March 2020
Beginner to intermediate
352 pages
8h 40m
English
Content preview from Hands-On Exploratory Data Analysis with Python
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Data aggregation
Aggregation is the process of implementing any mathematical operation on a dataset or a subset of it. Aggregation is one of the many techniques in pandas that's used to manipulate the data in the dataframe for data analysis.
The Dataframe.aggregate() function is used to apply aggregation across one or more columns. Some of the most frequently used aggregations are as follows:
- sum: Returns the sum of the values for the requested axis
- min: Returns the minimum of the values for the requested axis
- max: Returns the maximum of the values for the requested axis
We can apply aggregation in a DataFrame, df, as df.aggregate() or df.agg().
Since aggregation only works with numeric type columns, let's take some of the numeric columns ...
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