new `selector` keyword argument that can be function not documented in v4.12.0

[nicholas-esterer]

We can select graph objects using a function (as said in the CHANGELOG):

>>> import plotly.express as px
>>> df=px.data.tips()
>>> fig=px.scatter(df,x='total_bill',y='tip',facet_row='sex',facet_col='smoker')
>>> list(fig.select_yaxes(lambda ax: ax.title.text == 'tip'))
[layout.YAxis({
    'anchor': 'x', 'domain': [0.0, 0.485], 'title': {'text': 'tip'}
}), layout.YAxis({
    'anchor': 'x3', 'domain': [0.515, 1.0], 'matches': 'y', 'title': {'text': 'tip'}
})]

but it is not documented

>>> help(fig.select_yaxes)
...
    selector: dict or None (default None)
        Dict to use as selection criteria.
        yaxis objects will be selected if they contain
        properties corresponding to all of the dictionary's keys, with
        values that exactly match the supplied values. If None
        (the default), all yaxis objects are selected.
...