![]() ![]() Let’s understand this by taking an example. 4 Answers Sorted by: 69 Here is one way to do this: > sorted (ems (), keylambda e: e 1 2) ('item2', 8, 2, 3), ('item1', 7, 1, 9), ('item3', 9, 3, 11) The key argument of the sorted function lets you derive a sorting key for each element of the list. In this article, we’ll learn how to sort them in a custom order. In the previous articles, we have discussed several ways of sorting dictionaries and lists of dictionaries. Or, as the Python interpreter reports: Traceback (most recent call last):Ĭsv_mapping_list.sort(key=lambda item: item.get("Age"))Ĭsv_mapping_list = sorted(csv_mapping_list, key=lambda item: item.get("Age"))Īs usual, I appreciate your support.Sorting list of dictionaries by custom order in Python Here, we have to specify the key parameter as dictionaries cannot be naturally sorted. ![]() csv_mapping_list.sort(key=lambda item: item.get("Age")) In the following snippet, we sort the list of dictionaries by age. Instead, we can use the builtin sort function for lists. Luckily for us, we don’t have to implement sorting by hand in Python. Pretty cool stuff! Sorting a List of Dictionaries With Sort Function However, be aware that this sort method is case sensitive. In other words, we create a tuple on the right side of the expression and unpack it on the left side of the expression. csvmappinglist):minindex):csvmappinglistminindex'Age'csvmappinglist'Age':minindex,csvmappinglistminindexcsvmappinglistminindex,csvmappinglisti 'Favorite Color' In both cases, the list will be sorted alphabetically as the values are strings. To accomplish the swap, we leverage tuple packing and unpacking. How to Sort a List of Dictionaries in Python: Sort and Sorted Written by Jeremy Grifski in Code Last Updated You may recall that I recently published an article on parsing a spreadsheet, and the output ended up being a list of dictionaries. Since looking into this topic, I’ve found that Python has a nice way of handling the variable swap in a single line of code: size = len(csv_mapping_list)Ĭsv_mapping_list, csv_mapping_list = csv_mapping_list, csv_mapping_listĬlearly, I didn’t pick that great of a variable name for the swap, but you get the idea. To do that, we leverage the “Age” field of each dictionary as seen in line 5. Here, we’ve sorted the list of dictionaries in place by age. If csv_mapping_list > csv_mapping_list:Ĭsv_mapping_list = csv_mapping_list Instead, we’ll leverage one of the more popular algorithms, selection sort: size = len(csv_mapping_list) Sorting is probably one of the most researched areas of Computer Science, so we won’t dive into the philosophy. It’s normal for me to share a brute force method followed by a couple more elegant methods, so take care to skip ahead if needed. Pass the specified key into the index () function, it will check the passed key is exist in the list and return the index position of the passed key. Then use the list.index () function to get the index position of the specified key in the dictionary. SolutionsĪs always, I like to share many possible solutions. First, using list () function you can convert the dictionary to a list of keys. ![]() Let’s understand this by taking an example. ![]() Today, I want to focus on sorting a list of dictionaries. Sort List of Dictionaries in Python (2 Examples) In this post you’ll learn how to sort a list of dictionaries in the Python programming language. Sorting list of dictionaries by custom order in Python In the previous articles, we have discussed several ways of sorting dictionaries and lists of dictionaries. In this article, we will discuss how we can create a list of dictionaries in python. Lists are used to store atomic objects while dictionaries store key-value pairs. In any case, we always have to start with data processing. How to Sort List of Dictionaries in Python Conclusion We use both lists and dictionaries in our python programs. For instance, maybe older individuals prefer certain colors, or perhaps younger individuals have certain types of names. That way we could plot them in order of increasing or decreasing age to see if we could spot any trends. In this case, we might want to order our data points by age. Likewise, order of the data might matter. In other words, we have our data, but we might want to use a subset of it. Of course, having the data in a nice format and actually using that data for visualization are very different problems. As mentioned before, I was working on parsing a CSV file for data visualization, and I ended up getting everything I wanted in the following format: csv_mapping_list = [ ![]()
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