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Also generally, if people are storing integer numbers instead of float/double, they would use a Long Int field type not a double, since they take up less space memory-wise. Making a double field with no decimals is not usually likely.
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07-01-2015
09:57 AM
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Okay, so you just typed in the field name using Josh's method and it failed since it was expecting brackets on the field names. Are you sure that 500620 was actually 500620 and not 500620.4? The double field maybe only be showing a certain number of significant digits or numbers after the decimal, but in reality could have a large number of decimal places. On the field properties, you can see how many significant digits or decimal places it is showing by clicking the numeric option, and can control the number of significant digits or decimal places it shows. With 0 decimal places showing(Double Field) Changing Numeric Field Properties Change decimal places showing New field values showing So your double field, might have some significant rounding issues, depending on the number of significant digits or decimal places it is showing. The true value is stored in the table, but is just rounded for display purposes.
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07-01-2015
09:51 AM
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HI Dan, When using the VB Parser, field names need to be in brackets, with the python parser, they need to be in exclamation points. Instead of typing the field name out, it is easiest to select from the field from the fields list, it will add it to the calculation with the proper formatting for the parser selected.
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07-01-2015
09:33 AM
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Now I'm curious why what you said didn't work for him because it certainly worked for me in a test case as well as Joe. Your reply was entirely correct and should have worked. Dan Horalík, could you check your geoprocessing results and see what the error was when using Josh's method for you. This can be done by going to the main toolbar Geoprocessing dropdown>Results. It should open a window showing all the geoprocessing operations you've performed. Could you tell us the error message it gave you for the two operations that failed for you?
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07-01-2015
09:31 AM
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Glad you got it working. If you have the time, please mark the question as answered.
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07-01-2015
09:24 AM
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Hi Dan, In field calculator if you you swtich the parser to python and put str(!YourfieldHere!) it should convert the numbers to strings(text)
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07-01-2015
09:05 AM
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Hi Almaz, If Area_Acres is a numeric type field, you will need to change it to: str([Area_Acres]) + '/n' + 'Acres' Otherwise its seems there is a problem with your install of the numpy module. ArcMap 10.3 is supposed to use the 1.7.1 version and is supposed to be installed on your computer with 10.3 if it is not detected, though if you did a custom install, you could have skipped it. ArcGIS 10.3.x for Desktop system requirements—Help | ArcGIS for Desktop If this is indeed the issue, you might look at downloading and installing the module seperately instead of reinstalling ArcGIS 10.3 numpy 1.7.1 : Python Package Index
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06-30-2015
08:41 AM
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Hi Andrew, It looks like your coordinates are in Degrees Decimal Minutes. You will likely need to convert them to decimal degrees(not too terribly hard, do a google search for how to convert). Then you should be able to import the lat/long into arcgis.
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06-25-2015
06:19 AM
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Mahmod, Take a look at this help thread, it go through all the steps you need for hydrologic analysis. ArcGIS Help 10.1 The step I described was #6 in that help, where you will need to determine for yourself, what the minimum flow accumulation value is that you want to consider a stream. You can use the Con(Spatial Analyst) Tool, to determine what values will be considered stream or not stream. There is a link for the help with the Con Tool in the link I posted, but the goal is to set the minimum flow accumulation values, then turn the flow accumulation raster into a binary raster, either the pixel meets the threshold value and is turned into a 1(so is a stream) or does not meet the threshold value and is a 0 (not a stream). You may want to test with several values as the threshold until it fits how you feel the watershed should be characterized.
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06-22-2015
06:54 AM
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Glad you found a working solution. To be honest, I've always been a bit intimidated by dictionaries, so I don't use them enough, but I know from being on this forum for a while how useful they can be. Really Richard is the one you should be thanking for posting such excellent help for using dictionaries with cursors for data access and manipulation. If I got to script more often, I'd probably use dictionaries more often, but since I don't get to in my current line of work I make python work for what I do.
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06-19-2015
11:30 AM
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Nested Cursors can be a bit finicky, and fairly slow to boot. Richard Fairhurst has a pretty good blog about using dictionaries with cursors instead of nesting cursors. May be better for what you are trying to do. Turbo Charging Data Manipulation with Python Cursors and Dictionaries
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06-19-2015
08:03 AM
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I would look at see what types your values are. I'm guessing that from your fc, the values are all numbers(check the field type), but the csv is likely treating everything as a string, not integers like the fc field values. Try using the int(line[0]) and see if that changes anything.
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06-19-2015
07:06 AM
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As a raster, this is not surprising, especially if you have a very high resolution DEM. Each flow path is only 1 pixel wide, which doesn't show up at high zoom levels. Once you zoom in, the flow paths look more correct. For better symbolizing of your stream, you need to use a raster calculator, to set the minimum number of pixels to be considered a stream, then you can use the Stream to Feature Tool to Convert them to a polyline feature class. ArcGIS Help 10.1 Deriving runoff characteristics ArcGIS Desktop Stream to Feature
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06-19-2015
07:01 AM
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could you just move the Las Dataset to another folder other than the one with all the .las files? In model builder there I'm not sure there is a way to fix this, but with python you could check if the file ended with the letter d, then remove it from the list of files for input.
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06-18-2015
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