Converted into a nested JSON file using Pandas
This is the sample csv for one row
name type aitm alitm aaitm adsc1
specs glass 70072187 ESA65Z45 ESA 65Z45 CUT TIP FG 1808-40
I'm trying to achieve the below structure of Nested JSON for every row
import pandas as pd
import json
df = pd.DataFrame([['specs','glass','70072187','ESA65Z45','ESA 65Z45','CUT TIP FG 1808-40'],
['specs','glass','666','ESA6665','ESB 666','CUT TIP FG 66-40']],
columns = ['name', 'type','aitm','alitm','aaitm','adsc1' ])
data = {'entities':[]}
for key,grp in df.groupby('name'):
for idx, row in grp.iterrows():
temp_dict_alpha = {'name':key, 'type':row['type'], 'data':{'attributes':{}}}
attr_row = row[~row.index.isin(['name','type'])]
for idx2, row2 in attr_row.iteritems():
dict_temp = {}
dict_temp[idx2] = {'values':[]}
dict_temp[idx2]['values'].append({'value':row2,'source':'internal','locale':'en_US'})
temp_dict_alpha['data']['attributes'].update(dict_temp)
data['entities'].append(temp_dict_alpha)
print(json.dumps(data, indent= 4))
Output:
print(json.dumps(data, indent= 4))
{
"entities": [
{
"name": "specs",
"type": "glass",
"data": {
"attributes": {
"aitm": {
"values": [
{
"value": "70072187",
"source": "internal",
"locale": "en_US"
}
]
},
"alitm": {
"values": [
{
"value": "ESA65Z45",
"source": "internal",
"locale": "en_US"
}
]
},
"aaitm": {
"values": [
{
"value": "ESA 65Z45",
"source": "internal",
"locale": "en_US"
}
]
},
"adsc1": {
"values": [
{
"value": "CUT TIP FG 1808-40",
"source": "internal",
"locale": "en_US"
}
]
}
}
}
},
{
"name": "specs",
"type": "glass",
"data": {
"attributes": {
"aitm": {
"values": [
{
"value": "666",
"source": "internal",
"locale": "en_US"
}
]
},
"alitm": {
"values": [
{
"value": "ESA6665",
"source": "internal",
"locale": "en_US"
}
]
},
"aaitm": {
"values": [
{
"value": "ESB 666",
"source": "internal",
"locale": "en_US"
}
]
},
"adsc1": {
"values": [
{
"value": "CUT TIP FG 66-40",
"source": "internal",
"locale": "en_US"
}
]
}
}
}
}
]
}
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