Thanks Pierre,
I will try this package and come back here to give a feedback
Michael
Pierre GM a écrit :
> Michael,
> Give scikits.timeseries a try. It's a package designed to handle time series,
> with or without missing data or dates, for which matplotlib functions are
> also available.
> ht
Michael,
Give scikits.timeseries a try. It's a package designed to handle time series,
with or without missing data or dates, for which matplotlib functions are
also available.
http://scipy.org/scipy/scikits/wiki/TimeSeries
The problem you're refering to (missing dates) is trivial with this pack
Thanks for you reply Eric.
Since I am a beginner in matplotlib, I don't want to blame the soft
first. I mean it could be a bug, but I have the feeling my code for
masking the missing data is useless.
My real question is : How to mask data that do not exist ??? In the
masked_demo.py example, it
You have run into a bug in the combination of poly_between and
fill--maybe only the former, which not taking masked arrays into
account. I have not looked at it enough to know whether it will be easy
or hard to fix, but it certainly should be fixed. I can't look at it
more right now, unfortun
Hi list
I searched the list and google, but couldn't find a way to solve my pbm.
I have data stored in a list (from an sql query) , with these "columns":
x = time serie in hours
y = some level value
There are some missing values : eg between 08:33 and 08:40.
Here is my code :
sqla="SELECT *
