Write a Python code to filter palindrome names in a given dataframe

Result for printing palindrome names are −

Palindrome names are:    Id   Name 0   1   bob 2   3   hannah

To solve this, we will follow the below approaches −

Solution 1

• Define a dataframe

• Create list comprehension inside set for loop to access all the values from df[‘Name’] column using i variable and set if condition to compare i==i[::-1] then add i value to the list

l = [ i for i in df['Name'] if(i==i[::-1])]

• Finally, check the list values present in the df[‘Name’] column using isin()

df[df['Name'].isin(l)]

Example

Let’s check the following code to get a better understanding −

import pandas as pd data = {'Id':[1,2,3,4,5],'Name':['bob','peter','hannah','james','david']} df = pd.DataFrame(data) print("DataFrame is:\n", df) l = [ i for i in df['Name'] if(i==i[::-1])] print("Palindrome names are:\n", df[df['Name'].isin(l)])

Output

DataFrame is:    Id  Name 0   1  bob 1   2  peter 2   3  hannah 3   4  james 4   5  david Palindrome names are:   Id Name 0 1  bob 2 3  hannah

Solution 2

• Define a dataframe

• Apply lambda filter function to compare df[‘Name’] each values with reversed function returns same result or not. If the values are matched then store it as result list.

result = list(filter(lambda x:(x=="".join(reversed(x))),df['Name']

• Finally, check the list values present in the df[‘Name’] column using isin()

df[df['Name'].isin(result)]

Example

Let’s check the following code to get a better understanding −

import pandas as pd data = {'Id':[1,2,3,4,5],'Name':['bob','peter','hannah','james','david']} df = pd.DataFrame(data) print("DataFrame is:\n", df) result = list(filter(lambda x:(x=="".join(reversed(x))),df['Name'])) print("Palindrome names are:\n", df[df['Name'].isin(result)])

Output

DataFrame is:  Id Name 0 1 bob 1 2 peter 2 3 hannah 3 4 james 4 5 david Palindrome names are:   Id Name 0 1 bob 2 3 hannah