Sometimes, we want to use the apply() function for a single column with Python Pandas.
In this article, we’ll look at how to use the apply() function for a single column with Python Pandas.
How to use the apply() function for a single column with Python Pandas?
To use the apply() function for a single column with Python Pandas, we can call apply with a lambda function.
For instance, we write
df['a'] = df['a'].apply(lambda x: x + 1)
to call apply on the column a on data frame df with a function that adds 1 to each entry in column a.
Then we assign the retuned values back to column a.
Conclusion
To use the apply() function for a single column with Python Pandas, we can call apply with a lambda function.
