Jake Vanderplas

Thanks for the report: this seems to be due to https://github.com/Julian/jsonschema/issues/853 For now, I'd suggest using `jsonschema` version 3.2 with Altair.

Zeppelin will need some way of loading the vega-lite and vega javascript libraries. In Jupyter that is done through a javascript extension to the notebook; see https://github.com/vega/ipyvega/blob/vega3/src/index.js

More efficient data serialization would be useful, but such changes would first have to be supported in Vega-Lite.

Thanks – I don't have a windows machine to debug this, so if you're able to figure out the issue and submit a fix, that would be very helpful!

I don't know of any workaround. I don't have access to a Windows machine to try it out. Perhaps someone who has access to a windows machine might volunteer to...

@balrog-nona This is unrealted to the windows error in this issue. You need to install additional requirements in order to save to PNG; see the installation instructions here: https://github.com/altair-viz/altair_saver#additional-requirements

Legends are only created if the data within a layer is somehow grouped by a label. You can force this by adding columns of labels; for example: ```python x =...

The ``title`` keyword is documented in the API docs (e.g. [``alt.X``](https://altair-viz.github.io/user_guide/API.html#altair.X) and used in a few examples, but I think it would be useful to have a section of the...

For one thing, it's now possible to make native legends interactive: ```python import altair as alt from vega_datasets import data stockdata = data.stocks() stockdata['pe'] = stockdata['price'] / 10 selector =...

You could do something like this: ```python import altair as alt from vega_datasets import data stockdata = data.stocks() stockdata['pe'] = stockdata['price'] / 10 selector = alt.selection_single( fields=['symbol'], empty='all', init={'symbol': 'AAPL'},...