I am working with sets of 6-band imagery and I am so far able to load custom datasets as numpy arrays into a pg.ImageView window and use the built-in ROI tools to evaluate each band in a "timeline" of 6 images. I would like to customize the ImageView window in the following ways:
1. real-time readout of numeric values based on cursor position on each image in the timeline (e.g. 6 numeric values above the image that update as the cursor moves around the image) 2. custom ROI plot as a static bar & whiskers plot item displaying mean, min, max, 75th and 25th percentile from within the region, for each of the six "bands" in the timeline (I already have the plots in a matplotlib instantiation so it may be simplest to pull that into the ROI plot area 3. (alternate to 2) In the short-term I'm finding that the roiCurve in the ImageView example makes it hard to read data values. How could I add simple data labels at each point on the roiCurve? Any guidance on these customizations would be appreciated. It looks like once I instantiate a pg.ImageView window, it becomes difficult to customize subsections, though I can successfully load in the 6-image set and use the ROI tool. -- You received this message because you are subscribed to the Google Groups "pyqtgraph" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/pyqtgraph/b47d01fe-678b-4e41-af34-d7e7fe7e78f7%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
