Latest Contributions by ModernElectric

You can open ArcMap, and then navigate to C:\temp using the Catalog window.  When you double-click on the script within the Toolbox, what do you see?  Can you send a screen shot?  What meter number did you specify? This is what I see ... View more

Jake-   This is a great start - but it doesn't seem to be working according to your instructions. Is it open in ArcMap or ArcCatalog? - Also I dont see a place that asks me to type in a meter number This is an error I get back: Traceback (most recent call last):   File "C:\temp\Script1.py", line 8, in <module>     arcpy.TableSelect_analysis(table, r"in_memory\table_sel", "METER_NUMBER = " + arcpy.GetParameterAsText(0))   File "C:\Program Files\ArcGIS\Desktop10.0\arcpy\arcpy\analysis.py", line 153, in TableSelect     raise e ExecuteError: ERROR 999999: Error executing function. An invalid SQL statement was used. An invalid SQL statement was used. [Meters] An invalid SQL statement was used. [SELECT * FROM Meters WHERE METER_NUMBER = ] Failed to execute (TableSelect). ... View more

Attached is a zip file with an example.  Try the following: 1.  Extract the zip file to your C:\Temp directory 2.  Open ArcMap 3.  Under C:\Temp, expand the Data.gdb > Graph toolbox > double-click on the Script 4.  Specify a meter number, i.e. 8151830 5.  Click OK to execute the tool Within your C:\Temp directory you should have a graph as a PDF.  Is this what you are looking for? Jake-   This is a great start - but it doesn't seem to be working according to your instructions. Is it open in ArcMap or ArcCatalog? - Also I dont see a place that asks me to type in a meter number ... View more

That is what the original script that I posted does.  What you will need to do is create a sample graph and update the script with the correct paths to your data.  Then, create a toolbox > right-click on the toolbox > Add Script > browse to the script.  You will also need to add a parameter to the script of type Long. A user can then click on the script and it will open a dialog for them to specify a Meter Number.  Once they do and execute the tool, the meter number is queried and the graph is saved to a PDF. Jake-    Sounds like I have most of the parts....a good part of them from you...and I really appreciate that. The biggest headache right now is I cannot figure out the Script for the Search Cursor to isolate individual meter number records to produce a single graph for a specific meter number ... View more

Your fields need to be a list. http://resources.arcgis.com/en/help/main/10.2/index.html#//018w00000011000000 Instead of: fields = "BILLING_PERIOD";"METER_NUMBER";"KWH";"KW_DEMAND" try: fields = ["BILLING_PERIOD","METER_NUMBER","KWH","KW_DEMAND"] Mind me asking what's the purpose of creating a list of the meter numbers? Jake- What I am trying to do is to take a File Geodatabase Table that lists Electric Meters with their Peak KW Demand on a given billing period to eventually make a graph. See previous posts in this thread for full explination. I am having a heck of a time with this Search Cursor just trying to get a list of unique meter numbers with all of the rest of the data and isolating the rows of the same meter number ... View more

Okay - what is not working here? ## extract unique records from a gdb table and make mulitple tables for ## graphing import arcpy, os arcpy.env.overwriteOutput = True table = "C:\MEWCo GIS System\Electric System\MEWCo_Electric_Model-LOCAL.gdb\billing" fields = "BILLING_PERIOD";"METER_NUMBER";"KWH";"KW_DEMAND" # empty list to store unique meter numbers meterNumbers = [] # use a search cursor to extract the unique numbers with arcpy.SearchCursor(table,fields) as cursor:     for row in cursor:         if not row[1] in meterNumbers:             meterNumbers.append(row[1]) This is the error I'm getting: Traceback (most recent call last):   File "Z:\Operations\Maps and Records\GeoDatabase\MEWCO GIS System\Python Scripts\SearchCursorExample.py", line 16, in <module>     with arcpy.SearchCursor(table,fields) as cursor:   File "C:\Program Files\ArcGIS\Desktop10.0\arcpy\arcpy\__init__.py", line 820, in SearchCursor     return gp.searchCursor(*args)   File "C:\Program Files\ArcGIS\Desktop10.0\arcpy\arcpy\geoprocessing\_base.py", line 357, in searchCursor     self._gp.SearchCursor(*gp_fixargs(args))) IOError: "C:\MEWCo GIS System\Electric System\MEWCo_Electric_Model-LOCAL.gdb illing" does not exist ... View more

Excellent! It is great that you have written out a plan, many people don't and then get hopelessly lost... It definitely looks possible. Right now we'll get step 1 partly working, just printing to screen. Once that is good we can put the data in a useful data structure, rather than just printing it. I think James' suggestion, of using Pandas, is good. I haven't used it myself, but I think it works pretty well with time data and plotting functions. So there is something else you will need to look up and have a play with... Do you intend to only ever assess one meter at a time? You have a few options, but for now we may as well keep part 1 collecting all the data, and between part 1 and part 2 define the one METER NUMBER to make the graph of. Stacy-      Thank you for the posts. So far - I do not have much code written since I am still in the research and design phase of this project to get to the final outcome. Really looking for advice and maybe examples of different parts of the overall Python code. So far - I have some great information from different people to research and start doing some trial and error. The only thing I do not have yet:     How do I go about taking a Python script and making a "One-Click" custom button in ArcMap that when someone clicks on it - it runs the Python Script in the background? ... View more

Here is an example on how to accomplish this.  First, you will want to  create a sample graph in ArcMap.  Here is a screen shot of the  parameters I used: [ATTACH=CONFIG]27045[/ATTACH] After the graph is created, right-click on it and save it out as a .grf  file.  Now you can use the below code to create a graph of the "KW  Demand by Meter" by specifying a meter number: import arcpy from arcpy import env env.overwriteOutput = 1 env.workspace = r"C:\temp\python\test.gdb" table = "Meters" arcpy.TableSelect_analysis(table, r"in_memory\table_sel", "METER_NUMBER = " + arcpy.GetParameterAsText(0)) out_graph_name = arcpy.GetParameterAsText(0) out_graph_pdf = r"C:\Temp\python\Userdata" + "\\" + arcpy.GetParameterAsText(0) + ".pdf" input_template = r"C:\Temp\Python\UserData\KW Demand.grf" #grf file previously saved input_data = r"in_memory\table_sel" # Create the graph graph = arcpy.Graph() # Add a vertical bar series to the graph graph.addSeriesBarVertical(input_data, "KW_DEMAND") # Specify the title of the left axis graph.graphAxis[0].title = "KW Demand" # Specify the title of the bottom axis graph.graphAxis[2].title = "Meter Number" # Specify the title of the Graph graph.graphPropsGeneral.title = "KW Demand by Meter" # Output a graph, which is created in-memory arcpy.MakeGraph_management(input_template, graph, out_graph_name) # Save the graph as an image arcpy.SaveGraph_management(out_graph_name, out_graph_pdf, "MAINTAIN_ASPECT_RATIO", 600, 375) Jake-   Thank you for the Python Script for creating a graph. I will work with that and see what I can come up with ... View more

Hi, Have part of an answer for you, the code below will allow you to extract out the information based on the unique billing numbers within your table. It doesn't yet create and export the graphs but more on that in a  minute. Here is the code for extracting the unique billing tables. ## extract unique records from a gdb table and make mulitple tables for ## graphing import arcpy, os arcpy.env.overwriteOutput = True table = r'H:\Python\test.gdb\billing' fields = ['BILLING_PERIOD','METER_NUMBER','KWH','KW_DEMAND'] # empty list to store unique meter numbers meterNumbers = [] # use a search cursor to extract the unique numbers with arcpy.da.SearchCursor(table,fields) as cursor:     for row in cursor:         if not row[1] in meterNumbers:             meterNumbers.append(row[1]) # for each unique cursor make a table view using the billing number for # the selection for meter in meterNumbers:     ## omit the quotes if you table stores the meter number as a number not a string     expression = arcpy.AddFieldDelimiters(table,'METER_NUMBER') + " = " + "'" + meter + "'"     arcpy.MakeTableView_management(table,"CurrentMeter",expression)     # copy the rows to a permanent table in the same location     outTable = os.path.join(os.path.dirname(table),("meter_" + meter))     arcpy.CopyRows_management("CurrentMeter",outTable)     ## at this point can use the graphing options to generate the graphs and save     ## unfortunately don't have the answer yet for this the copy rows at the end is not strictly need as you can do the graph creation in memory for each billing table. If you want to create the graph purely using arcpy and ArcGIS you have a couple of options. There are the make and save graph tools which you can use based on a template graph created in arcmap, all that is required then is to modify the data source for each graph to your current table. Alternatively use the arcpy graph class to carry out all these steps, I believe you will need to use this class to modify the data sources in the previous example. THe save graph will then allow you to export to pdf. There is also matplotlib shipped with arcpy and that may be a better way to create the graphs. Sorry haven't used it so can't give you any steering on utilising it. Hope this helps and gets you started. If i come up with anything I'll post again. Cheers Dave Dave-    Thank you for the Python script to find the unique Meter Number and export them out. I will play with this and see what I can come up with. ... View more

I think I should include an example of the data that I am using to better explain what I am trying to accomplish Attached: Example.xlsx This is also in a File Geodatabase as a Geodatabase Table This table is composed of around 9500 meter records (METER NUMBER) 1) Go through the table and find METER NUMBER record with the billing period, KWH and KW Demand rows attached. 2) Extract/export/select a unique METER NUMBER with the data attached (billing period, KWH and KW Demand) 3) Take the data and build a graph showing the Billing Period along the "X" Axis, KWH and KW Demand along the "Y" Axis 4) Export the graph to a .PDF with the METER NUMBER as the file name From there I can use the Attachments Geoprocessing tool to take the .PDF and attach it to the Meter Location in the .MXD Long Term Goal is to create a One-Touch custom Button to select a specific METER NUMBER to create a graph described above and automatically create a .PDF. I know this sounds like a huge project - and want to learn how to build it piece by piece to eventually accomplish the Long Term Goal. Thanks for your help in advanced ... View more

Having a hard time getting multiple fields to show up. I have about (4) fields that I need to show:     TWACs_NUMBER     PERIOD_ENDS     KWH_USAGE     KW_DEMAND So Far - I can get the "TWACs_NUMBER to "print" to the screen - but I need all of these fields to "print" so I can sort them by TWACs NUMBER ... View more

Stacy-    Thank you for the ideas. I have playing around with the SearchCursor in Python and so far all I am getting it to do is to "Print" to the screen. What else would I have to do to extract this data out? This can definitely be done in Python, but you will have to learn a lot! Here are a few bits to get you started: SearchCursor (10.0), da.SearchCursor (10.2) allows you to iterate through tables and get values. You could store the values (date, reading) within lists in a Python dictionary by meter number. Python datetime module (inbuilt) will be helpful for working with dates. Matplotlib allows you to plot things from Python. I don't know how to make PDFs from Python, but I have no doubt whatsoever that it is possible... I would suggest you start playing around with matplotlib, datetime and searchcursors first, once you are familiar with them, start to think about the data structure that you will use to get the information from the searchcursor, analyse the monthly peak, and pass the result to matplotlib. Happy to help if you have more specific queries! ... View more