I have a list (let's say A) which has different visitor ids as its item
A=[1234,4650,8609,1675]
I have a dictionary which has the following key-value pairs
data = {"visitorid": "1234", "placement": "recommendations-ctr-airp"}
I run a predict retail API on the dictionary which will give product recommendations for the visitorID=1234.
The chain of code is as below:
from unittest.mock import Mock
data = {"visitorid": "1234", "placement": "recommendations-ctr-airp"}
req = Mock(get_json=Mock(return_value=data), args=data)
df = recommend(req)
The dataframe 'df' will be a combination of visitor Id and all the products recommended by the retail API for that particular visitor ID :
visitorId | ProductID |
---|---|
1234 | AA |
1234 | AB |
The problem that I'm facing is that how do I use list A to run the above chain of code to get the output for all the visitor ids?
CodePudding user response:
If you want to execute code for every element in a list, a simple for
loop should work.
Example:
A = [1234,4650,8609,1675]
list_of_dfs = []
for v_id in A:
data = {"visitorid": str(v_id), "placement": "recommendations-ctr-airp"}
req = Mock(get_json=Mock(return_value=data), args=data)
df = recommend(req)
list_of_dfs.append(df)
Then you have a list of the dataframes in list_of_dfs