Latest Contributions by AustinReeves

‎04-08-2020

I did consider this, and it would indeed save many hours of processing given the size of the dataset. However, my point datasets have not had the extent of query done to them as my buffers (as the buffers are my main extent features), and I would have to additionally go back and manage each point set. Hindsight is always wonderful ha-ha!

‎04-08-2020

That's what I had suspected on the multiprocessing for this tool once I realized the parallel processing wasn't doing anything. I have also read some of those threads regarding C++ vs Python and associated difficulties with coding multiprocessing with Python. My buffers are grouped via year (water sample date) and finding specifically the non-overlapping would indeed be tedious. I think I will stick to the slower process for now as it is still faster than me finding/grouping the specific buffers. The Zonal Stats tool does take advantage of overlap as it works on my datasets (quite fast at that) and believe it would very well be possible for you to implement in your toolbox. Thank you for the confirmation though!

‎04-08-2020

Curtis, One more question regarding the tool. I'm using the Tabulate Features To Percent, and have tried multiple configurations for the parallel processing factor but am not successfully utilizing more than one core on my CPU (of 8). I have read that some tools use a step-by-step process where one task is only able to be run after the previous one has been finished, and I was wondering if this is the case with this tool? Takes quite some time to process ~700 buffers in each dataset I have. Let me know what you think! Thanks

‎04-08-2020

You are a savior sir! Tool works flawlessly. Thank you again.

‎04-08-2020

Awesome suggestion! That toolbox is perfect for my project! I am currently trying out the Tabulate Features to Percent tool (as my buffers do overlap), and will let you know how it goes! Thank you!

‎04-07-2020

I have tried that, however this tool does not give me the stats I am looking for. Specifically what I need is the counts of the top three (or all) represented classes within each buffer. The best option this tool gives me is "majority", which is only the most represented cell class.

‎04-07-2020

Hello all, I am currently trying to find a tool that will help me with this problem. I have a feature class containing many buffers created from a point dataset. I also have a raster dataset where the cells are classed into simple groups. I am trying to find a tool that will give me an output that contains both the input feature class (buffers) data, along with respective cell counts for each cell class that fall within each buffer. I have tried the "extract by mask" tool, but the output of that keeps no data from the buffers. I was wondering if some tool could keep the same data table format as the feature class in the output, yet still add the cell value counts from the raster overlay. Anything helps! Thanks -Austin

‎12-17-2019

Dan Patterson and Joe Borgione, I got the new excel worksheet created with no blanks (plus the date range I'm interested in), and it transferred over to ArcPro with no issues! Wanted to say thanks again, as I wouldn't have known where to go without both of your guys' input! -Austin‌

‎12-17-2019

Have now filtered out all blanks and will see how this new table converts to ArcPro!

‎12-17-2019

That is correct in that the excel table I'm working from has missing values for various rows. However, it would be quite tedious to sort through all 80,000 and something samples ha! I wonder of there's an excel function to weed these out...

‎12-17-2019

Alright, I have looked in the fields editor and it is listed as a text data type, with the number format as numeric. This is what the original date format is being converted to via the "excel to table" tool. Thanks again for the help!

‎12-17-2019

By 'decimal day' you are referring to the format that is being created in the ArcPro table (26507.6875) correct? I would assume this is a string as it contains decimals.

‎12-17-2019

The expression I used was: datetime.datetime(1899,12,30) + datetime.timedelta(days = int(!Sample_Date_Time!)) My field containing the dates is the "Sample_Date_Time" and the rest was derived from that thread I linked. I'm not too familiar with python yet so would not be too sure where or what to change about this code.

‎12-16-2019

Hello, I have run into a little problem regarding the formatting of dates within a ArcPro table. First off, the table is originally a .xlsx and has been converted using the "excel to table" tool. The original excel table has a date field with values in the format of "12/23/1998 14:40" and has upon using the tool, has been converted into the 5-digit numeric date scheme. These numeric dates have decimals i.e. "26507.6875" and is due to what I assume to be the time of day. I have found this thread Date field in Excel to Table tool , but upon trying the code I get the standard "999999" message (unexpected error). Any other suggestions on how I can get the dates back to the regular format? Thanks! -Austin

Online Status	Offline
Date Last Visited	‎03-21-2024 08:16 PM

My Ideas

Latest Contributions by AustinReeves

Re: Extracting cell values falling within buffer features

Re: Extracting cell values falling within buffer features

Re: Extracting cell values falling within buffer features

Re: Extracting cell values falling within buffer features

Re: Extracting cell values falling within buffer features

Re: Extracting cell values falling within buffer features

Extracting cell values falling within buffer features

Re: Converting numeric time values into date format

Re: Converting numeric time values into date format

Re: Converting numeric time values into date format

Re: Converting numeric time values into date format

Re: Converting numeric time values into date format

Re: Converting numeric time values into date format

Converting numeric time values into date format

Re: Extracting cell values falling within buffer f...

Converting numeric time values into date format

Re: Converting numeric time values into date forma...