I would like to find matching strings in a path and use np.select to create a new column with labels dependant on the matches I found.
This is what I have written
import numpy as np
conditions = [a["properties_path"].str.contains('blog'),
a["properties_path"].str.contains('credit-card-readers/|machines|poss|team|transaction_fees'),
a["properties_path"].str.contains('signup|sign-up|create-account|continue|checkout'),
a["properties_path"].str.contains('complete'),
a["properties_path"] == '/za/|/',
a["properties_path"].str.contains('promo')]
choices = [ "blog","info_pages","signup","completed","home_page","promo"]
a["page_type"] = np.select(conditions, choices, default=np.nan)
However, when I run this code, I get this error message:
ValueError: invalid entry 0 in condlist: should be boolean ndarray
Here is a sample of my data
3124465 /blog/ts-st...
3124466 /card-machines
3124467 /card-machines
3124468 /card-machines
3124469 /promo/our-gift-to-you
3124470 /create-account/v1
3124471 /za/signup/
3124472 /create-account/v1
3124473 /sign-up
3124474 /za/
3124475 /sign-up/cart
3124476 /checkout/
3124477 /complete
3124478 /card-machines
3124479 /continue
3124480 /blog/article/get-car...
3124481 /blog/article/get-car...
3124482 /za/signup/
3124483 /credit-card-readers
3124484 /signup
3124485 /credit-card-readers
3124486 /create-account/v1
3124487 /credit-card-readers
3124488 /point-of-sale-app
3124489 /create-account/v1
3124490 /point-of-sale-app
3124491 /credit-card-readers
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