Convert Integer Column To Boolean And Boolean To Integer in Pandas Dataframe

There are some small but important things that we keep on doing on a daily basis and then keep on forgetting. Here’s another one:

Steps:

1. Import Pandas
2. Load Data as a Pandas Dataframe
3. Convert an Integer column to Boolean Values
4. Convert a Boolean Column to Integer

# Import pandas package 
import pandas as pd

-> Load Data as Pandas Dataframe 

# Load Data 
df_data = pd.read_csv("Titanic_Original.csv")
df_data.info()

The “Survived” column seems to be the perfect candidate for this post. It is an Integer Column with two values 0 and 1. 

–> Convert an Integer column to Boolean Values
Let’s convert “Survived” column to a Boolean variable.

# Convert "Survived" column to Boolean
df_data.Survived = df_data.Survived.astype('bool')
df_data.dtypes

That’s it! Let’s check the data type now.

-> Convert Boolean to Integer
Now, let’s convert “Survived” column back to Integer. 

# Convert "Survived" column to Integer
df_data.Survived = df_data.Survived.astype('int') 
df_data.dtypes

And that’s all! There are some other ways to convert from boolean to Integer like using map() function or numpy library. But this one works too!

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