Given Matrix, write a Python program to extract rows which only contains alphabets in its strings.
Examples:
Input : test_list = [[“gfg”, “is”, “best”], [“Geeks4Geeks”, “good”], [“Gfg is good”], [“love”, “gfg”]]
Output : [[‘gfg’, ‘is’, ‘best’], [‘love’, ‘gfg’]]
Explanation : All strings with just alphabets are extracted.
Input : test_list = [[“gfg”, “is”, “!best”], [“Geeks4Geeks”, “good”], [“Gfg is good”], [“love”, “gfg”]]
Output : [[‘love’, ‘gfg’]]
Explanation : All strings with just alphabets are extracted.
Method #1: Using isalpha() + all() + list comprehension
In this, we check for all the alphabets using isalpha() and all() is used to ensure all the strings contain just the alphabets. The list comprehension is used to iterate through rows.
Python3
# Python3 code to demonstrate working of # Filter rows with only Alphabets # Using isalpha() + all() + list comprehension # initializing list test_list = [["gfg", "is", "best"], ["Geeks4Geeks", "good"], ["Gfg is good"], ["love", "gfg"]] # printing original lists print("The original list is : " + str(test_list)) # all() checks for all strings to contain alphabets res = [sub for sub in test_list if all(ele.isalpha() for ele in sub)] # printing result print("Filtered Rows : " + str(res)) |
Output:
The original list is : [[‘gfg’, ‘is’, ‘best’], [‘Geeks4Geeks’, ‘good’], [‘Gfg is good’], [‘love’, ‘gfg’]]
Filtered Rows : [[‘gfg’, ‘is’, ‘best’], [‘love’, ‘gfg’]]
Method #2 : Using filter() + lambda + join() + isalpha()
In this, we concatenate each string using join() and test if its all alphabets using isalpha(), and add if the verdict returns true.
Python3
# Python3 code to demonstrate working of # Filter rows with only Alphabets # Using filter() + lambda + join() + isalpha() # initializing list test_list = [["gfg", "is", "best"], ["Geeks4Geeks", "good"], ["Gfg is good"], ["love", "gfg"]] # printing original lists print("The original list is : " + str(test_list)) # join() used to concatenate strings res = list(filter(lambda sub: ''.join( [ele for ele in sub]).isalpha(), test_list)) # printing result print("Filtered Rows : " + str(res)) |
Output:
The original list is : [[‘gfg’, ‘is’, ‘best’], [‘Geeks4Geeks’, ‘good’], [‘Gfg is good’], [‘love’, ‘gfg’]]
Filtered Rows : [[‘gfg’, ‘is’, ‘best’], [‘love’, ‘gfg’]]
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