Assigning objects to dict with member as key

python dictionary of class objects
python dictionary of dictionaries
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python __dict__
add to dictionary python

I'm using a dict to ensure that I have only one copy of a Path in my system:

 for obj in obj_list:

Is there some more efficient way to do this that I'm missing?

Not really. This method will be slower than a linear search for smaller data sets, but will be much faster for larger data sets as testing for a duplicate entry is a hash table lookup.

The time complexity of your code is amortized O(n) (the best you can hope to achieve when you have to process every item in a data set), while doing a linear search is O(n2).

dict_from_class(), In this section we define a functions that gets a dictionary from a class. sorted(A​.__dict__.keys()) ['__dict__', '__doc__', '__module__', '__weakref__'] (However, -OO does not remove doc-strings produced explicitly, by assigning to  Append multiple key value pair in dictionary As update() accepts an iterable sequence of key value pairs, so we can pass a dictionary or list of tuples of new key value pairs to update().  It will all add the given key value pairs in the dictionary, if any key already exists then it will update its value.

Try obj in obj_list

like this 'a' in x

Using dictionaries to store data as key-value pairs, The dictionary stores objects as key-value pairs and can be used to represent a program to access any member of the collection using a key – which can be a For now, we can think of it as just a really convenient way to assign more than  Dictionary in Python is an unordered collection of data values, used to store data values like a map, which unlike other Data Types that hold only single value as an element, Dictionary holds key:value pair. While using Dictionary, sometimes, we need to add or modify the key/value inside the dictionary.

look at create-a-dictionary-with-list-comprehension-in-python

List comprehension is much faster - I assume this is meant by efficency.

Dictionaries in Python – Real Python, Defining a Dictionary; Accessing Dictionary Values; Dictionary Keys vs. called a dictionary, which is similar to a list in that it is a collection of objects. Adding an entry to an existing dictionary is simply a matter of assigning a new key and value: John is an avid Pythonista and a member of the Real Python tutorial team. Dictionary in Python is an unordered collection of data values, used to store data values like a map, which unlike other Data Types that hold only single value as an element, Dictionary holds key:value pair. Key value is provided in the dictionary to make it more optimized. Each key-value pair in a Dictionary is separated by a colon : , whereas

Python tricks: accessing dictionary items as object , Python tricks: accessing dictionary items as object attributes than adding a dozen wrapper methods (for items() , values() , keys() , __iter__()  This post will explain how to use dictionaries in Python. Use {} curly brackets to construct the dictionary, and [] square brackets to index it. Separate the key and value with colons : and with commas , between each pair. Keys must be quoted As with lists we can print out the dictionary by printing the reference to it.

How to use dictionaries in Python, A dictionary maps a set of objects (keys) to another set of objects (values) You can assign to an individual dictionary entry to add it or modify it The problem with this, however, is that this object doesn’t behave as a dictionary – if you want to use any of the dictionary methods, you need to access __dict__ directly (or use the dictionary that this object was created from). Another approach is to subclass dict and add attribute getter and setter methods:

Python - Dictionary, Python - Dictionary - Each key is separated from its value by a colon (:), the be any arbitrary Python object, either standard objects or user-defined objects. When duplicate keys encountered during assignment, the last assignment wins. Convert the DataFrame to a dictionary. The type of the key-value pairs can be customized with the parameters (see below). Determines the type of the values of the dictionary. ‘split’ : dict like {‘index’ -> [index], ‘columns’ -> [columns], ‘data’ -> [values]} Abbreviations are allowed. s indicates series and sp indicates split.