Pierre GM wrote:
Your data is indexed in time, right ? Your x-axis is a date object ? Then use
scikits.timeseries
http://scipy.org/scipy/scikits/wiki/TimeSeries
I'm not sure what this is giving me.
The dates are all python datetimes in a list already.
The missing values started off as '', I
Eric Firing wrote:
Both with respect to documentation and functionality, what you are
encountering is the historical aspect of masked arrays as a tacked-on
part of python numeric packages, and of matplotlib.
*sigh* I feel lucky ;-)
Support and
integration are improving, but still far
Chris,
My 2c:
Your data is indexed in time, right ? Your x-axis is a date object ? 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
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
Chris,
Both with respect to documentation and functionality, what you are
encountering is the historical aspect of masked arrays as a tacked-on
part of python numeric packages, and of matplotlib. Support and
integration are improving, but still far from perfect. A largely new,
and
