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Showing 2 results of 2

Dear colleagues,
next year's SIAM conference on Computational Science and Engineering,
CSE'13, will take place in Boston, February 25-March 1
(http://www.siam.org/meetings/cse13), and for this version there will
be a track focused on the topic of Big Data. This term has rapidly
risen in recent discussions of science and even of mainstream business
computing, and for good reasons. Today virtually all disciplines are
facing a flood of quantitative information whose volumes have often
grown faster than the quality of our tools for extracting insight from
these data. SIAM hopes that CSE'13 will provide an excellent venue
for discussing these problems, from the vantage point offered by a
community whose expertise combines analytical insights, algorithmic
development, software engineering and domain-specific applications.
As part of this event, Titus Brown (http://ged.msu.edu) and I are
organizing a minisymposium where we would like to have a group of
presentations that address both novel algorithmic ideas and
computational approaches as well as domain-specific problems. Data
doesn't appear in a vacuum, and data from different domains presents a
mix of common problems along with questions that may be specific to
each; we hope that by engaging a dialog between those working on
algorithmic and implementation questions and those with specific
problems from the field, valuable insights can be obtained.
If you would like to contribute to this minisymposium, please contact
us directly at:
"C. Titus Brown" <ct...@ms...>,
"Fernando Perez" <Fer...@be...>
with your name and affiliation, the title of your proposed talk and a
brief description (actual abstracts are due later so an informal
description will suffice for now), by Wednesday August 29. For more
details on the submission process, see:
http://www.siam.org/meetings/cse13/submissions.php
Please forward this to any interested colleagues.
Regards,
Titus and Fernando.
From: Nils G. <nil...@gm...> - 2012年08月23日 16:33:43
Attachments: plot_date_example.py
Hi,
I have noticed that matplotlib's plot_date() function occasionally
places the label at the date (or month or year) end instead of the
beginning. I attach a script illustrating the problem: I plot a range
of y-values for a range of dates. The y-value 29 should be associated
with 11 Nov 2011. In figure 1, left I am using UTC and everything is
fine. In the right plot I am using the 'Europe/London' timezone and
now the graph suggests that the y-value 29 is associated with 10 Nov
2011. When moving the mouse over the plot and watching the status bar
at the bottom it suggest that indeed the label is placed at the
date-end rather than the beginning. I have observed the same behaviour
with month and year labels being shifted in non-UTC timezones.
I have my time data as POSIX timestamps, so using datetime objects in
plotting directly is not a (convenient) option. (In the sample code I
use datetime only to generate example POSIX timestamps at midnight).
Instead I would like to rely on the epoch2num() helper function
supplied by matplotlib.
I am using matplotlib-1.1.0, numpy-1.6.1.
Any help appreciated,
thanks, Nils.

Showing 2 results of 2

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