1.I need to get the value for business' name and append it to a list.
2.I need to get the value policies and append to a list after checking parent.
3.if parent is Marketing name has to added to level1.
4.if parent is Advertising name has to added to level2.
5.if some place Business is [] I need to pass None instead of Null List
Also need to check key exists or not for some keys there is a chance of missing policies, business
Sample dictionary is below
searchtest = [{'_index': 'newtest',
'_type': '_doc',
'_id': '100',
'_score': 1.0,
'_source': {'id': '100',
'name': 'A',
'Business': [{'id': '7', 'name': 'Enterprise'},
{'id': '8', 'name': 'Customer'}],
'policies': [{'id': '332',
'name': 'Second division',
'parent': 'Marketing'},
{'id': '3323', 'name': 'First division', 'parent': 'Marketing'}]}},
{'_index': 'newtest',
'_type': '_doc',
'_id': '101',
'_score': 1.0,
'_source': {'id': '101',
'name': 'B',
'Business': [{'id': '7'},
{'id': '8', 'name': 'Customer'}],
'policies': [{'id': '332',
'name': 'Second division',
'parent': 'Marketing'},
{'id': '3323', 'name': 'First division', 'parent': 'Marketing'}]}}]
Expected out
[
{
"id": "100",
"name": "A",
"Business": ["Enterprise", "Customer"],
"level1": ['Second division', 'First division'],
"level2": [ ]
},
{
"id": "101",
"name": "B",
"Business": ["Enterprise", "Customer"],
"level1": ['Second division', 'First division'],
"level2": [ ]
}
]
COde is below
def do_the_thing(lst):
resp = []
parents_mapper = {
'Marketing': 'level1',
'Advertising': 'level2'
}
for el in lst:
d = {
'id': el['_source']['id'],
'name': el['_source']['name'],
'Business': [],
'level1': [],
'level2': []
}
for business in el.get("_source", {}).get("business", {}).get("name", ""):
business_name = business.get('name')
if business_name:
d['Business'].append(business_name)
for policy in el.get('policies', []):
policy_parent = policy.get('parent')
parent_found = parents_mapper.get(policy_parent)
policy_name = policy.get('name')
if parent_found and policy_name:
d[parent_found].append(policy_name)
resp.append(d)
return resp
if __name__ == "__main__":
import pprint
pp = pprint.PrettyPrinter(4)
pp.pprint(do_the_thing(searchtest))
My output
[ {'Business': [], 'id': '100', 'level1': [], 'level2': [], 'name': 'A'},
{'Business': [], 'id': '101', 'level1': [], 'level2': [], 'name': 'B'}]
The problem in my output you can see:
'Business', 'level1' is [] is null list.
Adding one more dictionary for testing
searchtest = [{'_index': 'newtest',
'_type': '_doc',
'_id': '100',
'_score': 1.0,
'_source': {'id': '100',
'name': 'A',
'policies': [{'id': '332',
'name': 'Second division',
'parent': 'Marketing'},
{'id': '3323', 'name': 'First division', 'parent': 'Marketing'}]}},
{'_index': 'newtest',
'_type': '_doc',
'_id': '101',
'_score': 1.0,
'_source': {'id': '101',
'name': 'B',
'Business': [{'id': '9'}, {'id': '10', 'name': 'Customer'}],
'policies': [{'id': '332',
'name': 'Second division',
'parent': 'Marketing'},
{'id': '3323', 'name': 'First division', 'parent': 'Advertising'}]}}]
In the above dictionary you can see that there is no Business in 100 key and for 101 there is no name inside the Business key. So there will be key error will be coming. Need to handle that
You are not collecting data from dict, You have to select particular key to get it's value.
replace this :
for el in lst:
d = {
'id': el['_source']['id'],
'name': el['_source']['name'],
'Business': [],
'level1': [],
'level2': []
}
with this:
for el in data:
d = {
'id' : el['_source']['id'],
'name' : el['_source']['name'],
'Business' : [name['name'] for name in el['_source']['Business']],
'level1' : [name['name'] for name in el['_source']['policies']],
'level2' : []
}
output:
[ { 'Business': ['Enterprise', 'Customer'],
'id': '100',
'level1': ['Second division', 'First division'],
'level2': [],
'name': 'A'},
{ 'Business': ['Enterprise', 'Customer'],
'id': '101',
'level1': ['Second division', 'First division'],
'level2': [],
'name': 'B'}]
Related
I have a json array on python which I want to filter based on the value of : my_json_array['models']['variants']['condition']['type']
my json array looks like the following :
my_json_array = [
{'id': 1,
'models': [
{'color': {'code': '#626262', 'name': 'Gray'},
'variants': [{'id': 1,
'condition': [{'id': 1,
'type': 'type1',
'value': 14900},
{'id': 2,
'type': 'type2',
'value': 14000}]]
]
}]
I'm looking for a method to remove condition items with type = type2. The output should look like this :
my_json_array = [{
'id': 1,
'models': [
{'color': {'code': '#626262', 'name': 'Gray'},
'variants': [{'id': 1,
'condition': [{'id': 1,
'type': 'type1',
'value': 14900}]]
]
}]
Do you mean this?
my_json_array = [
{
'id': 1,
'models': [
{
'color': {'code': '#626262', 'name': 'Gray'},
'variants': [
{
'id': 1,
'condition': [
{
'id': 1,
'type': 'type1',
'value': 14900
},
{
'id': 2,
'type': 'type2',
'value': 14000
}
]
}
]
}
]
}
]
for mydict in my_json_array:
for model in mydict['models']:
for variant in model['variants']:
for condition in variant['condition']:
if condition['type']=="type2":
variant['condition'].remove(condition)
print(my_json_array) # [{'id': 1, 'models': [{'color': {'code': '#626262', 'name': 'Gray'}, 'variants': [{'id': 1, 'condition': [{'id': 1, 'type': 'type1', 'value': 14900}]}]}]}]
Problem
I am dealing with a response object and I am trying to massage it into something which could be easily consumed by a Typescript frontend.
The object:
r_obj = [
{
'custom_fields': [
{'id': 360018501198, 'value': '5678'},
{'id': 360023508598, 'value': 'Jim'},
{'id': 1900000084913, 'value': '2021-09-03'}
]
},
{
'custom_fields': [
{'id': 360018501198, 'value': '1234'},
{'id': 360023508598, 'value': 'Bob'},
{'id': 1900000084913, 'value': '2021-09-03'}
]
}
]
Desired Structure
[
{
"order_id": '5678',
"name": "Jim",
"date": '2021-09-03'
},
{
"order_id": '1234',
"name": "Bob",
"date": '2021-09-03'
},
]
So id values in the custom_field payload are known and I want to map them to enum representation and with the hope that the output payload contain saner k,v pairs.
The Code
I have only managed to do the mapping of the enum values.
if __name__ == "__main__":
class FieldEnum(enum.IntEnum):
ORDER_ID = 360018501198
DATE = 1900000084913
NAME = 360023508598
r_obj = [
{
'custom_fields': [
{'id': 360018501198, 'value': '5678'},
{'id': 360023508598, 'value': 'Jim'},
{'id': 1900000084913, 'value': '2021-09-03'}
]
},
{
'custom_fields': [
{'id': 360018501198, 'value': '1234'},
{'id': 360023508598, 'value': 'Bob'},
{'id': 1900000084913, 'value': '2021-09-03'}
]
}
]
for row in r_obj:
for field in row['custom_fields']:
if field['id']:
field['id'] = FieldEnum(field['id']).name.lower()
print(field)
Code Output
{'id': 'order_id', 'value': '5678'}
{'id': 'name', 'value': 'Jim'}
{'id': 'date', 'value': '2021-09-03'}
{'id': 'order_id', 'value': '1234'}
{'id': 'name', 'value': 'Bob'}
{'id': 'date', 'value': '2021-09-03'}
I am struggling with how best to group(?) each set of 3 dicts into its own list structure.
EDIT
As per #balderman, I have altered to this:
if __name__ == "__main__":
class FieldEnum(enum.IntEnum):
ORDER_ID = 360018501198
DATE = 1900000084913
NAME = 360023508598
r_obj = [
{
'custom_fields': [
{'id': 360018501198, 'value': '5678'},
{'id': 360023508598, 'value': 'Jim'},
{'id': 1900000084913, 'value': '2021-09-03'}
]
},
{
'custom_fields': [
{'id': 360018501198, 'value': '1234'},
{'id': 360023508598, 'value': 'Bob'},
{'id': 1900000084913, 'value': '2021-09-03'}
]
}
]
out = list()
for entry in r_obj:
out.append({})
for f in entry['custom_fields']:
out[-1][FieldEnum(f['id']).name.lower()] = f['value']
print(out)
Code Output
[
{
'order_id': '5678',
'name': 'Jim',
'date': '2021-09-03'
},
{
'order_id': '1234',
'name': 'Bob',
'date': '2021-09-03'
}
]
Which is the desired output.
I was wondering if there is another way syntactically to achieve the same output?
I would do it with a list comprehension to make it one-liner
code:
import enum
class FieldEnum(enum.IntEnum):
ORDER_ID = 360018501198
DATE = 1900000084913
NAME = 360023508598
r_obj = [
{
'custom_fields': [
{'id': 360018501198, 'value': '5678'},
{'id': 360023508598, 'value': 'Jim'},
{'id': 1900000084913, 'value': '2021-09-03'}
]
},
{
'custom_fields': [
{'id': 360018501198, 'value': '1234'},
{'id': 360023508598, 'value': 'Bob'},
{'id': 1900000084913, 'value': '2021-09-03'}
]
}
]
print([{FieldEnum(f['id']).name.lower():f['value'] for f in entry['custom_fields'] } for entry in r_obj])
result:
[
{"order_id": "5678", "name": "Jim", "date": "2021-09-03"},
{"order_id": "1234", "name": "Bob", "date": "2021-09-03"},
]
try the below
lookup = {360018501198: 'order_id', 360023508598: 'name', 1900000084913: 'date'}
data = [{
'custom_fields': [
{'id': 360018501198, 'value': '5678'},
{'id': 360023508598, 'value': 'Jim'},
{'id': 1900000084913, 'value': '2021-09-03'}
]
},
{
'custom_fields': [
{'id': 360018501198, 'value': '1234'},
{'id': 360023508598, 'value': 'Bob'},
{'id': 1900000084913, 'value': '2021-09-03'}
]
}
]
out = list()
for entry in data:
out.append({})
for f in entry['custom_fields']:
out[-1][lookup[f['id']]] = f['value']
print(out)
output
[{'order_id': '5678', 'name': 'Jim', 'date': '2021-09-03'}, {'order_id': '1234', 'name': 'Bob', 'date': '2021-09-03'}]
I have a data structure. It looks as follows:
data = [[{'id': '1', 'name': 'parent', 'steps': 0},
{'id': '2A', 'name': 'child', 'steps': 1},
{'id': '3A', 'name': 'grandChild-A', 'steps': 2}],
[{'id': '1', 'name': 'parent', 'steps': 0},
{'id': '2A', 'name': 'child', 'steps': 1},
{'id': '3B', 'name': 'grandChild-B', 'steps': 2}],
[{'id': '1', 'name': 'parent', 'steps': 0},
{'id': '2B', 'name': 'child', 'steps': 1},
{'id': '3A', 'name': 'grandChild-C', 'steps': 2}],
[{'id': '1', 'name': 'parent', 'steps': 0},
{'id': '2B', 'name': 'child', 'steps': 1},
{'id': '3B', 'name': 'grandChild-D', 'steps': 2}],
[{'id': '1', 'name': 'parent', 'steps': 0},
{'id': '2B', 'name': 'child', 'steps': 1},
{'id': '3C', 'name': 'grandChild-E', 'steps': 2},
{'id': '4A', 'name': 'final', 'steps': 3}
],
[{'id': '1', 'name': 'parent', 'steps': 0},
{'id': '2', 'name': 'child', 'steps': 1},
]
]
How my expected output is
expected output
output = {
"1" : {
"2A": {
"3A": "grandChild-A",
"3B": "grandChild-B"
},
"2B": {
"3A": "grandChild-C",
"3B": "grandChild-D",
"3C": {
"4A": "final"
}
},
"2":"child"
}
}
How can I do that? I wanted to use the enumerator, But I always everything inside 1.
Thanks in advance
Update:
I have tried the following code:
parent = data[0][0]["id"]
dict_new = {}
dict_new[parent] = {}
for e in data:
for idx, item in enumerate(e):
display(item)
if idx>0:
dict_new[parent][e[idx]["id"]] = e[idx]["name"]
You can try:
d = {}
root = d
for L in data:
d = root
for M in L[:-1]:
d = d.setdefault(M["id"], {})
d[L[-1]["id"]] = L[-1]['name']
The idea is to follow each list to build a tree (thus d.setdefault(M["id"], {}). The leaf is handled differently, because it has to be the value of 'name'.
from pprint import pprint
pprint(root)
Output:
{'1': {'2': 'child',
'2A': {'3A': 'grandChild-A', '3B': 'grandChild-B'},
'2B': {'3A': 'grandChild-C',
'3B': 'grandChild-D',
'3C': {'4A': 'final'}}}}
The solution above won't work for the following input:
data = [[{'id': '1', 'name': 'parent', 'steps': 0},
{'id': '2B', 'name': 'child', 'steps': 1}]],
[{'id': '1', 'name': 'parent', 'steps': 0},
{'id': '2B', 'name': 'child', 'steps': 1},
{'id': '3A', 'name': 'grandChild-C', 'steps': 2}]]
Iterating over the second list will try to add a new element 3A -> grandChild-C to the d['1']['2B'] dict. But d['1']['2B'] is not a dict but the 'child' string here, because of the first list.
When we iterate over the elements, we check if the key is already mapped and otherwise create a new dict (that's the setdefault job). We can also check if the key was mapped to a str, and if that's the case, replace the string by a fresh new dict:
...
for M in L[:-1]:
if M["id"] not in d or isinstance(d[M["id"]], str):
d[M["id"]] = {}
d = d[M["id"]]
...
Output:
{'1': {'2B': {'3A': 'grandChild-C'}}}
I fixed your data: (missing comma)
data = [[{'id': '1', 'name': 'parent', 'steps': 0},
{'id': '2A', 'name': 'child', 'steps': 1},
{'id': '3A', 'name': 'grandChild-A', 'steps': 2}],
[{'id': '1', 'name': 'parent', 'steps': 0},
{'id': '2A', 'name': 'child', 'steps': 1},
{'id': '3B', 'name': 'grandChild-B', 'steps': 2}],
[{'id': '1', 'name': 'parent', 'steps': 0},
{'id': '2B', 'name': 'child', 'steps': 1},
{'id': '3A', 'name': 'grandChild-C', 'steps': 2}],
[{'id': '1', 'name': 'parent', 'steps': 0},
{'id': '2B', 'name': 'child', 'steps': 1},
{'id': '3B', 'name': 'grandChild-D', 'steps': 2}],
[{'id': '1', 'name': 'parent', 'steps': 0},
{'id': '2B', 'name': 'child', 'steps': 1},
{'id': '3C', 'name': 'grandChild-E', 'steps': 2},
{'id': '4A', 'name': 'final', 'steps': 3}
],
[{'id': '1', 'name': 'parent', 'steps': 0},
{'id': '2', 'name': 'child', 'steps': 1},
]
]
And I came up with this code:
output = {}
#print(data)
for lis in data:
o = output
ln = len(lis) - 1
for idx,d in enumerate(lis):
id = d['id']
if idx == ln:
o[id] = d['name']
else:
if id not in o:
o[id] = {}
o = o[id]
print('Result:')
print(output)
I have list as follows:
data = [
{'items': [
{'key': u'3', 'id': 1, 'name': u'Typeplaatje'},
{'key': u'2', 'id': 2, 'name': u'Aanduiding van het chassisnummer '},
{'key': u'1', 'id': 3, 'name': u'Kilometerteller: Kilometerstand '},
{'key': u'5', 'id': 4, 'name': u'Inschrijvingsbewijs '},
{'key': u'4', 'id': 5, 'name': u'COC of gelijkvormigheidsattest '}
], 'id': 2, 'key': u'B', 'name': u'Onderdelen'},
{'items': [
{'key': u'10', 'id': 10, 'name': u'Koppeling'},
{'key': u'7', 'id': 11, 'name': u'Differentieel '},
{'key': u'9', 'id': 12, 'name': u'Cardanhoezen '},
{'key': u'8', 'id': 13, 'name': u'Uitlaat '},
{'key': u'6', 'id': 15, 'name': u'Batterij'}
], 'id': 2, 'key': u'B', 'name': u'Onderdelen'}
]
And I want to sort items by key.
Thus the wanted result is as follows:
res = [
{'items': [
{'key': u'1', 'id': 3, 'name': u'Kilometerteller: Kilometerstand '},
{'key': u'2', 'id': 2, 'name': u'Aanduiding van het chassisnummer '},
{'key': u'3', 'id': 1, 'name': u'Typeplaatje'},
{'key': u'4', 'id': 5, 'name': u'COC of gelijkvormigheidsattest '},
{'key': u'5', 'id': 4, 'name': u'Inschrijvingsbewijs '},
], 'id': 2, 'key': u'B', 'name': u'Onderdelen'},
{'items': [
{'key': u'6', 'id': 15, 'name': u'Batterij'},
{'key': u'7', 'id': 11, 'name': u'Differentieel '},
{'key': u'8', 'id': 13, 'name': u'Uitlaat '},
{'key': u'9', 'id': 12, 'name': u'Cardanhoezen '},
{'key': u'10', 'id': 10, 'name': u'Koppeling'}
], 'id': 2, 'key': u'B', 'name': u'Onderdelen'}
]
I've tried as follows:
res = []
for item in data:
new_data = {
'id': item['id'],
'key': item['key'],
'name': item['name'],
'items': sorted(item['items'], key=lambda k : k['key'])
}
res.append(new_data)
print(res)
The first is sorted fine, but the second one not.
What am I doing wrong and is there a better way of doing it?
Your sort is wrong in the second case because the keys are strings, and strings are sorted by their first character which is '1' if your key is '10'. A slight modification to your sorting function would do the trick:
'items': sorted(item['items'], key=lambda k : int(k['key'])
I'm doing an int because you want to sort them as if they are numbers. Here it is in your code:
res = []
for item in data:
new_data = {
'id': item['id'],
'key': item['key'],
'name': item['name'],
'items': sorted(item['items'], key=lambda k : int(k['key']) )
}
res.append(new_data)
print(res)
And here's the result:
[{'id': 2,
'items': [{'id': 3, 'key': '1', 'name': 'Kilometerteller: Kilometerstand '},
{'id': 2, 'key': '2', 'name': 'Aanduiding van het chassisnummer '},
{'id': 1, 'key': '3', 'name': 'Typeplaatje'},
{'id': 5, 'key': '4', 'name': 'COC of gelijkvormigheidsattest '},
{'id': 4, 'key': '5', 'name': 'Inschrijvingsbewijs '}],
'key': 'B',
'name': 'Onderdelen'},
{'id': 2,
'items': [{'id': 15, 'key': '6', 'name': 'Batterij'},
{'id': 11, 'key': '7', 'name': 'Differentieel '},
{'id': 13, 'key': '8', 'name': 'Uitlaat '},
{'id': 12, 'key': '9', 'name': 'Cardanhoezen '},
{'id': 10, 'key': '10', 'name': 'Koppeling'}],
'key': 'B',
'name': 'Onderdelen'}]
You need to replace the old items in the data with the sorted items based on key numerically instead of string sort. So use int(item['key']) in sort like,
>>> data
[{'items': [{'key': '1', 'id': 3, 'name': 'Kilometerteller: Kilometerstand '}, {'key': '2', 'id': 2, 'name': 'Aanduiding van het chassisnummer '}, {'key': '3', 'id': 1, 'name': 'Typeplaatje'}, {'key': '4', 'id': 5, 'name': 'COC of gelijkvormigheidsattest '}, {'key': '5', 'id': 4, 'name': 'Inschrijvingsbewijs '}], 'id': 2, 'key': 'B', 'name': 'Onderdelen'}, {'items': [{'key': '6', 'id': 15, 'name': 'Batterij'}, {'key': '7', 'id': 11, 'name': 'Differentieel '}, {'key': '8', 'id': 13, 'name': 'Uitlaat '}, {'key': '9', 'id': 12, 'name': 'Cardanhoezen '}, {'key': '10', 'id': 10, 'name': 'Koppeling'}], 'id': 2, 'key': 'B', 'name': 'Onderdelen'}]
>>>
>>> for item in data:
... item['items'] = sorted(item['items'], key=lambda x: int(x['key']))
...
>>> import pprint
>>> pprint.pprint(data)
[{'id': 2,
'items': [{'id': 3, 'key': '1', 'name': 'Kilometerteller: Kilometerstand '},
{'id': 2, 'key': '2', 'name': 'Aanduiding van het chassisnummer '},
{'id': 1, 'key': '3', 'name': 'Typeplaatje'},
{'id': 5, 'key': '4', 'name': 'COC of gelijkvormigheidsattest '},
{'id': 4, 'key': '5', 'name': 'Inschrijvingsbewijs '}],
'key': 'B',
'name': 'Onderdelen'},
{'id': 2,
'items': [{'id': 15, 'key': '6', 'name': 'Batterij'},
{'id': 11, 'key': '7', 'name': 'Differentieel '},
{'id': 13, 'key': '8', 'name': 'Uitlaat '},
{'id': 12, 'key': '9', 'name': 'Cardanhoezen '},
{'id': 10, 'key': '10', 'name': 'Koppeling'}],
'key': 'B',
'name': 'Onderdelen'}]
So list comes with a handy method called sort which sorts itself inplace. I'd use that to your advantage:
for d in data:
d['items'].sort(key=lambda x: int(x['key']))
Results:
[{'id': 2,
'items': [{'id': 3, 'key': '1', 'name': 'Kilometerteller: Kilometerstand '},
{'id': 2, 'key': '2', 'name': 'Aanduiding van het chassisnummer '},
{'id': 1, 'key': '3', 'name': 'Typeplaatje'},
{'id': 5, 'key': '4', 'name': 'COC of gelijkvormigheidsattest '},
{'id': 4, 'key': '5', 'name': 'Inschrijvingsbewijs '}],
'key': 'B',
'name': 'Onderdelen'},
{'id': 2,
'items': [{'id': 15, 'key': '6', 'name': 'Batterij'},
{'id': 11, 'key': '7', 'name': 'Differentieel '},
{'id': 13, 'key': '8', 'name': 'Uitlaat '},
{'id': 12, 'key': '9', 'name': 'Cardanhoezen '},
{'id': 10, 'key': '10', 'name': 'Koppeling'}],
'key': 'B',
'name': 'Onderdelen'}]
I am trying to convert the nested complex json into the dataframe this is my json format
There are multiple json rows like this i just have used here only one which is the id above now when i am trying to convert the dataframe i am getting the output like this
I further want to display the innings batsmen name stats runs
ballsFaced . I want to show the complete data into the dataframe.
{
'1164223': {
'fullSummaryLink': '/series/19014/scorecard/1164223/new-zealand-a-vs-india-a-1st-unofficial-odi-india-a-tour-of-nz-2018-19',
'innings': {
'1': {
'batsmen': [
{
'name': 'HD Rutherford',
'href': 'http://www.espncricinfo.com/ci/content/player/331375.html',
'stats': {
'runs': {
'name': 'runs',
'text': 'RUNS',
'value': '70'
},
'ballsFaced': {
'name': 'ballsFaced',
'text': 'BF',
'value': '66'
},
'notouts': {
'name': 'notouts',
'text': 'Not Out',
'value': '0'
}
}
},
{
'name': 'JDS Neesham',
'href': 'http://www.espncricinfo.com/ci/content/player/355269.html',
'stats': {
'runs': {
'name': 'runs',
'text': 'RUNS',
'value': '79'
},
'ballsFaced': {
'name': 'ballsFaced',
'text': 'BF',
'value': '48'
},
'notouts': {
'name': 'notouts',
'text': 'Not Out',
'value': '1'
}
}
}
],
'team': {
'teamDisplayName': 'NEW ZEALAND A',
'innDisplayName': 'INNINGS',
'runs': 308,
'overs': 50,
'wickets': 6,
'description': 'complete',
'inningsRunWicket': '308/6',
'inningStatus': ''
},
'bowlers': [
{
'name': 'S Kaul',
'href': 'http://www.espncricinfo.com/ci/content/player/326017.html',
'stats': {
'overs': {
'name': 'overs',
'text': 'O',
'value': '10'
},
'conceded': {
'name': 'conceded',
'text': 'R',
'value': '74'
},
'wickets': {
'name': 'wickets',
'text': 'E',
'value': '2'
}
}
},
{
'name': 'K Gowtham',
'href': 'http://www.espncricinfo.com/ci/content/player/424377.html',
'stats': {
'overs': {
'name': 'overs',
'text': 'O',
'value': '9'
},
'conceded': {
'name': 'conceded',
'text': 'R',
'value': '46'
},
'wickets': {
'name': 'wickets',
'text': 'E',
'value': '1'
}
}
}
]
},
'2': {
'bowlers': [
{
'name': 'HK Bennett',
'href': 'http://www.espncricinfo.com/ci/content/player/226493.html',
'stats': {
'overs': {
'name': 'overs',
'text': 'O',
'value': '10'
},
'conceded': {
'name': 'conceded',
'text': 'R',
'value': '65'
},
'wickets': {
'name': 'wickets',
'text': 'E',
'value': '2'
}
}
},
{
'name': 'LH Ferguson',
'href': 'http://www.espncricinfo.com/ci/content/player/493773.html',
'stats': {
'overs': {
'name': 'overs',
'text': 'O',
'value': '10'
},
'conceded': {
'name': 'conceded',
'text': 'R',
'value': '75'
},
'wickets': {
'name': 'wickets',
'text': 'E',
'value': '2'
}
}
}
],
'batsmen': [
{
'name': 'V Shankar',
'href': 'http://www.espncricinfo.com/ci/content/player/477021.html',
'stats': {
'runs': {
'name': 'runs',
'text': 'RUNS',
'value': '87'
},
'ballsFaced': {
'name': 'ballsFaced',
'text': 'BF',
'value': '80'
},
'notouts': {
'name': 'notouts',
'text': 'Not Out',
'value': '1'
}
}
},
{
'name': 'SS Iyer',
'href': 'http://www.espncricinfo.com/ci/content/player/642519.html',
'stats': {
'runs': {
'name': 'runs',
'text': 'RUNS',
'value': '54'
},
'ballsFaced': {
'name': 'ballsFaced',
'text': 'BF',
'value': '54'
},
'notouts': {
'name': 'notouts',
'text': 'Not Out',
'value': '0'
}
}
}
],
'team': {
'teamDisplayName': 'INDIA A',
'innDisplayName': 'INNINGS',
'runs': 311,
'overs': 49,
'wickets': 6,
'description': 'target reached',
'inningsRunWicket': '311/6',
'inningStatus': ''
}
}
},
'isAvailable': True
}
}
This is the output of my code which i have tried and i have given the image sample thats the output.. I am trying to make into simple format which i have not been able to do that .
this is my python code which converts the dictionary of json values into the pandas dataframe
df = pd.concat({k: pd.DataFrame(v) for k, v in scorecard_summary.items()})
df