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Count number of words per row

Given a pandas dataframe, we have to count number of words per row.
Submitted by Pranit Sharma, on December 09, 2022

Pandas is a special tool that allows us to perform complex manipulations of data effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of DataFrame. DataFrames are 2-dimensional data structures in pandas. DataFrames consist of rows, columns, and data.

The string is a group of characters, these characters may consist of all the lower case, upper case, and special characters present on the keyboard of a computer system. A string is a data type and the number of characters in a string is known as the length of the string.

Problem statement

Suppose we are given the data frame with some columns of string type and we need to create a new column in this dataframe that contains the word count for the respective row. We need to total the number of words and not the frequencies of each word.

Counting number of words per row

For this purpose, we will use a very simple approach to count the words. We know that it a sentence has a +1 number of white spaces then words. Hence, we will count all the white spaces using the count method and add 1 to it.

Let us understand with the help of an example,

Python program to count number of words per row

# Importing pandas
import pandas as pd

# Creating a dictionary
d = {'A':['Ram is a good boy','India is my country','This is a tutorial of includehelp']}

# Creating a dataframe
df = pd.DataFrame(d)

# Display original DataFrame
print("Original DataFrame:\n",df,"\n")

# Counting words
res = df['A'].str.count(' ') + 1

# Display result
print("Result:\n",res,"\n")

Output

The output of the above program is:

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