I just have to check the JSON data on the basis of comma-separated e_code in the table. how to filter only that data where users e_codes are available in the database:
id email age e_codes
1. abc@gmail 19 123456,234567,345678
2. xyz@gmail 31 234567,345678,456789
This is my JSON data
[
{
"ct": 1,
"e_code": 123456,
},
{
"ct": 2,
"e_code": 234567,
},
{
"ct": 3,
"e_code": 345678,
},
{
"ct": 4,
"e_code": 456789,
},
{
"ct": 5,
"e_code": 456710,
}
]
If efficiency is not an issue, you could loop through the table, split the values to a list by using case['e_codes'].split(',')
and then, for each code loop through the JSON to see whether it is present. This might be a little inefficient if your data, JSON, or number of values are long.
It might be better to first create a lookup dictionary in which the codes are the keys:
lookup={}
for e in my_json:
lookup[e['e_code']] = 1
You can then check how many of the codes in your table are actually in the JSON:
## Let's assume that the "e_codes" cell of the
## current line is data['e_codes'][i], where i is the line number
for i in lines:
match = [0,0]
for code in data['e_codes'][i].split(','):
try:
match[0]+=lookup[code]
match[1]+=1
except:
match[1]+=1
if match[1]>0: share_present=match[0]/match[1]
For each case, you get a share_present
, which is 1.0 if all codes appear in the JSON, 0.0 if none of them do and some value between to indicate the share of codes that were present. Depending on your threshold for keeping a case you can set a filter to True
or False
depending on this value.
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