If you’re working with a really large dictionary, and memory usage is a problem for you, then you can use a generator expression instead of a list comprehension. Every time the loop runs, key will store the key, and value will store the value of the item that is been processed. Here are SIX examples of using Pandas dataframe to filter rows or select rows based values of a column(s). Suppose you have a dictionary and for some reason need to turn keys into values and vice versa. {'color': 'blue', 'pet': 'dog', 'fruit': 'apple'}, {'fruit': 'apple', 'pet': 'dog', 'color': 'blue'}, {'color': 'blue', 'fruit': 'apple', 'pet': 'dog'}, ['__class__', '__contains__', '__delattr__', ... , '__iter__', ...], dict_items([('color', 'blue'), ('fruit', 'apple'), ('pet', 'dog')]), {'apple': 0.36, 'orange': 0.32, 'banana': 0.23}, # Python 3. dict.keys() returns a view object, not a list, {1: 'one', 2: 'two', 3: 'thee', 4: 'four'}, # If value satisfies the condition, then store it in new_dict, {'apple': 5600.0, 'banana': 5000.0, 'orange': 3500.0}, {'apple': 5600.0, 'orange': 3500.0, 'banana': 5000.0}, {'apple': 0.38, 'orange': 0.33, 'banana': 0.24}, ChainMap({'apple': 0.4, 'orange': 0.35}, {'pepper': 0.2, 'onion': 0.55}), # Define how many times you need to iterate through prices, {'pepper': 0.2, 'onion': 0.55, 'apple': 0.4, 'orange': 0.35}, # You can use this feature to iterate through multiple dictionaries, {'pepper': 0.25, 'onion': 0.55, 'apple': 0.4, 'orange': 0.35}, How to Iterate Through a Dictionary in Python: The Basics, Turning Keys Into Values and Vice Versa: Revisited, Using Some of Python’s Built-In Functions, Using the Dictionary Unpacking Operator (**), Get a sample chapter from Python Tricks: The Book, Python 3’s f-Strings: An Improved String Formatting Syntax (Guide), PEP 448 - Additional Unpacking Generalizations, Python Dictionary Iteration: Advanced Tips & Tricks, What dictionaries are, as well as some of their main features and implementation details, How to iterate through a dictionary in Python by using the basic tools the language offers, What kind of real-world tasks you can perform by iterating through a dictionary in Python, How to use some more advanced techniques and strategies to iterate through a dictionary in Python. Grabbers experience hyper professional growth and all the challenges that entails. Grabbers thrive in a corporate culture that values every team member's contribution towards our goal of improving lives. This is possible because sorted(incomes) returns a list of sorted keys that you can use to generate the new dictionary sorted_dict. If you really need to destructively iterate through a dictionary in Python, then .popitem() can be useful. Suppose, for example, that you have two lists of data, and you need to create a new dictionary from them. Let’s see how you can use some of them to iterate through a dictionary in Python. Nevada Carlin-type gold deposits (CTGD) have a combined endowment of more than 250 million ounces, which are concentrated (85 per cent) in only four trends or camps of deposits: Carlin, Cortez (Battle Mountain-Eureka), Getchell and Jerritt Canyon.