How to fix SettingWithCopyWarning in Pandas?

What is the SettingWithCopyWarning in Pandas?

SettingWithCopyWarning is a warning that will be triggered when you copy data from one column to another. This can happen when copying from a column with a different type (string) to a column with a different type (numeric). In this case, pandas will try to convert your string from 1's and 0's into numbers and if that operation fails, it will throw an exception.

The SettingWithCopyWarning in Pandas is a feature that allows you to copy data between different objects within a DataFrame. This can be useful for keeping track of the changes made to your data, but it can also be dangerous if you don't know what you're doing.

The Problem

The SettingWithCopyWarning will stop you from performing certain operations such as:

Changing the name of columns in a DataFrame

Adding or removing columns from a DataFrame

Performing an operation that doesn't return new rows (such as slicing)

SettingWithCopyWarning is a warning that a setting has been duplicated in two different ways. This can happen when you have two different settings with the same name but with different values. If you have one value in your first definition, and another in your second definition, then Pandas will give you this warning.

Solution to fix SettingWithCopyWarning

The solution is to either change both of your settings names or delete one of them and create a new one with the correct name and value combination.

It's a warning that you're trying to change the value of a variable in parallel with another variable that might have the same name.

To get around this, you can use a list comprehension, which is like an if statement in Python.