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Sometimes, while working with data, we can have a problem in which we need to gather information of average length of String data in list. This kind of information might be useful in Data Science domain. Let’s discuss certain ways in which this task can be performed. 

Method #1 : Using list comprehension + sum() + len() The combination of above functions can be used to perform this task. In this we compute lengths of all Strings using list comprehension and then divide the sum by length of list using len() and sum(). 

Python3

# Python3 code to demonstrate working of
# Average String lengths in list
# using list comprehension + sum() + len()
 
# initialize list
test_list = ['gfg', 'is', 'best', 'for', 'geeks']
 
# printing original list
print("The original list : " + str(test_list))
 
# Average String lengths in list
# using list comprehension + sum() + len()
temp = [len(ele) for ele in test_list]
res = 0 if len(temp) == 0 else (float(sum(temp)) / len(temp))
 
# printing result
print("The Average length of String in list is : " + str(res))

                    
Output : 
The original list : ['gfg', 'is', 'best', 'for', 'geeks']
The Average length of String in list is : 3.4

Time Complexity: O(n), where n is length of list.
Auxiliary Space: O(1)

Method #2 : Using map() + sum() + len() The combination of above functions can also be used to perform this task. In this, we compute lengths using map(). Rest all the logic is similar to above method. 

Python3

# Python3 code to demonstrate working of
# Average String lengths in list
# using map() + sum() + len()
 
# initialize list
test_list = ['gfg', 'is', 'best', 'for', 'geeks']
 
# printing original list
print("The original list : " + str(test_list))
 
# Average String lengths in list
# using map() + sum() + len()
res = sum(map(len, test_list))/float(len(test_list))
 
# printing result
print("The Average length of String in list is : " + str(res))

                    
Output : 
The original list : ['gfg', 'is', 'best', 'for', 'geeks']
The Average length of String in list is : 3.4

Time Complexity: O(n), where n is the length of the input list. This is because we’re using map() + sum() + len() which has a time complexity of O(n) in the worst case.
Auxiliary Space: O(1), as we’re using constant additional space.

Method #3 : Using len() and mean() method of statistics module

Python3

# Python3 code to demonstrate working of
# Average String lengths in list
import statistics
# initialize list
test_list = ['gfg', 'is', 'best', 'for', 'geeks']
 
# printing original list
print("The original list : " + str(test_list))
 
# Average String lengths in list
x=[]
for i in test_list:
    x.append(len(i))
res=statistics.mean(x)
# printing result
print("The Average length of String in list is : " + str(res))

                    

Output
The original list : ['gfg', 'is', 'best', 'for', 'geeks']
The Average length of String in list is : 3.4

Time complexity: O(n*n), where n is the length of the numbers list. The len() and mean() method of statistics module have a time complexity of O(n)
Auxiliary Space: O(1), constant space is required

Method #4 : Using reduce()

Python3

from functools import reduce
 
# Python3 code to demonstrate working of
# Average String lengths in list
# using reduce()
  
# initialize list
test_list = ['gfg', 'is', 'best', 'for', 'geeks']
  
# printing original list
print("The original list : " + str(test_list))
  
# Average String lengths in list
# using reduce()
res = reduce(lambda x, y: x + y, map(len, test_list))/len(test_list)
  
# printing result
print("The Average length of String in list is : " + str(res))
 
#this code is contributed by edula vinay kumar reddy

                    

Output
The original list : ['gfg', 'is', 'best', 'for', 'geeks']
The Average length of String in list is : 3.4

In this method, we first use map() to calculate the length of each string in the list. Then, we use reduce() function to get the sum of all lengths. Finally, we divide the sum by the length of the list to get the average length.

Time Complexity: O(n)
Auxiliary Space: O(1)

Method#5:Using list comprehension

Python3

# initialize list
test_list = ['gfg', 'is', 'best', 'for', 'geeks']
# calculate total length of all strings in the list
total_length = sum([len(string) for string in test_list])
 
# calculate average
average = total_length/len(test_list)
 
# print result
print("The Average length of String in list is : " + str(average))

                    

Output
The Average length of String in list is : 3.4

Time Complexity: O(n)
Auxiliary Space: O(1)

Method#6: Using For loop.

Python3

# initialize list
test_list = ['gfg', 'is', 'best', 'for', 'geeks']
total_length = 0
# calculate total length of all strings in the list using for loop
for string in test_list:
    total_length += len(string)
     
# calculate average
average = total_length/len(test_list)
 
# print result
print("The Average length of String in list is : " + str(average))
#this code contributed by tvsk

                    

Output
The Average length of String in list is : 3.4

Time Complexity: O(n)
Auxiliary Space: O(1)

Method#7: Using numpy: 

1. Import the numpy library as np.
2. Define a function named “avg_str_len” that takes a list of strings as input.
3. Within the function, use a list comprehension to create a list of the lengths of the strings in the input list.
4. Use the np.mean() function to compute the average of the list of string lengths.
5. Return the result of step 4 from the function.
6. Define a list of strings to test the function.
7. Call the avg_str_len function with the test list as an argument and store the result in a variable named “result”.
8. Print the original list of strings and the computed average length of the strings.

Python3

import numpy as np
def avg_str_len(lst):
    return np.mean([len(s) for s in lst])
test_list = ['gfg', 'is', 'best', 'for', 'geeks']
result = avg_str_len(test_list)
print("The original list:", test_list)
print("The average length of strings in the list:", result)
#This code is contributed by Jyothi pinjala.

                    

Output:

The original list: [‘gfg’, ‘is’, ‘best’, ‘for’, ‘geeks’]
The average length of strings in the list: 3.4

The time complexity :O(n), where n is the length of the input list of strings. This is because the code iterates through each string in the list exactly once to calculate its length, and then computes the average of these lengths using the numpy mean() function, which has a time complexity of O(n).

The space complexity :O(n), where n is the length of the input list of strings. This is because the list comprehension creates a new list of the same length as the input list to store the lengths of the strings, and this list is stored in memory until the numpy mean() function is called. The numpy mean() function creates a new scalar object to store the average length of the strings, which is returned by the function. Thus, the overall space complexity is also O(n).

Method#8:Using enumerate()

Algorithm:

  1. Initialize the input list test_list.
  2. Calculate the total length of all strings in the list using list comprehension and sum() function, and store the result in total_length.
  3. Calculate the average by dividing total_length by the length of test_list.
  4. Print the result using the print() function.

Python3

# initialize list
test_list = ['gfg', 'is', 'best', 'for', 'geeks']
total_length = 0
 
# calculate total length of all strings in the list
for i, string in enumerate(test_list):
    total_length += len(string)
 
# calculate average
average = total_length / len(test_list)
 
# print result
print("The Average length of String in list is : " + str(average))
#This code is contributed by Vinay Pinjala.

                    

Output
The Average length of String in list is : 3.4

Time Complexity:
The time complexity of this algorithm is O(n), where n is the number of strings in the input list. This is because the list comprehension and sum() functions iterate over each string in the list once, giving us a linear time complexity.

Auxiliary Space:
The space complexity of this algorithm is O(1), as we are only storing a constant number of variables (test_list, total_length, and average) in memory regardless of the size of the input list.

Method#8: Using pandas package

Note: first install the pandas package by using: pip install pandas

  • Convert the list of strings to a pandas Series.
  • Apply the str.len() method to get the length of each string.
  • Calculate the average using the mean() method.
     

Python3

import pandas as pd
 
# initialize list
test_list = ['gfg', 'is', 'best', 'for', 'geeks']
 
# calculating the average using pandas package
aver = pd.Series(test_list).apply(len).mean()
 
# print result
print("The Average length of String in list is : " + str(aver))

                    


Output

The Average length of String in list is : 3.4

Time Complexity: O(N) where N is the number of strings in the list.
Auxiliary Space: O(N) where N is the number of strings in the list.



Last Updated : 17 Apr, 2023
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