Jan-02-2018, 11:30 AM
Hi all,
New to python but am coding a project to become more familiar.
My dilemma is this: how do I access data within a given slice of a dataframe, which, to my understanding, is itself a dataframe, if I know that data's index?
For example:
Is there something obvious I am missing?
I have been working on this and can't seem to suss out the required result.
I do know that requiredValue, in my code, is a DataFrame, and I can access its columnar descriptors, but, again, when I use either r.loc[2] or r[2], I get None as the data's value.
I've been all over StackExchange and have read through a few different docs, and they all seem to point to the code I wrote as being right.
New to python but am coding a project to become more familiar.
My dilemma is this: how do I access data within a given slice of a dataframe, which, to my understanding, is itself a dataframe, if I know that data's index?
For example:
d = pandas.DataFrame(columns = ['first', 'second', 'third'], dtype=float) # insert code that instantiates the columns with float values # for brevity's sake, let's also presume that d has multiple rows # and that I know the value of one of the columns in the row I am trying to access r = d.loc[d['first'] == some_value] # <-- this seems to work to give me the row I need requiredValue = r[2] # <-- this is not working, and is returning 'None' for requiredValue
Is there something obvious I am missing?
I have been working on this and can't seem to suss out the required result.
I do know that requiredValue, in my code, is a DataFrame, and I can access its columnar descriptors, but, again, when I use either r.loc[2] or r[2], I get None as the data's value.
I've been all over StackExchange and have read through a few different docs, and they all seem to point to the code I wrote as being right.