im using a .loc to find the row and just append straight in.....it just speeds things up, because the bigger the dataframe gets, the longer append tends to take. that is also the reason im using dictionairies. so i basically wrote this code to make the row create itself, and fill the data its missing with in, with the data it has in the list, within the dictionary(i've also tried a list, no dictionary, to append, basically same problems
data['googl'].loc['{}'.format(tempdata.keys())] = data['googl'].append(tempdata[rawclock],ignore_index=True)
ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
if you need any variables defined. I'll be glad to do so