I have this dataframe: team opponent home_dummy round points 0 Athlético-PR Flamengo 0 13 22.91 1 Athlético-PR Atlético-GO 0 17 23.6 2 Athlético-PR Fortaleza 1 20 28.58 3 Athlético-PR Fortaleza 0 1 75.71 4 Athlético-PR Ceará 1 14 42.22 5 Athlético-PR Coritiba 1 10 52.91 6 Athlético-PR Goiás 1 2 39.82 7 Athlético-PR Goiás 0 […]
Tag: 18
I am trying to calculate the amount of stock left after transactions have been made, however it is returning me a negative amount. What could I be doing wrong with my GROUP BY as it is not seeming to be working or is it the actual calculation (I am a complete beginner as you can […]
For my research I am visualizing plastic contents in segments of water. After creating my segment (online, polygons in KML-file) I jointed it with my table with fieldworkdata with plastics per segment. Creating a map with these segments works fine until I want to combine the amount of plastic and the segments. My code is […]
I have a code that reads in 50 text files, each one generates a histogram, and a gaussian is fitted for each histogram. The area under each gaussian is then taken and plotted against time (which is essentially which text file it was multiplied by 18). I would like to then manipulate this data separately […]
I added pagination for TV app, but every time new page added, list is not starting where it was but it is starting from beginning with new page elements which is ok. how can i resume list where it was and add new page elements without reloading from beginning? Here is my adapter: private var […]
This question sounds so unreasonable to me that I’m convinced I’m missing something obvious, but it can’t find it. I have a tibble, whose first 200 rows are at the end of this question. The code I tried was this: record %>% group_by(samples, rep, bests) %>% summarise(prop = round(n()/samples, 2)) However, this didn’t have the […]
Loading data to oracle via python 3 using cx_Oracle library. Here is code snippet: for fl in processing_list: fname = fl.split(‘/’)[-1] data_set = [] data_reader = csv.reader(open(fl,’r’),delimiter=’|’) for rec in data_reader: rec.insert(0,fname) data_set.append(rec) curs.executemany(‘insert into test_sdp_dump values(:1,:2,:3,:4,:5,:6,:7,:8,:9,:10,:11,:12,:13,:14,:15,:16,:17,:18,:19,:20,:21,:22,:23,:24,:25,:26,:27,:28,:29,:30,:31,:32,:33,:34,:35,:36,:37,:38,:39,:40,:41,:42,:43,:44,:45,:46,:47,:48,:49,:50,:51,:52,:53,:54,:55,:56,:57,:58,:59,:60,:61,:62,:63,:64,:65,:66,:67,:68,:69,:70,:71,:72,:73,:74,:75,:76,:77,:78,:79,:80,:81,:82,:83,:84,:85,:86,:87,:88,:89,:90,:91,:92,:93,:94,:95,:96,:97)’,data_set,batcherrors=True) for error in curs.getbatcherrors(): print(‘Error Message:’ + error.message + ‘Row Offset:’ + str(error.offset)) print(data_set[error.offset]) It works fine while […]
I have two dataframes, one of which has around 300 columns, the other has around 30. The 30 columns in the second dataframe all come from the first but all have different column names. How can I run analysis of those 30 columns on the first table to show which columns they most likely represent? […]
I have these dice. I don’t know where they came from or how I got them, and I can’t imagine what they are for. They are 20-sided dice but the numbers on the sides are bananas. See image Numbers on them are: 4, 5, 7, 10, 12, 15, 16, 18, 20, 21, 24, 28, 35, […]
I have been working on this question for a long time, and I can’t seem to get it right. I have tried everything I know and I really need help figuring out what is wrong. I have two files: File 1: A list of names and numbers of sequences i.e: name,AGAT,AATG,TATC Jake,28,42,14 Chris,17,22,19 Anne,36,18,25 and […]