Category "dictionary"

Python: Creating nested dictionaries, using keys stored in a list

EDIT: I forgot to mention that there are other dictionaries and lists, and the solutions suggested so far work very well for my example, but not if I want to ad

Is there a neat way of converting lists into maps with the keys set to the elements of original collection and values set to an enum in java

Java newbie... I have a dictionary like so: electronictypeModelsMap = { "laptops" => ["macbook", "thinkpad", "yoga"], "desktops" => ["macmini", "imac", "o

Is there a simple way to compare two class objects for all items that are not none?

I am looking to compare two instances of the same class, but only the items for which both are not None. for instance, I will have a Bolt class, and one instanc

How to make a dictionary of dictionaries with same keys in a loop [duplicate]

Hello i'm new to python and i'm trying to make a dictionary that can contain multiple dictionaries (depending on how many the user wants) and

Python: Best way to check if a key value match exists between two dictionaries?

edit I have 2 list of dictionaries and I am trying to compare the value of a key in the dictionaries list_1 to see if it that value exists in the value of a dif

creating dictionaries from values in pandas columns with repeating values

Considering this sample dataframe: location emp 0 fac_1 emp1 1 fac_2 emp2 2 fac_2 emp3 3 fac_3 emp4 4 fac_4 emp5 It can be recreated by

Dictionary difference similar to set difference

I have a dictionary and a list: dictionary = {'a':1, 'b':2, 'c':3, 'd':4, 'e':5, 'f':6} remove = ['b', 'c', 'e'] I need to split "dictionary" into two dictiona

Is there an expiring map in Java that expires elements after a period of time since *first* insertion?

I tried looking at cache mechanisms, such as Guava's Cache. Their expiration is only since last update. What I'm looking for is a data structure that stores ke

CSV adding values to an existing column and calling from a dictionary (no pandas)

I need to add some additional values to an existing column for my CSV file. So this is what I have so far: Sample input CSV file: Alfa,Beta,Charlie,Delta,Echo,F

Plotting nested lists seperately, which are inside nested dictionaries

I have a list consisting of multiple nested dictionaries and nested lists MyList = [{dict0}, {dict1}, {dict2} ... {dict2422}] dict0 = {'type': 'Feature', 'geom

Adding new key values in a dictionary that was imported from an CSV file?

Sorry But I can't use pandas. I have a sample input csv file that looks like this: Alfa,Beta,Charlie,Delta,Echo,Foxtrot,Golf,Hotel,India,Juliett,Kilo A1,B1,C1,D

converting a string to dot notation to access value in nested list in python

items={ "fruits": { "summerFruits": { "Mangoes":5, "melo

How to create objects from a dict where the keys are the name objects and the values are the attributes? Using a loop

class Cars(object): def __init__(self,brand=None,color=None,cost=None): self.brand = brand self.color = color self.cost = cost ima

Dart: why is a list or map not equal to [] and {} respectively

void main() { var a = []; var b = []; print(a == []); print(a == b); var c = ['c']; print(c == ['c']); var d = 'd'; print(d == 'd'); } fa

Dart: why is a list or map not equal to [] and {} respectively

void main() { var a = []; var b = []; print(a == []); print(a == b); var c = ['c']; print(c == ['c']); var d = 'd'; print(d == 'd'); } fa

Convert a list of dict of [{str:int}, {str:int}, ... ] to a single dict of {str:int}

Given a data-structure like this: [{'a':1, 'b': 2}, {'c':3 }, {'a':4, 'c':9}, {'d':0}, {'d': 0, 'b':6}] The goal is to parse the data to produce: {'a': 2.5, 'b

I have used circle marker to show places on a world map in react. How to add popup on circle marker to shows up the location when circle is clicked?

I have used circle marker to show places on a world map in react. How to add popup on circle marker to show details when circle is clicked. Currently the code s

What are dictionary view objects?

In python 2.7, we got the dictionary view methods available. Now, I know the pro and cons of the following: dict.items() (and values, keys): returns a list, s

How to make the dataframe faster ? either by using dictionary or numpy?

I am new to data structures and I would like to make my code faster (this is just part of a bigger code). Using dataframes while looking up variables is slowing

How to create a Dataframe from multiple dictionaries

I have a little issue with my the data I have (multiple dictionaries) to process and create a Dataframe from them. This what the data look like: print(data) 0

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