Pierre,
I was interested in learning more about TimeSeries, and had a few
questions...
Your data is indexed in time, right ? Your x-axis is a date object ?
Just to be clear on the language: "indexed in time" means data for which
the x-axis is a series of dates, correct? But I am not sure what is meant
by the "x-axis being a date object"--wouldn't it be a axis object with the
values comprising it being date objects? I'm not trying to split hairs, I'm
just unclear about the way this is typically described and it would be
useful for me to be clear about it.
Then use
> scikits.timeseries
> http://scipy.org/scipy/scikits/wiki/TimeSeries
> That package was designed to take missing dates/data into account. That
> way,
> you can plot your data with the gaps already taken into account: we have
> written a specific matplotlib interface, you'll find the details following
> the link above.
I've looked at the link. Could you explain what TimeSeries does that the
mpl modules dates and dateutil don't do, or when one would use one versus
the other?
For my part, I need to simply plot values with dates (and yes with some
dates missing no doubt) as the x-axis and am looking for various ways to do
it well.
Thank you.
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