view_pandas accepting multiple DataFrame objects?

[jgarte]

Hi,

What do you think if view_pandas could take any number of DataFrame objects?

Maybe it can open each one as a separate sheet?

[saulpw]

What would be the names of the sheets?

[jgarte]

view_pandas(foo, bar, baz)

The sheets could be called foo, bar, and baz or Foo, Bar, and Baz, respectively?

[saulpw]

That would be great, but we can't reasonably get at those variable names from inside the function. What about view_pandas(foo=foo, bar=bar, baz=baz)?

[jgarte]

That approach looks good to me :)

Should I create an issue for this feature request?

[saulpw]

The code is really simple, and would go into visidata/loaders/_pandas.py:

@VisiData.global_api
def view_pandas(vd, *args, **kwargs):
    sheets = [PandasSheet(k, source=v) for k, v in kwargs.items()]
    sheets.extend([PandasSheet('', source=v) for v in args])
    vd.run(*sheets)

The slightly harder part is testing it, adding a docstring, figuring out where else it should be documented, and submitting a pull request. If you're willing then I'm sure it would much appreciated by other Pandas users!

[jgarte]

Nice! I'll try to take a look at those tasks this coming week/weekend.