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Pandas Demystified: Unveiling the Power of Data Manipulation

Pandas Demystified: Unveiling the Power of Data Manipulation

Grouping in PandasGrouping in Pandas

Grouping in pandas is the process of dividing a DataFrame into groups based on the values in one or more columns. You can then apply a function to each group to compute a summary statistic.

To group a DataFrame in pandas, you can use the .groupby() method. This method takes a column name or a list of column names and returns a groupby object, which you can then apply a function to.

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  1. Import numpy as np;
  2. Group your data by "DEPARTMENT_NAME" and finding out the mean;
  3. Group your data by "DEPARTMENT_NAME" and compute the mean, min, and max for "MANAGER_ID" for each group.

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Section 1. Chapter 5