Final answer:
To get the difference between two pandas dataframes, ensure they have the same structure and use the subtraction operator or the subtract method. Align the dataframes if necessary to ensure proper subtraction.
Step-by-step explanation:
To find the difference between two dataframes in pandas, you'll want to use either the subtract method or simply the minus operation '-'. It's important to ensure that both dataframes have the same structure and column names for the operation to work correctly. Here's an example on how to proceed:
- First, make sure your dataframes, say df1 and df2, have the same columns.
- Then, subtract one dataframe from the other, like so: difference = df1 - df2.
- Alternatively, you can use the subtract method: difference = df1.subtract(df2, axis=0).
This will give you the difference between corresponding elements. If the dataframes have different indexes or columns, you might need to align them first. Note that the result will contain NaN for any elements that do not overlap unless you fill these gaps beforehand.