Load Data" popup in the UI. I will add that and I will also add the ability to export your data to parquet. The last thing I wanted to let you know about is that if you are working with D-Tale from a notebook or python console and you have access to your instance you can do things like the following: import dtale import pandas as pd d = dtale.show(pd.Dataframe([1,2,3,4,5])) # display you instance in a jupyter cell and perform some operations # d.data is the current underlying pandas dataframe being displayed in your D-Tale instance with all edits included d.data.to_csv... d.data.to_excel... — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub<#590 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AR5FHJUMCUBP5GWRHLGLFNTUI3Q2XANCNFSM5GV2VKPA>. Triage notifications on the go with GitHub Mobile for iOS<https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android<https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>.

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[aschonfeld]

@ewhwjm It's definitely better going through github since others can view the thread if they have a similar issue, but if it's unfeasible then feel free to email me directly.

Also, if you haven't already, please toss your ⭐ on the repo! Thanks 🙏

[aschonfeld]

@ewhwjm I added loading parquet files from the UI in v1.60.1