Latest Contributions by DarrenWiens2

This is assuming your field is actually <Null>, not blank, or something else: Codeblock: def blah(field):   if field:     return "Yes"   else:     return "No" expression: blah(!yourfield!) ... View more

My example was overly complicated, selecting random bands and combining into one raster, but I don't think you're going to find a tool that does what you want without some customization. Below is code that will calculate the mean value for a range of bands and output that raster. Python doesn't have to be scary. Just open the Python window in ArcMap and copy/paste. Change the band numbers and raster paths to suit your own needs (just the values after '=' in lines 2 - 5). Text after '#' is a Python comment and will be ignored. >>> import os # import a library for later ... startBand = 1 # starting band number ... endBand = 5 # end band number ... inputRaster = r'C:\junk\YourInputRaster.tif' # input multiband raster ... outputRaster = r'C:\junk\YourOutputRaster.tif' # output single band raster ... rasterAdder = arcpy.Raster(os.path.join(inputRaster ,'Band_' + str(startBand))) ... for i in range(startBand+1,endBand+1): # loop through bands ...    bandx = arcpy.Raster(os.path.join(inputRaster ,'Band_' + str(i))) # add bands together ...    rasterAdder += bandx ... meanRaster = rasterAdder/((endBand - startBand) + 1) # calculate mean ... meanRaster.save(outputRaster) # save raster ... View more

You set 'x' on line 17, but then give it new values on lines 45 and 49. Use a different variable name in your loops if you want to maintain the value of x. See below for a very simple example of what's going on with your variable 'x': >>> x = 15 ... for x in range(100): ...    pass ... print x ... 99 ... View more

Not sure I completely understand (do the grey lines actually appear, or is that just for clarity?), but you might try using a Page Definition to filter your shapes/labels matching the DDP index, rather than clipping by extent. ... View more

Run Summary Statistics, using polygon ID as case field, and ship ID as the COUNT statistic field. Join the result back to your polygon layer to see the ship count for each polygon. ... View more

Here's how you can combine a sample of random raster bands into a new raster using Python. This assumes your bands are named "Band_1", "Band_2", etc. Change the numbers to suit your data - I don't have a 366 band raster to play with. >>> import os, random ... bands = [] ... raster = r'C:\junk\comp_rast.tif' ... bandNumList = [] ... for i in range(1,7): # create list from 1 - 6 ...    bandNumList.append(i) ... print bandNumList ... random.shuffle(bandNumList) # randomize list ... print bandNumList ... for i in range(3): # loop through first three in list ...    bandx = os.path.join(raster,'Band_' + str(bandNumList)) ...    bands.append(bandx) # add appropriate band path to list of raster band paths ... print bands ... arcpy.CompositeBands_management(bands,r'C:/junk/three.tif') # create new composite raster ... [1, 2, 3, 4, 5, 6] [3, 1, 2, 6, 4, 5] ['C:\\junk\\comp_rast.tif\\Band_3', 'C:\\junk\\comp_rast.tif\\Band_1', 'C:\\junk\\comp_rast.tif\\Band_2'] ... View more

You can enter this any time after you've created the feature layer called "locations_lyr". ... View more

The main goal in choosing a projection is to minimize a certain type of distortion or accept the fact that all or some will be distorted more than others, between area, distance, or angle. Each projection has a sweet spot, at or between certain lines, where these distortions are minimized. You should choose a projection that fits your needs as far as type of distortion goes, as well as fits your geographical area. With that said, your local geographers probably have things mostly figured out. See what they use. For example, I live in British Columbia, which spans several UTM zones. If a project fits neatly inside UTM zone 9, we will likely use that coordinate system. If it spans from zone 9 to 10, chances are we will default to BC Environment Albers. For the US, here is an extensive list of what the USGS uses. ... View more

Along the lines you (and the rest of this thread) have outlined, this help page goes through the steps to clean up your image. One of my most visited pages, I'm sure. ... View more

This is an extremely open-ended question. I assume this map is focused on the geography of the conference itself (e.g. venues, rooms, activity locations, etc.), not conference participants or conference topic content. Do you want it to be interactive or static? Perhaps a standalone JS API web map is sufficient. Maybe you should check out story maps. Do you want to enable time (see who is speaking where and when)? There are lots of options, you just need to really think about what you want. Then, return with specific questions. ... View more

Make XY Event Layer creates a temporary point layer. Try saving it to a permanent point file. From the help: The output point feature layer created by this tool is temporary and will not persist after the session ends. You can export this event layer to a feature class on disk using the Copy Features,Feature to Point, or Feature Class to Feature Class tool. ... View more

Create one label for each color background, style the label as you want it, give it an ID, and save them in your mxd (off the map is fine). Then, you can access the TextElement by its ID, copy it, and position it, all through Python. ... View more