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 a column with a lambda function that adds 1 to each value in the column.

And then we assign the 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.