Skip to content
Related Articles

Related Articles

Python – Extract Numerical Dictionary values
  • Last Updated : 04 May, 2020

Sometimes, while working with Python Dictionaries, we can have a problem in which we need to extract only if a particular key index is numeric value from the dictionaries which are in form of strings. This can be desired in applications in which we require to do preprocessing. Let’s discuss certain ways in which this task can be performed.

Input : test_dict = {‘best’: [‘5′, ’35’, ‘geeks’], ‘CS’: [1, 2, 3], ‘Gfg’: [‘124’, ‘4’, ‘8’]}
Output : [(‘5’, 1, ‘124’), (’35’, 2, ‘4’)]

Input : test_dict = {“Gfg” : [“4”], ‘best’ : [“6”], ‘CS’ : [1]}
Output : [(‘6’, 1, ‘4’)]

Method #1 : Using loop + zip() + isdigit()
The combination of above functions can be used to perform this task. In this, we check for numeric string using isdigit() and zip to perform the cumulation of keys.




# Python3 code to demonstrate working of 
# Extract Numerical Dictionary values
# Using loop + zip() + isdigit()
  
# initializing dictionary
test_dict = {"Gfg" : ["34", "45", 'geeks'], 'is' : ["875", None, "15"], 'best' : ["98", 'abc', '12k']}
  
# printing original dictionary
print("The original dictionary : " + str(test_dict))
  
# Extract Numerical Dictionary values
# Using loop + zip() + isdigit()
res = []
for a, b, c in zip(*test_dict.values()):
    if a.isdigit() :
        res.append((a, b, c))
      
# printing result 
print("The Numerical values : " + str(res)) 
Output :



The original dictionary : {‘Gfg’: [’34’, ’45’, ‘geeks’], ‘best’: [’98’, ‘abc’, ’12k’], ‘is’: [‘875′, None, ’15’]}
The Numerical values : [(’34’, ’98’, ‘875’), (’45’, ‘abc’, None)]

 

Method #2 : Using list comprehension + zip() + isdigit()
The combination of above functions can be used to solve this problem. In this, we perform similar task as above method but as a shorthand using list comprehension.




# Python3 code to demonstrate working of 
# Extract Numerical Dictionary values
# Using list comprehension + zip() + isdigit()
  
# initializing dictionary
test_dict = {"Gfg" : ["34", "45", 'geeks'], 'is' : ["875", None, "15"], 'best' : ["98", 'abc', '12k']}
  
# printing original dictionary
print("The original dictionary : " + str(test_dict))
  
# Extract Numerical Dictionary values
# Using list comprehension + zip() + isdigit()
res = [(a, b, c) for a, b, c in zip(*test_dict.values()) if a.isdigit()]
      
# printing result 
print("The Numerical values : " + str(res)) 
Output :

The original dictionary : {‘Gfg’: [’34’, ’45’, ‘geeks’], ‘best’: [’98’, ‘abc’, ’12k’], ‘is’: [‘875′, None, ’15’]}
The Numerical values : [(’34’, ’98’, ‘875’), (’45’, ‘abc’, None)]

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up
Recommended Articles
Page :