Reactions
-
Re: Save pandas dataframe to .xlsx in managed S3 folder
I suggest you take a look at the following link, which illustrates how to work with multiple sheets in a single document. Regards1 · -
Re: S3 dataset with more than 1500 csv files
Hi @CoreyS , The problem was due to the duration requested by DSS for the STS token. By default DSS asked for a duration of 1 hour. This problem was observed on DSS version 7.0.2. We became aware tha…1 · -
Save pandas dataframe to .xlsx in managed S3 folder
Dear all, In a similar vein to the question Save pandas dataframe to .csv in managed S3 folder I would like to know how to write an excel file to the same type of managed S3 folder. I have successful…3 · -
Re: Save pandas dataframe to .xlsx in managed S3 folder
Nevermind, the solution was right under my nose. In fact, the contents of the dataframe must first be written to a BytesIO object which then is uploaded to the managed folder: buf = io.BytesIO() df.t…6 · -
Re: sync project across machines
Dear @GreaseMonkey and @Omar , Thanks for both your replies. I particularly like the possibility that @GreaseMonkey pointed to, that is the synchronization via the repo git for the projects, unfortun…1 ·
