Average of list in dictionary python
Python List Average MedianWhat’s the median of a Python list? Formally, the median is “the value separating the higher half from the lower half of a data sample” (wiki). Show How to calculate the median of a Python list?
Together, you can simply get the median by executing the expression median = sorted(income)[len(income)//2]. Here’s the concrete code example: income = [80000, 90000, 100000, 88000] average = sum(income) / len(income) median = sorted(income)[len(income)//2] print(average) # 89500.0 print(median) # 90000.0Related tutorials:
Python List Average MeanThe mean value is exactly the same as the average value: sum up all values in your sequence and divide by the length of the sequence. You can use either the calculation sum(list) / len(list) or you can import the statistics module and call mean(list). Here are both examples: lst = [1, 4, 2, 3] # method 1 average = sum(lst) / len(lst) print(average) # 2.5 # method 2 import statistics print(statistics.mean(lst)) # 2.5Both methods are equivalent. The statistics module has some more interesting variations of the mean() method (source):
These are especially interesting if you have two median values and you want to decide which one to take. Python List Average Standard DeviationStandard deviation is defined as the deviation of the data values from the average (wiki). It’s used to measure the dispersion of a data set. You can calculate the standard deviation of the values in the list by using the statistics module: import statistics as s lst = [1, 0, 4, 3] print(s.stdev(lst)) # 1.8257418583505538Python List Average Min MaxIn contrast to the average, there are Python built-in functions that calculate the minimum and maximum of a given list. The min(list) method calculates the minimum value and the max(list) method calculates the maximum value in a list. Here’s an example of the minimum, maximum and average computations on a Python list: import statistics as s lst = [1, 1, 2, 0] average = sum(lst) / len(lst) minimum = min(lst) maximum = max(lst) print(average) # 1.0 print(minimum) # 0 print(maximum) # 2Need some explaining, i don't really get average and dictionaries..I did “How is Everybody Doing?” - but I don’t really get the logic behind it O_o. lloyd = { "name": "Lloyd", "homework": [90, 97, 75, 92], "quizzes": [88, 40, 94], "tests": [75, 90] } def average(some): return sum(some)/len(some) def get_class_average(student): total=0 for x in student: total+=get_average(x) return total/len(student)So i use something like average(lloyd['homework']) and get the average score of Lloyds homework -that I understand: (sum of all homework elements)/by the number of elements. but could somebody explain how it works in for x in student: total+=get_average(x) return total/len(student)how does it take every students ‘name’, ‘homework’ etc (students=[lloyd, alice, tyler] get_class_average(students)) and make a single average score (and what does it do with ‘name’)? just don’t get it.. can somebody maybe explain it step by step? Python – Dictionary Values MeanGiven a dictionary, find mean of all the values present.
Method #1 : Using loop + len() This is brute way in which this task can be performed. In this, we loop through each value and perform summation and then the result is divided by total keys extracted using len(). Python3
Output
The original dictionary is : {'Gfg': 4, 'is': 7, 'Best': 8, 'for': 6, 'Geeks': 10}
The computed mean : 7.0
Method #2 : Using sum() + len() + values() The combination of above functions can be used to solve this problem. In this, we perform summation using sum() and size() of total keys computed using len(). Python3
Output
The original dictionary is : {'Gfg': 4, 'is': 7, 'Best': 8, 'for': 6, 'Geeks': 10}
The computed mean : 7.0
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dict.values() Syntax:In python, the dict class provides a member function to fetch all values from dictionary i.e. dict.values()Parameter:
Return Value: Advertisements
Let’s understand with some examples, Examples of dict.values() in python |