Hello @David K, the reason why plotting datetime variables is slower than plotting numerical values is that datetime values are more complex and require additional processing. When a datetime variable is plotted, it needs to be converted to a numerical format that the plotting tool can understand. This conversion process can be time-consuming, especially if you have a large dataset.
In addition, assigning custom datatips can also slow down the plotting process, especially if you are assigning them to many objects in the same plot. This is because each datatip needs to be rendered separately, which can add up to a significant amount of time.
One way to speed up the process is to pre-compute the custom datatips and store them in an array before plotting. This way, you can avoid the overhead of assigning them to each object individually. You could also consider reducing the number of data points being plotted or using a lower resolution datetime format, such as hourly or daily instead of minute-by-minute, depending on your use case. This will reduce the overall amount of data that needs to be processed and plotted, and can significantly speed up the plotting process.
