Web Reference: From pandas 1.1 you can easily do this with a single function call - df.compare. Note: for compare to work the dataframes need to be IDENTICALLY shaped. So if you're trying to find out if a row has been added or removed you're out of luck. DataFrame that shows the differences stacked side by side. The resulting index will be a MultiIndex with ‘self’ and ‘other’ stacked alternately at the inner level. Jul 23, 2025 · A DataFrame is a 2D structure composed of rows and columns, and where data is stored into a tubular form. It is mutable in terms of size, and heterogeneous tabular data.
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