elements = {'hydrogen': {'number': 1, 'weight': 1.00794, 'symbol': 'H'},
'helium': {'number': 2, 'weight': 4.002602, 'symbol': 'He'}}
Add an is_noble_gas boolean entry to the hydrogen and helium dictionaries.
You should access the dictionary and add is_noble_gas as a new key to the dictionary as follows.
>>> elements['hydrogen']['is_noble_gas'] = False
>>> elements['helium']['is_noble_gas'] = True
elements = {'hydrogen': {'number': 1, 'weight': 1.00794, 'symbol': 'H'}, 'helium': {'number': 2, 'weight': 4.002602, 'symbol': 'He'}}
noble_dict = { "hydrogen": False, "helium": True }
for noble in noble_dict:
elements[ noble ][ "is_noble_gas" ] = noble_dict[ noble ]
{'helium': {'symbol': 'He', 'number': 2, 'weight': 4.002602, 'is_noble_gas': True}, 'hydrogen': {'symbol': 'H', 'number': 1, 'weight': 1.00794, 'is_noble_gas': False}}
elements['hydrogen']['is_noble_gas'] = False
elements['hydrogen']['is_noble_gas'] = True
Related
I have a list of pairs of nested dict dd and would like to maintain the structure to a list of dictionaries:
dd = [
[{'id': 'bla',
'detail': [{'name': 'discard', 'amount': '123'},
{'name': 'KEEP_PAIR_1A', 'amount': '2'}]},
{'id': 'bla2',
'detail': [{'name': 'discard', 'amount': '123'},
{'name': 'KEEP_PAIR_1B', 'amount': '1'}]}
],
[{'id': 'bla3',
'detail': [{'name': 'discard', 'amount': '123'},
{'name': 'KEEP_PAIR_2A', 'amount': '3'}]},
{'id': 'bla4',
'detail': [{'name': 'discard', 'amount': '123'},
{'name': 'KEEP_PAIR_2B', 'amount': '4'}]}
]
]
I want to reduce this to a list of paired dictionaries while extracting only some detail. For example, an expected output may look like this:
[{'name': ['KEEP_PAIR_1A', 'KEEP_PAIR_1B'], 'amount': [2, 1]},
{'name': ['KEEP_PAIR_2A', 'KEEP_PAIR_2B'], 'amount': [3, 4]}]
I have run my code:
pair=[]
for all_pairs in dd:
for output_pairs in all_pairs:
for d in output_pairs.get('detail'):
if d['name'] != 'discard':
pair.append(d)
output_pair = {
k: [d.get(k) for d in pair]
for k in set().union(*pair)
}
But it didn't maintain that structure :
{'name': ['KEEP_PAIR_1A', 'KEEP_PAIR_1B', 'KEEP_PAIR_2A', 'KEEP_PAIR_2B'],
'amount': ['2', '1', '3', '4']}
I assume I would need to use some list comprehension to solve this but where in the for loop should I do that to maintain the structure.
Since you want to combine dictionaries in lists, one option is to use dict.setdefault:
pair = []
for all_pairs in dd:
dct = {}
for output_pairs in all_pairs:
for d in output_pairs.get('detail'):
if d['name'] != 'discard':
for k,v in d.items():
dct.setdefault(k, []).append(v)
pair.append(dct)
Output:
[{'name': ['KEEP_PAIR_1A', 'KEEP_PAIR_1B'], 'amount': [2, 1]},
{'name': ['KEEP_PAIR_2A', 'KEEP_PAIR_2B'], 'amount': [3, 4]}]
i have nested dictionary with upto 300 items from TYPE1 TO TYPE300 called mainlookup
mainlookup = {'TYPE1': [{'Song': 'Rock', 'Type': 'Hard', 'Price': '10'}],
'TYPE2': [{'Song': 'Jazz', 'Type': 'Slow', 'Price': '5'}],
'TYPE37': [{'Song': 'Country', 'Type': 'Fast', 'Price': '7'}]}
input list to search in lookup based on string TYPE1, TYPE2 and so one
input_list = ['thissong-fav-user:type1-chan-44-John',
'thissong-fav-user:type1-chan-45-kelly-md',
'thissong-fav-user:type2-rock-45-usa',
'thissong-fav-user:type737-chan-45-patrick-md',
'thissong-fav-user:type37-chan-45-kelly-md']
i want to find the string TYPE IN input_list and then create a dictionary as shown below
Output_Desired = {'thissong-fav-user:type1-chan-44-John': [{'Song': 'Rock', 'Type': 'Hard',
'Price':'10'}],
'thissong-fav-user:type1-chan-45-kelly-md': [{'Song': 'Rock', 'Type': 'Hard', 'Price': '10'}],
'thissong-fav-user:type2-rock-45-usa': [{'Song': 'Jazz', 'Type': 'Slow', 'Price': '5'}],
'thissong-fav-user:type37-chan-45-kelly-md': [{'Song': 'Country', 'Type': 'Fast', 'Price': '7'}]}
Note-thissong-fav-user:type737-chan-45-patrick-md in the list has no match so i want to create a
seperate list if value is not found in main lookup
Notfound_list = ['thissong-fav-user:type737-chan-45-patrick-md', and so on..]
Appreciate your help.
You can try this:
mainlookup = {'TYPE1': [{'Song': 'Rock', 'Type': 'Hard', 'Price': '10'}],
'TYPE2': [{'Song': 'Jazz', 'Type': 'Slow', 'Price': '5'}], 'TYPE37': [{'Song': 'Country', 'Type': 'Fast', 'Price': '7'}]}
input_list = ['thissong-fav-user:type1-chan-44-John',
'thissong-fav-user:type1-chan-45-kelly-md', 'thissong-fav-user:type737-chan-45-kelly-md']
dct={i:mainlookup[i.split(':')[1].split('-')[0].upper()] for i in input_list if i.split(':')[1].split('-')[0].upper() in mainlookup.keys()}
Notfoundlist=[i for i in input_list if i not in dct.keys() ]
print(dct)
print(Notfoundlist)
Output:
{'thissong-fav-user:type1-chan-44-John': [{'Song': 'Rock', 'Type': 'Hard', 'Price': '10'}], 'thissong-fav-user:type1-chan-45-kelly-md': [{'Song': 'Rock', 'Type': 'Hard', 'Price': '10'}]}
['thissong-fav-user:type737-chan-45-kelly-md']
An answer using regular expressions:
import re
from pprint import pprint
input_list = ['thissong-fav-user:type1-chan-44-John', 'thissong-fav-user:type1-chan-45-kelly-md', 'thissong-fav-user:type2-rock-45-usa', 'thissong-fav-user:type737-chan-45-patrick-md', 'thissong-fav-user:type37-chan-45-kelly-md']
mainlookup = {'TYPE2': {'Song': 'Reggaeton', 'Type': 'Hard', 'Price': '30'}, 'TYPE1': {'Song': 'Rock', 'Type': 'Hard', 'Price': '10'}, 'TYPE737': {'Song': 'Jazz', 'Type': 'Hard', 'Price': '99'}, 'TYPE37': {'Song': 'Rock', 'Type': 'Soft', 'Price': '1'}}
pattern = re.compile('type[0-9]+')
matches = [re.search(pattern, x).group(0) for x in input_list]
result = {x: [mainlookup[matches[i].upper()]] for i, x in enumerate(input_list)}
pprint(result)
Output:
{'thissong-fav-user:type1-chan-44-John': [{'Price': '10',
'Song': 'Rock',
'Type': 'Hard'}],
'thissong-fav-user:type1-chan-45-kelly-md': [{'Price': '10',
'Song': 'Rock',
'Type': 'Hard'}],
'thissong-fav-user:type2-rock-45-usa': [{'Price': '30',
'Song': 'Reggaeton',
'Type': 'Hard'}],
'thissong-fav-user:type37-chan-45-kelly-md': [{'Price': '1',
'Song': 'Rock',
'Type': 'Soft'}],
'thissong-fav-user:type737-chan-45-patrick-md': [{'Price': '99',
'Song': 'Jazz',
'Type': 'Hard'}]}
I have below List:
dimensionList = [{'key': 2109290, 'id': 'R', 'name': 'Reporter', 'isGeo': True, 'geoType': 'region'},
{'key': 2109300, 'id': 'C', 'name': 'Commodity', 'isGeo': False, 'geoType': None},
{'key': 2109310, 'id': 'P', 'name': 'Partner', 'isGeo': True, 'geoType': 'region'},
{'key': 2109320, 'id': 'TF', 'name': 'Trade Flow', 'isGeo': False, 'geoType': None},
{'key': 2109330, 'id': 'I', 'name': 'Measure', 'isGeo': False, 'geoType': None}]
I want to create dictionary from this list
Need Values of 'id' as Id of dictionary & 'name' as Values of dictionary
Expected Results:-
ResultsDict = {'R':'Reporter', 'C':'Commodity', 'P':'Partner', 'TF':'Trade Flow', 'I':'Measure'}
Use dict comprehension:
d = {x['id']:x['name'] for x in dimensionList}
print (d)
{'R': 'Reporter', 'C': 'Commodity', 'P': 'Partner', 'TF': 'Trade Flow', 'I': 'Measure'}
You need to loop through the list of dictionaries, pulling out the bits you want and adding them to your new dictionary.
ResultsDict = {}
for dict_item in dimensionList:
id = dict_item ['id']
name = dict_item ['name']
ResultsDict[id] = name
print(ResultsDict)
I have a list of Dictionaries in which airbnb[0] is
{
'room_id': '1133718',
'survey_id': '1280',
'host_id': '6219420',
'room_type': 'Shared room',
'country': '',
'city': 'Singapore',
'borough': '',
'neighborhood': 'MK03',
'reviews': 9.0,
'overall_satisfaction': 4.5,
'accommodates': '12',
'bedrooms': '1.0',
'bathrooms': '',
'price': 74.0,
'minstay': '',
'last_modified': '2017-05-17 09:10:25.431659',
'latitude': 1.293354,
'longitude': 103.769226,
'location': '0101000020E6100000E84EB0FF3AF159409C69C2F693B1F43F'
}
how do I go about it if I want to get a list consisting of only the room_id Value and the price for each dictionary in my list of dictionaries so that I can compile those lists in my new_list?
Not sure if this is what you're after but you can make a dictionary where the key is the room_id and the value the price for each property like so:
room_prices = { room['room_id'] : room['price'] for room in airbnb }
Then you access the price for a given room like so:
room_id = '1133718'
room_price = room_prices[room_id]
If you want them as tuples:
new_list = [(x['room_id'], x['price']) for x in airbnb]
# returns
[('1133718', 74.0)]
or a dict:
new_list = [{'room_id': x['room_id'], 'price': x['price']} for x in airbnb]
# returns
[{'room_id': '1133718', 'price': 74.0}]
A list comprehension selecting target keys in your list of dictionaries should do the job, assuming your list contains multiple dictionaries.
room_info =[{
'room_id': '1133718',
'survey_id': '1280',
'host_id': '6219420',
'room_type': 'Shared room',
'country': '',
'city': 'Singapore',
'borough': '',
'neighborhood': 'MK03',
'reviews': 9.0,
'overall_satisfaction': 4.5,
'accommodates': '12',
'bedrooms': '1.0',
'bathrooms': '',
'price': 74.0,
'minstay': '',
'last_modified': '2017-05-17 09:10:25.431659',
'latitude': 1.293354,
'longitude': 103.769226,
'location': '0101000020E6100000E84EB0FF3AF159409C69C2F693B1F43F'
},
{
'room_id': '1133718',
'survey_id': '1280',
'host_id': '6219420',
'room_type': 'Shared room',
'country': '',
'city': 'Singapore',
'borough': '',
'neighborhood': 'MK03',
'reviews': 9.0,
'overall_satisfaction': 4.5,
'accommodates': '12',
'bedrooms': '1.0',
'bathrooms': '',
'price': 74.0,
'minstay': '',
'last_modified': '2017-05-17 09:10:25.431659',
'latitude': 1.293354,
'longitude': 103.769226,
'location': '0101000020E6100000E84EB0FF3AF159409C69C2F693B1F43F'
}]
[[i['room_id'],i['price']] for i in room_info]
>>[['1133718', 74.0], ['1133718', 74.0]]
The result will return a nested list where each individual list contains the room_id and price detail.
It's easy to extract one element of the dict into a new list:
room_ids = [item.get('room_id') for item in airbnb]
Do that for all interesting ones and generate a new list of dicts, if you don't want separate lists. Or you can do all that in one loop
newlist = [{'room_id': item.get('room_id'), 'price': item.get('price')} for item in airbnb]
EDIT: Or a bit more verbose but more general:
mylist = [{'a': 1, 'b':2, 'c':1}, {'a': 2, 'b': 2, 'c':1}, {'a': 5, 'b': 2, 'c':1}, {'b': 5}]
interesting_keys = ['a', 'b']
newlist = []
for item in mylist:
d = dict()
for i in interesting_keys:
d[i] = item.get(i)
newlist.append(d)
print(nl)
will output:
[{'a': 1, 'b': 2}, {'a': 2, 'b': 2}, {'a': 5, 'b': 2}, {'a': None, 'b': 5}]
class Weightcheck:
def bag_products(self,product_list):
bag_list = []
non_bag_items = []
MAX_BAG_WEIGHT = 5.0
for product in product_list:
if float(product['weight']) > MAX_BAG_WEIGHT:
product_list.remove(product)
non_bag_items.append(product)
and argument product_list is like
product_list = {'barcode': [123, 456], 'Name': ['Milk, 2 Litres', 'Bread'], 'Price': ['2', '3.5'], 'weight': ['2', '0.6']}
if the passed arugument is like
product_list = [{'name': 'Milk', 'price': 2.0, 'weight': 2.0},
{'name': 'LowfatMilk', 'price': 2.0, 'weight': 2.0},
{'name': 'HighfatMilk', 'price': 2.0, 'weight': 2.0},
{'name': 'Bread', 'price': 2.0, 'weight': 7.0}]
then it works properly. i mean list of dictionary. please help how can i solve this
This is not the best way but you can use something like this:
final_list = []
for i in range(len(product_in_basket['Name'])):
item ={} # each new item
for k,v in product_in_basket.items():
item[k]= v[i] # filling that item with specific index
final_list.append(item) # append to final list
> final_list
[
{'Name': 'Milk, 2 Litres', 'Price': '2', 'barcode': 123, 'weight': '2.0'},
{'Name': 'Bread', 'Price': '3.5', 'barcode': 456, 'weight': '0.6'}
]
Here's a one-liner that does the trick:
product_list = [dict(zip(product_in_basket,t)) for t in zip(*product_in_basket.values())]
print(product_list)
Output:
[{'Name': 'Milk, 2 Litres', 'Price': '2', 'barcode': 123, 'weight': '2.0'}, {'Name': 'Bread', 'Price': '3.5', 'barcode': 456, 'weight': '0.6'}]
In general, it's better to not use a library when plain Python will do, but I thought a solution using pandas might be interesting:
import pandas as pd
product_in_basket = {'barcode': [123, 456], 'Name': ['Milk, 2 Litres', 'Bread'],
'Price': ['2', '3.5'], 'weight': ['2.0', '0.6']}
df = pd.DataFrame(product_in_basket)
output = list(df.T.to_dict().values())
print(output)
Output:
[{'Name': 'Milk, 2 Litres', 'Price': '2', 'barcode': 123, 'weight': '2.0'},
{'Name': 'Bread', 'Price': '3.5', 'barcode': 456, 'weight': '0.6'}]