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@kmcelwee
Created February 25, 2021 20:06
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import pandas as pd
df = pd.read_csv('pgp.csv')
df_multi_type = df[~pd.isna(df['Type']) & df['Type'].str.contains(';')]
df_multi_type['Type'].count() # 148 multi-type PGPIDs
df_multi_type[df_multi_type['Library'] == 'CUL']['Type'].count() # 75 PGPIDs multi-type from CUL
# list 148 of PGPIDs
31166
32188
19012
32262
6261
6276
19310
19318
19329
9324
19452
19461
19706
8915
19821
19835
19836
31511
630
5671
29644
29650
29668
10101
11420
11935
11698
12327
11709
12017
11479
11766
11767
11409
12122
11483
12622
11778
10952
11794
12770
12160
10060
10061
11163
11384
11833
11839
11849
11865
12662
12244
31783
31800
28416
28676
28690
28708
28709
26754
26783
26786
26788
26812
27046
18854
27173
32291
32292
32297
32298
11268
27420
31716
2922
2926
2935
9231
7857
3123
3129
7212
3351
5896
8043
1187
30088
3427
3487
1779
1966
1994
2023
20239
8190
8191
20290
8192
20295
20301
20339
20490
21052
21057
21060
21201
8298
8327
22546
22560
32075
22717
9249
23108
23183
23184
23207
32107
32108
30133
23320
23322
23361
23390
8381
23404
23405
23433
8374
23437
23509
23516
23518
25415
25480
25669
26282
26292
26379
26380
26382
26390
1425
2451
27846
6947
28002
28089
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