Questions tagged [dictionary]
A dictionary maps keys to values allowing efficient retrieval of values by keys. Use the [map-function] tag for mapping functions; use the [maps] tag for geography.
dictionary
92
questions
-1
votes
1
answer
23
views
TypeError: 'NoneType' object is not subscriptable while fetching information for rejected reason from jira [duplicate]
for issue in issues:
fields = issue['fields']
results.append({
'key': issue['key'],
'summary': fields['summary'],
'description': fields['description'],
'...
- 9
1
vote
2
answers
38
views
Python nested dictionary to Tree
I am trying to display my nested dictionary as a Tree.
data = {"L1" :
{"sub L1" :
"sub sub L1"},
"L2" :
"...
-1
votes
0
answers
28
views
Non destructive dictionary update in python [duplicate]
Is there a library function that implements a non-destructive dictionary update like
def update(d,key,val) :
d=d.copy()
d[key]=val
return d
0
votes
0
answers
30
views
Issue with tkinter (pyimage10) [closed]
This call back error. Im trying to call a menu from a separate script using a fuction. It seems like garbage collector is messing with the menu images.
Ive tried moving my images into a dictionary and ...
0
votes
1
answer
33
views
Using a str variable as a key for a map always returns null
I am trying to use a Map without success.
I have whittled it down to a bare-bones case:
I create a Map with four entries:
("fruit", 25)
("veg", 30)
("baked", 35)
("...
-1
votes
2
answers
42
views
Take a Python dictionary with values as lists and create a new list of dictionaries each with the initial key and list values
If I have a dictionary with list values:
users = {'first-name': ['Jim', 'John', 'Jane'], 'last-name': ['Boothe', 'Smith', 'Doe'], 'user': ['100', '101', '102']}
How can I create a new list of ...
0
votes
1
answer
84
views
Finding the longest Dictionary.Key match in a phrase
I have a SortedDictionary<string, string>, ordered by key length descending, of the form:
red fox - address1
weasel - address2
foxes - address3
fox - address3
etc.
and a list of phrases e.g.
&...
- 33
1
vote
1
answer
49
views
Update values in a dictionary based on changes made to another dictionary
I would like to know if there is a way to automatically update the value in a dictionary based on changes made to values in another dictionary.
I have 2 dictionaries as follows:
enum ...
- 192
0
votes
0
answers
12
views
json.dump() adding backslash when double quotes are added in python dictionary
I'm reading data from excel have say proxid as field which contains Multi-values ie.
proxid --> ABC-123,PQR-456 (data seperated from comma)
My task is to read the data and convert this data in ...
- 11
0
votes
0
answers
22
views
Swift convert nested dictionary to protobuf
I am new to Protobuf.
Is possible to convert nested dictionary in swift of type [String: Any?] with swift protobuf?
How should I define it in a proto file?
- 9
4
votes
3
answers
94
views
Partial exists in dictionary
I m looking for a way to check if a value included in a dictionary, Excel - VBA. However, simple dict.Exists("") is not the right approach in this situation because the searching value with ...
- 8,158
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0
answers
11
views
why my whole dictionary 1 values change when get a new value [duplicate]
I wrote a code to catch values in a dictionary as another dictionary value but when I run the code second values over write on pervious value.
I wrote this code:
dict1={}
dict2={}
for i in ['A','B']:
...
-7
votes
0
answers
47
views
Adding items in python dictionary [closed]
student_scores = {
"Harry": 81,
"Ron": 78,
"Hermione": 99,
"Draco": 74,
"Neville": 62,
}
student_grades = {}
for student in ...
- 1
-8
votes
0
answers
45
views
Python. How to parse indented text to dicts?
I have this text from the log. How to convert it to a dictionary? The ultimate goal is that ITEMs that contain a date do not need to be converted (item[3,4]).
CodAnsw = 12
IdentAnsw = 1
Data:
...
- 1
1
vote
2
answers
54
views
Pandas Map Dictionary with Multiple Values to Dataframe
I have the following dataframe:
data = [['BALANCED', 'Corp EUR'], ['YIELD', 'Corp USD'], ['GROWTH', 'HG CHF']]
df = pd.DataFrame(data, columns=['STRATEGY', 'ASSET_CLASS']
df
STRATEGY ...
- 173