in [60]: print(row.index) int64index([15], dtype='int64')
i know row number 15, in example. don't need know it's type or else. variable stores based on number is.
there else pandas wondering about. suppose returns 1 row:
row = df[df['username'] == "unique name"]
is less proper use methods loc, iloc, etc? still work , everything, curious if still done way in larger projects.. there preferred methods if it's 1 row, opposed list of rows.
if write
row.index[0]
then get, in case, integer 15.
note if check
dir(pd.int64index)
you can see includes list-like method __getitem__
.
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