lmeyerov

Leo needs to test

Thanks again @Parth-Joshi-6669 ! We have some internal APIs and heuristics here that may make sense to expose. Your point about the ability to support type-based selection makes sense, and...

Generalized a bit: ```python import math, numpy as np def with_type_sizing(base_g, scale_col = "degree", partition_col = 'type', scaler = None, ignore_existing_scale_col=False): """ Add a point_size encoding based on scale_col, where...

See also new `impute_and_scale_matrix` (ai branch) for additional auto-normalization options

- multiple attributes, such as one as a relative importance factor, is interesting... good idea! will want to play with some scenarios, like `degree` + `score`, `pagerank` + `risk`, ......

This may really be two things: 1. PyGraphistry client: Warn on unexpected dtypes, and potentially add a default-off coercion mode 2. Same-but-different for the upload endpoints: by default, clear error...

As part of closing this out, I think we should make sure the docs are good + include extreme/useful cases as part of the intro or a standalone ipynb. I...

waiting on landing in pygraphistry branch local version (install from branch) seems to work though unpinned dependencies

Interim workaround: `g.edges(df).plot(render=False)`

We should update pygraphistry gremlin based on UBS experience as well