Category "dictionary"

Object-like attribute access for nested dictionary

I'm utilising a package which returns a nested dictionary. It feels awkward to access this return object in my class methods with the dictionary syntax, when ev

Does golang have the plan for supporting set datastructure?

This feature can be implemented with 'map'. countrySet := map[string]bool{ "US": true, "JP": true, "KR": true, } But to ease the eyes of readers, 'set'

How do I use the new computeIfAbsent function?

I very much want to use Map.computeIfAbsent but it has been too long since lambdas in undergrad. Almost directly from the docs: it gives an example of the ol

Trouble with output for Fantasy Game Inventory

I'm a beginner working on the Automate the boring stuff with Python book. I'm stuck on this practice problem. The instructions are as follows: List to Dictiona

Create dictionary from an array of objects using property of object as key for the dictionary?

With Swift is it possible to create a dictionary of [String:[Object]] from an array of objects [Object] using a property of those objects as the String key for

Iterator for custom class in Python 3

I'm trying to port a custom class from Python 2 to Python 3. I can't find the right syntax to port the iterator for the class. Here is a MVCE of the real class

How to create a dictionary of two pandas DataFrame columns

What is the most efficient way to organise the following pandas Dataframe: data = Position Letter 1 a 2 b 3 c 4 d 5

Converting cookie string into Python dict

In Fiddler, I captured an HTTPS request with the following cookie string sent from the client (visible in Inspectors > Raw): Cookie: devicePixelRatio=1; ide

Write optimized code which takes following two list of dictionaries as input and gives output as final_result [duplicate]

Inputs: list1 = [{'item_type':1,'value':55, 'title':'abc'},{'item_type':2,'value':43, 'title':'def'},{'item_type':3,'value':35, 'title':'ghi'}

Check if a value is in a list

Does Go have something similar to Python's in keyword? I want to check if a value is in a list. For example in Python: x = 'red' if x in ['red', 'green', 'ye

Overriding dict.update() method in subclass to prevent overwriting dict keys

Earlier today, I read the question "Raise error if python dict comprehension overwrites a key" and decided to try my hand at an answer. The method that natural

Sort dictionary of dictionaries by value

I have this dictionary: statuses = { 'pending' : {'status_for':'all', 'position':1}, 'cancelled' : {'status_for':'all','position':2},

How can I remove a key from a Python dictionary?

Is there a one-line way of deleting a key from a dictionary without raising a KeyError? if 'key' in my_dict: del my_dict['key']

Swift dictionary get key for value

I'm using a swift dictionary of type [UIImage:UIImage], and I'm trying to find a specific key for a given value. In Objective-C I could use allKeysForValue, bu

python check multi-level dict key existence

Many SO posts show you how to efficiently check the existence of a key in a dictionary, e.g., Check if a given key already exists in a dictionary How do I do t

Loop through all nested dictionary values?

for k, v in d.iteritems(): if type(v) is dict: for t, c in v.iteritems(): print "{0} : {1}".format(t, c) I'm trying to loop through a

3-Dimension List or Map

I need something like a 3-dimension (like a list or a map), which I fill with 2 Strings and an Integer within a loop. But, unfortunately I don't know which data

Is it possible to define function that creates an N-dimensional list of lists easily?

I have searched and found these questions: How to create a multi-dimensional list and N dimensional array in python which hint toward what I am looking for, but

Create Python DataFrame from dictionary where keys are the column names and values form the row

I am familiar with python but new to panda DataFrames. I have a dictionary like this: a={'b':100,'c':300} And I would like to convert it to a DataFrame, wher

Create Python DataFrame from dictionary where keys are the column names and values form the row

I am familiar with python but new to panda DataFrames. I have a dictionary like this: a={'b':100,'c':300} And I would like to convert it to a DataFrame, wher