[BUG] categorical color encoding does not allow two values to have the same color

[DataBoyTX]

Describe the bug

If I use a categorical color encoding and try to set two values to have the same color, only one of the them uses the color, the other gets set to the default color

To Reproduce

import datetime 
import pandas as pd
import numpy as np 
import graphistry
import math 

graphistry.register(api=3, personal_key_id='', personal_key_secret='', server='...') 

num_recs=353
num_edges=787

ndf = pd.DataFrame({'ID' : range(num_recs),
                   'tier' : np.random.randint(1,9,num_recs),
                   'FL_risk_exposure' : np.random.randint(0,100,num_recs),
                   'risk_level' : [np.random.choice(['no_risk', 'high_risk', 'med_risk']) for i in range(num_recs)], 
                   'flagged_company' : [np.random.choice(['Yes', 'No']) for i in range(num_recs)], 
                   'rating' : np.random.randint(0,10,num_recs)})

edf = pd.DataFrame({'source' : np.random.choice(10,num_edges),
                    'target' : np.random.choice(10,num_edges)})

tier2len = ndf.tier.value_counts().to_dict()

ndf['x'] = ndf.apply(lambda row: (row['tier']) * math.cos(2*math.pi * row['ID']/tier2len[row['tier']] ), axis=1)
ndf['y'] = ndf.apply(lambda row: (row['tier']) * math.sin(2*math.pi * row['ID']/tier2len[row['tier']]), axis=1)

g3 = (graphistry.addStyle(bg={'color': '#F2F7F8'})
                .nodes(ndf, 'ID')
                .edges(edf, 'source', 'target')
                .settings(url_params={'play': 0,'pointSize': .3,'edgeOpacity': .1}, height=800)
                .encode_axis([
                    {'r': 1, 'space': True, "label": "Tier 1"},
                    {'r': 2, 'space': True, "label": "Tier 2"},
                    {'r': 3, 'space': True, "label": "Tier 3"},
                    {'r': 4, 'space': True, "label": "Tier 4"},
                    {'r': 5, 'space': True, "label": "Tier 5"},
                    {'r': 6, 'space': True, "label": "Tier 6"},
                    {'r': 7, 'space': True, "label": "Tier 7"},
                    {'r': 8, 'space': True, "label": "Tier 8"},
                    {'r': 9, 'space': True, "label": "Tier 9"}])
                .encode_point_color('risk_level', as_categorical=True,
                                    categorical_mapping={
                    # 'no_risk' : 'black',
                    'high_risk' : 'red',
                    'med_risk' : 'red'}, default_mapping='black')
     )

g3.plot()

Expected behavior expect med_risk to be red, but it is showing black

Screenshots

pygraphistry v0.33.2

[lmeyerov]

I'll do some quick research

Agreed, can be a fun one for @mj3cheun

[lmeyerov]

OK confirmed, looking like a straightforward streamgl-viz backend fix