Want to pass list to Bar chart values

[birdsarah]

I was hoping to do what is shown here:

to get a bar chart like:

[rothnic]

@fpliger, I think this would be a good example of simplifying the use of the blend operation. The current example stacked_bar.py produces this, but with more work. I think it makes sense to accept multiple values columns, in the same way that line, timeseries, area accept series input and understand that internally the data blend would occur.

The challenge here is what do you call the label associated with ['bronze', 'silver', 'gold']? You'd want something like "medals" set as an optional input option, but for it to also work without specifying. I think right now the blend uses a default value, since it is utilizing pandas.melt, but with this case we'd also want to support a kwarg to set the label as well.

I think it would also provide an alternative for supporting the simple data types. Bar({'a': 5, 'b': 8}, values=['a', 'b']).

[fpliger]

Agreed... it's not that hard to make it work when you have lists as input type for values. We could stick with melt default (IIRC it's value)

I think we could include this into 0.11..

I think it would also provide an alternative for supporting the simple data types. Bar({'a': 5, 'b': 8}, values=['a', 'b']).

this use case requires more work though as you'd need a way to convert to {'a': [5], 'b': [8]}

[rothnic]

Yeah, I quickly added that locally, but we need to decide what input like that means. So, if we receive only scalars as the values, do we want the keys to be the columns or the index?

Result could be:

orient='columns'

   a  b
0  5  8

or

orient='index'

   0
a  5
b  8

[Maggie-M]

moved to bkcharts repo

[github-actions]

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