> On Nov 12, 2019, at 8:10 AM, Sundar J <[email protected]> wrote:
> 
> Exactly the kind of functionally I am looking for. However, I also need to 
> move the map area by mouse drag so that area along with data is updated on 
> the GUI. 

That capability (along with mouse wheel or drag-rectangle zoom in/out) comes 
built-in with pyqtgraph, no work needed.

> 
> The GUI I am looking for is similar to zygrib or xygrib 
> (https://github.com/opengribs/XyGrib <https://github.com/opengribs/XyGrib>). 
> This used cpp with qt for plotting map. I don't know if the same technique 
> can be implemented under python.
> 
> I feel that pyqtgraph should have integration with earth science packages to 
> reach to larger audience.
> 
> I came here for the reason that the package is faster and updating to the 
> existing plot is feasible. However, it looks like it is very difficult. 

I wouldn’t say *very* difficult. I want to say that In some ways I found it to 
be easier to get the basics at least working with pyqtgraph than I did with 
Basemap (though it’s been a few months). There are libraries to do the 
coordinate conversions for you, so that’s easy. And subclassing axis item isn’t 
all that difficult either. Honestly, the map background is probably the hardest 
part, and (assuming you have a map you like), that’s more tweaking than 
anything. It might be harder if the mercator projection doesn’t work for you, 
however (dunno, never tried). But yes, it’s not as easy as “provide pyqtgraph 
your geographic data”.

---
Israel Brewster
Software Engineer
Alaska Volcano Observatory 
Geophysical Institute - UAF 
2156 Koyukuk Drive 
Fairbanks AK 99775-7320
Work: 907-474-5172
cell:  907-328-9145

> 
> On Mon, 11 Nov, 2019, 10:31 PM Israel Brewster, <[email protected] 
> <mailto:[email protected]>> wrote:
> It’s entirely possible, with a bit of work. I’ve done exactly that, opting 
> for pyqtgraph over basemap for performance reasons - with pyqtgraph I can get 
> a zoomable, pannable map that works well. Basemap is fine for static maps.
> 
> The key to plotting geographic data in pyqtgraph is to convert everything to 
> a projection that you like, such as mercator. At that point, everything is in 
> meters and can be plotted as simple x and y coordinates. Getting the map 
> background can be a bit tricky though, depending on your needs. For example, 
> if you want to be able to zoom from “whole earth” to “city” level, a single 
> bitmap won’t work very well, so you’ll have to figure out an alternative. On 
> the other hand, if you only need minimal zoom, then it’s just a matter of 
> finding/creating an appropriate bitmap image for your map background, and 
> using it as a background image on the plot.
> 
> Finally, if you want the axis to display latitude/longitude rather than 
> meters in your projection, you’ll have to subclass axisitem and override 
> tickStrings and tickValues to re-project the meter based values back to 
> lat/lon. This works well for the mercator projection, where latitude and 
> longitude lines are a straight grid, but I don’t know how well it would work 
> (or if it would work at all) for any of the projections where latitude and 
> longitude are curving lines. For those, you may just have to hide the axis 
> completely and rely on your background image.
> 
> ---
> Israel Brewster
> Software Engineer
> Alaska Volcano Observatory 
> Geophysical Institute - UAF 
> 2156 Koyukuk Drive 
> Fairbanks AK 99775-7320
> Work: 907-474-5172
> cell:  907-328-9145
> 
>> On Nov 11, 2019, at 7:47 AM, Evangelos Petsalis <[email protected] 
>> <mailto:[email protected]>> wrote:
>> 
>> Is there a specific reason you want to use PyQtgraph? Do you want the map to 
>> be in a 3D form so you can flip and rotate? 
>> If not, then Basemap would be a much easier tool to use, and then you can 
>> embed those figures in whatever GUI you feel like, such QT.
>> 
>> 
>> 
>> On Sun, Nov 10, 2019 at 10:35 AM Sundar J <[email protected] 
>> <mailto:[email protected]>> wrote:
>> I am planning to develop a small GUI which will contain a global map and on 
>> top some data from netcdf files would be plotted. Is it possible with 
>> pygtgraph? I have not come across such a example in the documentation or in 
>> blog tutorials. Could some one lead me right direction...
>> 
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