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Sum Area Grouped By Attribute

cwh

Hello everyone,

I have some data that looks like the attached pic. There's got to be an easy way to get a total area for each USE_CATEGORY and put the totals into a list or dictionary. Not sure if I need to maintain which total relates to which USE_CATEGORY. I don't need it for the current calculation I want to do, but may be worthwhile if I want to write it out to some external format later.

Thanks for any help/pointers.

data.png

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DanPatterson_Retired

summary statistics

All comments

cwh

I've had no opportunity to date to look at doing this using dictionaries, but summary statistics is working great. So I think I'll just leave it at that.

Thanks everyone!

bixb0012

Esri originally announced it would be 10.3.1, but it got pushed back to 10.4: What's new in ArcMap 10.4

cwh

What version of arcmap is pandas bundled?

I’m learning pandas right now and find the documentation tough. At least there’s stackexchange.

bixb0012

I like pandas, and especially like that it is now bundled with ArcGIS, but one rub I have with it is the poor documentation compared to other Python documentation. I find people new to Python struggle with the pandas documentation, unnecessarily so. I know I could put my something where my mouth is and contribute to the docs myself, but it isn't a big enough priority to fit into my schedule for the time being. In this case, a defaultdict works well and is a nice introduction to the extended data types in the collections module.

DanPatterson_Retired

James... numpy... did a split and count of a featureclass of mostly equal polygons. The process is like df.groupby

The big difference is you call the da.SearchCursor as usual, the line 5 is the key, it is what the ArcGIS module uses extensively in its code as I posted in my last blog.

in_fc <SPAN class="operator token">=</SPAN> r<SPAN class="string token">"C:\no_space\path\testdata.gdb\Carp_5x5"</SPAN>&nbsp;&nbsp; <SPAN class="comment token"># full 25 polygons</SPAN>

sc <SPAN class="operator token">=</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>SearchCursor<SPAN class="punctuation token">(</SPAN>in_fc<SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">[</SPAN><SPAN class="string token">'OBJECTID'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'Shape'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'Class'</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">,</SPAN> explode_to_points<SPAN class="operator token">=</SPAN><SPAN class="token boolean">True</SPAN><SPAN class="punctuation token">)</SPAN>

arr <SPAN class="operator token">=</SPAN> sc<SPAN class="punctuation token">.</SPAN>_as_narray<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">)</SPAN>

un<SPAN class="punctuation token">,</SPAN> idx<SPAN class="punctuation token">,</SPAN> cnts <SPAN class="operator token">=</SPAN> np<SPAN class="punctuation token">.</SPAN>unique<SPAN class="punctuation token">(</SPAN>arr<SPAN class="punctuation token">[</SPAN><SPAN class="string token">'Class'</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">,</SPAN> return_index<SPAN class="operator token">=</SPAN><SPAN class="token boolean">True</SPAN><SPAN class="punctuation token">,</SPAN> return_counts<SPAN class="operator token">=</SPAN><SPAN class="token boolean">True</SPAN><SPAN class="punctuation token">)</SPAN>

un
array<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">[</SPAN><SPAN class="string token">'A01'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'A02'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'A03'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'E03'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'E04'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'E05'</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">,</SPAN> 
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; dtype<SPAN class="operator token">=</SPAN><SPAN class="string token">'<U5'</SPAN><SPAN class="punctuation token">)</SPAN>

idx
array<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">[</SPAN>&nbsp; <SPAN class="number token">0</SPAN><SPAN class="punctuation token">,</SPAN>&nbsp;&nbsp; <SPAN class="number token">5</SPAN><SPAN class="punctuation token">,</SPAN>&nbsp; <SPAN class="number token">10</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">109</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">114</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">119</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">,</SPAN> dtype<SPAN class="operator token">=</SPAN>int64<SPAN class="punctuation token">)</SPAN>

cnts
array<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">[</SPAN><SPAN class="number token">5</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">,</SPAN> dtype<SPAN class="operator token">=</SPAN>int64<SPAN class="punctuation token">)</SPAN>

result <SPAN class="operator token">=</SPAN> np<SPAN class="punctuation token">.</SPAN>asarray<SPAN class="punctuation token">(</SPAN>list<SPAN class="punctuation token">(</SPAN>zip<SPAN class="punctuation token">(</SPAN>un<SPAN class="punctuation token">,</SPAN> cnts<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN> dtype<SPAN class="operator token">=</SPAN><SPAN class="punctuation token">[</SPAN><SPAN class="punctuation token">(</SPAN><SPAN class="string token">'Class'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'<U5'</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'Counts'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'<i4'</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN>

result
array<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">[</SPAN><SPAN class="punctuation token">(</SPAN><SPAN class="string token">'A01'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'A02'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'A03'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'E03'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'E04'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'E05'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">,</SPAN> 
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; dtype<SPAN class="operator token">=</SPAN><SPAN class="punctuation token">[</SPAN><SPAN class="punctuation token">(</SPAN><SPAN class="string token">'Class'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'<U5'</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'Counts'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="string token">'<i4'</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN>

result<SPAN class="punctuation token">.</SPAN>tolist<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">)</SPAN>
 
<SPAN class="punctuation token">[</SPAN><SPAN class="punctuation token">(</SPAN><SPAN class="string token">'A01'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'A02'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'A03'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'A04'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'A05'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'B01'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'B02'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'B03'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'B04'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'B05'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'C01'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'C02'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'C03'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">4</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'C03E'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">4</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'C03N'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">4</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'C03S'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">4</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'C04'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'C05'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'D01'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'D02'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'D03'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'D04'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'D05'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'E01'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'E02'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'E03'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'E04'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">,</SPAN>
 <SPAN class="punctuation token">(</SPAN><SPAN class="string token">'E05'</SPAN><SPAN class="punctuation token">,</SPAN> <SPAN class="number token">5</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

JamesCrandall

I'm surprised that Joshua didn't offer a pandas solution with its groupby function as well as a to_dict() --- the problem is with the limitations of FeatureClassToNumPyArray with some column types, but this may be something to consider. This gets close but I don't think it's exactly what you are looking for.

fc <SPAN class="operator token">=</SPAN> r<SPAN class="string token">'H:\MyfeatureClass'</SPAN>

<SPAN class="comment token">#Create array</SPAN>
nparr <SPAN class="operator token">=</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>FeatureClassToNumPyArray<SPAN class="punctuation token">(</SPAN>fc<SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">[</SPAN><SPAN class="string token">'USE_CATEGORY'</SPAN><SPAN class="punctuation token">,</SPAN><SPAN class="string token">'Shape_Area'</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN>

<SPAN class="comment token">#get array as pandas dataframe and populate the repeating values column</SPAN>
df <SPAN class="operator token">=</SPAN> pandas<SPAN class="punctuation token">.</SPAN>DataFrame<SPAN class="punctuation token">(</SPAN>nparr<SPAN class="punctuation token">,</SPAN>columns<SPAN class="operator token">=</SPAN><SPAN class="punctuation token">[</SPAN><SPAN class="string token">'USE_CATEGORY'</SPAN><SPAN class="punctuation token">,</SPAN><SPAN class="string token">'Shape_Area'</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN>

<SPAN class="comment token">#summarize as desired on shape area</SPAN>
df <SPAN class="operator token">=</SPAN> df<SPAN class="punctuation token">.</SPAN>groupby<SPAN class="punctuation token">(</SPAN>by<SPAN class="operator token">=</SPAN><SPAN class="string token">'USE_CATEGORY'</SPAN><SPAN class="punctuation token">,</SPAN> as_index<SPAN class="operator token">=</SPAN><SPAN class="token boolean">True</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">[</SPAN><SPAN class="string token">'Shape_Area'</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">.</SPAN>sum<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">)</SPAN>

<SPAN class="comment token">#make it a dictionary</SPAN>
myDictionary <SPAN class="operator token">=</SPAN> df<SPAN class="punctuation token">.</SPAN>to_dict<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">)</SPAN>‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

cwh

Yes, summary statistics. I'm not sure why that didn't pop into my head as I've already used it previously. I think I was focused more on the list/dictionary. I'm working on using summary statistics now and trying to use in_memory tables. Once that's working I think I'll do it using the defaultdict, just for the learning. I'll update the thread as things progress.

Thanks all.

bixb0012

I agree with Dan, Summary Statistics is the first thing that comes to mind. Since you mentioned putting "the totals into a list or dictionary," you could use a defaultdict:

<SPAN class="keyword token">from</SPAN> collections <SPAN class="keyword token">import</SPAN> defaultdict
use_areas <SPAN class="operator token">=</SPAN> defaultdict<SPAN class="punctuation token">(</SPAN>float<SPAN class="punctuation token">)</SPAN>
fc <SPAN class="operator token">=</SPAN> <SPAN class="comment token"># path to feature class</SPAN>

<SPAN class="keyword token">with</SPAN> arcpy<SPAN class="punctuation token">.</SPAN>da<SPAN class="punctuation token">.</SPAN>SearchCursor<SPAN class="punctuation token">(</SPAN>fc<SPAN class="punctuation token">,</SPAN> <SPAN class="punctuation token">[</SPAN><SPAN class="string token">"USE_CATEGORY"</SPAN><SPAN class="punctuation token">,</SPAN><SPAN class="string token">"SHAPE_Area"</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">)</SPAN> <SPAN class="keyword token">as</SPAN> cur<SPAN class="punctuation token">:</SPAN>
&nbsp;&nbsp;&nbsp; <SPAN class="keyword token">for</SPAN> use<SPAN class="punctuation token">,</SPAN> area <SPAN class="keyword token">in</SPAN> cur<SPAN class="punctuation token">:</SPAN>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; use_areas<SPAN class="punctuation token">[</SPAN>use<SPAN class="punctuation token">]</SPAN> <SPAN class="operator token">+=</SPAN> area<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

DanPatterson_Retired

summary statistics

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