On Mon, 24 Jan 2022 at 05:37, Dennis Lee Bieber wrote:
> Note that the comparison warns that /indexing/ in pandas can be slow.
> If your manipulation is always "apply operationX to columnY" it should be
> okay -- but "apply operationX to the nth row of columnY", and repeat for
> other rows
On Sun, 23 Jan 2022 07:34:26 -0800, Tobiah declaimed the
following:
I'm going to do a little rearranging of your paragraphs, since most of
them are domain specific, whereas the last (original) paragraph actually
gets to a core...
Caveat: I've not written anything making use of ei
Message-
From: Julius Hamilton
To: Chris Angelico
Cc: python-list@python.org
Sent: Sun, Jan 23, 2022 1:05 pm
Subject: Re: Pandas or Numpy
Hey,
I don’t know but in case you don’t get other good answers, I’m pretty sure
Numpy is more of a mathematical library and Pandas is definitely for
handling
Hey,
I don’t know but in case you don’t get other good answers, I’m pretty sure
Numpy is more of a mathematical library and Pandas is definitely for
handling spreadsheet data.
So maybe both.
Julius
On Sun 23. Jan 2022 at 18:28, Chris Angelico wrote:
> On Mon, 24 Jan 2022 at 04:10, Tobiah
On Mon, 24 Jan 2022 at 04:10, Tobiah wrote:
>
> I know very little about either. I need to handle score input files
> for Csound. Each line is a list of floating point values where each
> column has a particular meaning to the program.
>
> I need to compose large (hundreds, thousands, maybe mill
