Why are dataframes so complicated in pandas? If I have a dataframe:
>>> h.head()
Num_Reads Tag_Count
0 1 179257
1 2 25025
2 3 6629
3 4 2510
4 5 1192
Then in order to access the first row it’s:
>>>h.iloc[[0]]
Num_Reads Tag_Count
0 1 179257
Why can’t I just use h[0] instead of this iloc thing? What advantage does that actually give me? And for some reason I can’t use h.iloc[[1]][0] to access the first column, I have to use h.iloc[[1]][“Num_Reads”]. It’s like pandas can’t understand that Num_Reads is the first column. Why can’t I have my array indexing and my key indexing like I can with many other languages?? I understand that if I want multiple columns then I need to provide a list of the columns that I want, but there’s no reason why the pandas code can’t be smart enough to determine if I want a single column matching what I selected or a list of columns.
quantifiedcoding 