How do you add a new column in pandas?

In pandas, there are several methods that can be used to add a new column of data:

1. Add a new data column using the assignment operator (=). For example, if we have a DataFrame named df, we can add a column named new_column to df using the following code:
2. Create a new column in the dataframe called ‘new_column’ and assign it the values provided.
3. values a list, NumPy array, or pandas Series of the same length.
4. Add a new column to the DataFrame using the assign() method. Assign() method will return a new DataFrame containing the added column without modifying the original DataFrame. For example, add a new column named ‘new_column’ with the following code:
5. Create a new data frame by adding a column named ‘new_column’ with the specified values.
6. Values is a list, NumPy array, or pandas Series all with the same length.
7. Add a new column at a specified position using the insert() method. The insert() method allows you to insert a column of data at a specific position in a DataFrame. For example, use the following code to add a column named “new_column” at position 1:
8. Insert a new column at index position 1 in the dataframe with the specified values.
9. In this case, loc is the position to insert, column is the column name to insert, and value is the data to be inserted.

You can add one or more data columns to a DataFrame as needed, regardless of the method used.