How can I reproduce a visualization like this in Python with the given example dataset? Which module can I use?
+---------+-----------------------+-----------------------+----------------------------------+
| Case_ID | Timestamp_from | Timestamp_to | Activity |
+---------+-----------------------+-----------------------+----------------------------------+
| Case 1 | 7/11/2022 9:22:23 AM | 7/11/2022 11:24:15 AM | Create Purchase requisition Item |
| Case 1 | 7/11/2022 11:24:15 AM | 7/11/2022 11:28:55 AM | Create Purchase Order Item |
| Case 1 | 7/11/2022 11:28:55 AM | 7/25/2022 9:41:28 AM | Send Purchase Order |
| Case 1 | 7/25/2022 9:41:28 AM | 7/25/2022 10:15:10 AM | Changed Price |
| Case 1 | 7/25/2022 10:15:10 AM | | Send Purchase Order |
| Case 2 | 8/1/2022 4:04:13 PM | 8/1/2022 6:55:11 PM | Create Purchase requisition Item |
| Case 2 | 8/1/2022 6:55:11 PM | 8/1/2022 7:05:39 PM | Create Purchase Order Item |
| Case 2 | 8/1/2022 7:05:39 PM | 8/1/2022 8:49:35 PM | Record Goods Receipt |
| Case 2 | 8/1/2022 8:49:35 PM | 8/5/2022 6:52:19 PM | Record Invoice Receipt |
| Case 2 | 8/5/2022 6:52:19 PM | | Invoice Paied |
+---------+-----------------------+-----------------------+----------------------------------+
Looking over Google I found many Python libraries to create data visualizations, but nothing related to the mapping of process mining activities. Any suggestion?
