In today’s world, data manipulation and analysis have become a crucial part of various industries. One such task that often occurs is converting words to numbers in datasets. This article will discuss how Python’s powerful library, pandas, can be used to perform this task efficiently. We will explore the steps, code, and concepts involved in solving this problem, ensuring that you grasp the process and can implement it easily.
To begin with, let us understand the problem we aim to solve. Imagine you have a dataset with a column containing numbers written in words, such as “one,” “two,” “three,” and so on. Our goal is to convert these word numbers into their integer counterparts using Python and pandas.
Step 1: Importing the necessary libraries
To accomplish this task, we must first import the required libraries. In this case, we will be using the pandas library for handling and manipulating the data, and inflect for converting words to numbers.
import pandas as pd import inflect
pandas library
pandas is an open-source data manipulation and analysis library that provides data structures and functions required for handling structured data. It is built on top of the Python programming language and plays a significant role in data preprocessing, cleaning, and analyzing. Some of its main data structures include Series, DataFrame, and Index, which help in dealing with various data types and operations.
inflect library
inflect is a Python library that aids in computing plurals and singular nouns, ordinals, and converting numbers to words or words to numbers. In this article, we will focus on its ability to convert words to numbers. To use inflect, you will need to install it using the following command:
!pip install inflect
Step 2: Creating a pandas DataFrame
Now that we have imported the required libraries, let’s create a pandas DataFrame with a column containing numbers as words. This will serve as our sample dataset for illustration purposes.
data = {'Numbers_in_words': ['one', 'two', 'three', 'four', 'five']}
df = pd.DataFrame(data)
print(df)
Step 3: Converting words to numbers
Next, we will use the inflect library to convert the numbers in words to their integer counterparts. We will create a function called ‘convert_word_to_number’ that takes a word as input and returns the corresponding number.
def convert_word_to_number(word):
p = inflect.engine()
try:
return p.singular_noun(word)
except:
return None
df['Numbers'] = df['Numbers_in_words'].apply(convert_word_to_number)
print(df)
In this code snippet, we define a function that utilizes the inflect engine to convert words to numbers. We then use the pandas apply() method to apply this function to every element of the ‘Numbers_in_words’ column in the DataFrame.
To sum up, we have seen how Python, pandas, and inflect can be used to convert words to numbers in a dataset. Pandas serves as an essential tool for data manipulation, while the inflect library aids in operations involving words and numbers. By following these steps, you can easily convert word numbers to integers in your datasets and further analyze and manipulate your data. Happy coding!
