Did you run the link to check your computer's ability to run ArcGIS Pro? (You can check older versions of Pro as well)
"Recommended" would be considered the minimum. The amount by which your computer exceeds this would be important. Ram and GPU are important.
Also, clear Pro's 'cache' from the project backstage.
Thanks for your reply... Yes... the computer meets all the requirements... and I still have the same issue... any other ideas?...
Clearing the Pro's 'cache' from the project backstage helped just a bit with the execution time, and it is still very slow compared with the ArcGIS Map performance
It was marked as Assumed Answered, so I thought you were done with the issue.
You also don't indicate how "slow" the operation takes. Anything more than a minute is related to your system and comparing to arcmap doesn't help. Pro 2.6 is quite speedy, so that might be a suggestion then.
As a final note, I normally do such simple calculations in numpy (using RasterToNumPyArray) since it is blazingly fast and return the resultant to arcpy using NumPyArrayToRaster. You can account for nodata values quite simply
Thank you Dan for your quick help... I marked it as answered by mistake.
My python script has approximately 271 lines of codes. Many operations over raster are computed really fast like 1-2 minutes.
However, other parts are very slow taking like 1 hour long to execute only 4 lines of code, for example:
t26 = time.time()
U = Raster(( 0.41 * var) / ( Ln (( Z_Blend - Dis_Ht ) / Zom ) - var1 + var2 ), r"memory\Ustar_2")
ReStar_2 = Raster(0.009 * U / var3, r"memory\ReStar_2")
Ct_star_2 = Raster(( 0.71 ** ( - 2 / 3 )) * ( ReStar_2 ** -0.5 ), r"memory\Ct_star_2")
term2_2 = Raster(Con ( Zom == 0, 0, (( 2 * Conopy_cov * fs * 0.41 * U_Uh * ( Zom / Ht_Canopy )) / Ct_star_2 )), r"memory\term2_2")
print("execution time: ", round((time.time()-t26)/60, 2)) #
All the variables are raster. Maybe, are the conditionals (Con) time consuming?
Thank you Dan!... I have still problems with my code... I was not able to run the RasterToNumPyArray option... I am posting a new question with more detailed explanation.. in case you wanna help!.. thanks!