human
I am working on the file "Guerilla Archiving RadNet data.ipynb".
The first task is:
So retrieval time seems to go up significantly once we go past 500 rows.
So let's write an iterative retrieval function
Can you write Python program for it?
assistant
#Here is the Python program you requested.

def collect(tablename, rowcount=100, limit = 1000):
    '''
        The API understands start/end to be INCLUSIVE
    '''
    count   =table_count(tablename)
    def inner():
        start   =0
        end     = rowcount-1    
        while start <=count:
            end=min(end,limit-1)
            url = makeurl(tablename,start,end)
            print(url)
            yield requests.get(url).json()
            
            start+= rowcount
            end  += rowcount
            if start>limit-1:return
    return pandas.DataFrame(list(chain.from_iterable(inner())))

erm_analyte=collect('ERM_ANALYTE',rowcount=20,limit=35)

len(erm_analyte)