Pandas is basically an R data frame for Python. A sloppy description of that is a text mode spreadsheet.
The description of Bonobo doesn't immediately invite the comparison to Pandas, to me anyway.
Pandas is basically an R data frame for Python. A sloppy description of that is a text mode spreadsheet.
The description of Bonobo doesn't immediately invite the comparison to Pandas, to me anyway.
Mostly, when I want a quasi-mathematical look over a dataset, pandas is my tool of choice. For all those data pipeline things that reasonably fit on one computer, I do use bonobo.
Can anybody comment how Bonobo compares to Luigi?
Is pandas the wrong kind of tool for this type of thing? Going off what rdorgueil has said, I'm beginning to suspect so. Is there a data-wrangling 'gold standard' library for python?
Create a object/class called
AuctionResult
- some datetime
- value
Then you'd query it qs = AuctionResult.objects.all()then you load it into a pandas dataframe:
df = read_frame(qs)
After that you can do all sorts of the fun stuff I imagine.