Latest Contributions by DavidPike

You're very welcome. ... View more

You could pretty easily populate the column by copying and pasting the printed values into your blank column whilst editing the table. Are they correct? ... View more

Wow, I'd test the results against your website, bear in mind it may have calculated lower class boundaries different from what you expected. Basically test quite a few features to see if correct result ... View more

Amended the code again ... View more

I've edited the code again. Copy and paste that in ... View more

What's the names of your columns? Are those aliases? I was guessing the spaces were underscores. Replace the names in the 'with arcpy.searchcursor ' line with their proper names ... View more

Haha, I've edited the original to count it as a list rather than new parameters. My bad. ... View more

Can you export your shapefile to a feature class? Not sure what's wrong. ... View more

Have you done as I said mate? ... View more

Hi, I've edited the original code to account for my stupidity. Also you need to specify you path with 'r' then in quotes as per the code. E.g.         r'c:/users/david/project.gdb' ... View more

Sorry change all those double equal signs to one equals sign up to and including line13 ... View more

Nice, Paste it into a new .py file in IDLE ... View more

Rafael, Unfortunately I dont have a home license for arcmap to test this. Do you have an IDE? If not I cant talk you through making it as a tool ... View more

import arcpy input_table = r'put the path to your table here' #lcb is the lower class boundary width_age_range_1 = 14.5 lcb_age_range_1 = 0.0 width_age_range_2 = 50.0 lcb_age_range_2 = 14.5 width_age_range_3 = 35.5 lcb_age_range_3 = 64.5 median_list = [ ] with arcpy.da.SearchCursor(input_table, ["TOT", "TOT_0_14", "TOT_15_64", "TOT_65"]) as cursor : for row in cursor : #if all numeric fields hopefully n_over2 = (row[0]/2.0) if row[1] >= n_over2 : #cumulative freq of groups before median group cumu_freq = 0.0 if row[1] != 0.0 : median = lcb_age_range_1 + ( ((n_over2 - cumu_freq)/row[1]) * width_age_range_1) median_list.append(median) continue continue if (row[1] + row[2]) >= n_over2 : #cumulative freq of groups before median group cumu_freq = row[1] if row[2] != 0.0 : median = lcb_age_range_2 + ( ((n_over2 - cumu_freq)/row[2]) * width_age_range_2) median_list.append(median) continue continue if (row[1] + row[2] + row[3]) >= n_over2 : #cumulative freq of groups before median group cumu_freq = row[1] + row[2] if row[3] != 0.0 : median = lcb_age_range_3 + ( ((n_over2 - cumu_freq)/row[3]) * width_age_range_3) median_list.append(median) continue continue else: median_list.append("error") for median in median_list : print(median) #obviously can add a field and append these values in rather than printing them. look at arcpy.da.UpdateCursors ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ ... View more

It's not actually too hard. N/2 will be the cumulative frequency you're looking for, so a search cursor and a few conditional statements should find your median group. Then just plug that group's range and upper and lower bands into the grouped median formula. I can write it out if you like. ... View more