To make sure you can comply with alongside, we’re utilizing pandas 2.2.0, which is the most recent model accessible on the time of writing this text.

You might be most likely already accustomed to performing aggregations in pandas utilizing strategies corresponding to sum or min. You have got additionally most likely used these strategies together with groupby. Due to this fact, it won’t come as a shock that the agg technique is used to carry out a number of aggregations on a DataFrame. What’s attention-grabbing is that we will use agg in a number of methods, relying on the syntax we use. Let’s illustrate this with some examples.

By passing a dictionary to the agg technique, we point out which aggregations (sum, imply, max, and so on.) we wish to calculate for every column of the DataFrame. The keys of the dictionary signify the columns on which we wish to carry out the aggregations, whereas the values signify the operations we wish to execute.