A grouped dataframe partitions rows by a shared value so each group can be processed separately. In a dashboard, grouping filtered sales rows by Day turns detailed records into one total per date. section 6.5.1
A typical pandas workflow is:
- Create groups with df.groupby('Day'). section 6.5.1
- Apply a function to each group, such as summing its Sales values. section 6.5.1
- Call reset_index() to return the grouping column as a regular dataframe column. section 6.5.1
Daily sales totals
For filtered California data, two rows on 2024-08-01—sales of 1500 and 1300—become one result with total Sales of 2800. The resulting Day and Value data can feed a time-series chart. section 6.5.1
