How to use Python Pandas to find the total number of count for more than one special characters present in each word in a given series?

Input − Assume you have a series,

0       fruits!!
1       *cakes*
2       $nuts
3       #drinks
dtype: object

Input − The result for the total number of counts for more than one special character in a series is 2.

Let us try to find different solutions to this question.

Solution 1

To solve this, we will follow the steps given below −

Define a Series
Create special characters list of values.
Set the initial value of special character and total special char count value as 0.
Create a for loop and access all the values in the Series one by one and create an if condition to compare the value based on special character as follows −

for i in data:
   chars_count = 0
   for j in list(i):
      if j in special_char:
         chars_count = chars_count+1

Set the if condition and check the count value. If count > 1, then print the total count.
It is defined below −

if(chars_count>1):
   total_count = total_count+1
      print(total_count)

Solution 2

Alternatively, we can use regular expression and lambda function filter method to find the total count.

To solve this, we will follow the steps given below −

Define a series
Apply lambda filter method to validate the input based on special char ().
Find the length is more than one. It is defined below −

l=["fruits!!","*cakes*","$nuts","#drinks"]
               data=pd.Series(filter(lambda
x:1<len(re.findall(r"\W",x)),l))

Example

Let us see the implementation to get a better understanding −

import pandas as pd
import string
l = ["Fruits!!","*Cakes*","$Nuts","#Drinks"]
data = pd.Series(l)
chars=string.punctuation
special_char=list(chars)
total_count = 0
for i in data:
   chars_count = 0
   for j in list(i):
      if j in special_char:
         chars_count = chars_count+1
   if(chars_count>1):
      total_count = total_count+1
print(total_count)

Solution 3

Example

import pandas as pd
import re
l=["fruits!!","*cakes*","$nuts","#drinks"]
data=pd.Series(filter(lambda x:1<len(re.findall(r"\W",x)),l))
print("count:",len(data))

Output

The output of the above program is as follows −