util/stats/chart.py:
add a bool config option for determining
if the legend is inside or outside the figure
--HG--
extra : convert_revision : e862d1832a0cc3c1837758cc247bc77c0a02ec12
util/stats/barchart.py:
oop forgot this for 1D graph cases.
util/stats/chart.py:
need to add default param to chart.
--HG--
extra : convert_revision : f4e6c6c614d584e7928ed905e97608716455ab6c
options, making existing options more visible and dealing with
holes in data better.
util/stats/barchart.py:
- move the options for BarChart to a base class ChartOptions so
they can be more easily set and copied.
- add an option to set the chart size (so you can adjust the aspect ratio)
- don't do the add_subplot thing, use add_axes directly so we can
affect the size of the figure itself to make room for the legend
- make the initial array bottom floating point so we don't lose precision
- add an option to set the limits on the y axis
- use a figure legend instead of an axes legend so we can put the legend
outside of the actual chart. Also add an option to set the fontsize of
the legend.
- initial hack at outputting csv files
util/stats/db.py:
don't print out an error when the run is missing from the database
just return None, the error will be print elsewhere.
util/stats/output.py:
- make StatOutput derive from ChartOptions so that it's easier to
set default chart options.
- make the various output functions (graph, display, etc.) take the
name of the data as a parameter instead of making it a parameter to
__init__. This allows me to create the StatOutput object with
generic parameters while still being able to specialize the name
after the fact
- add support for graph_group and graph_bars to be applied to multiple
configuration groups. This results in a cross product of the groups
to be generated and used.
- flush the html file output as we go so that we can load the file
while graphs are still being generated.
- make the proxy a parameter to the graph function so the proper system's
data can be graphed
- for any groups or bars that are completely missing, remove them from
the graph. This way, if we decide not to do a set of runs, there won't
be holes in the data.
- output eps and ps by default in addition to the png.
util/stats/profile.py:
- clean up the data structures that are used to store the function
profile information and try our best to avoid keeping extra data
around that isn't used.
- make get() return None if a job is missing so we know it was
missing rather than the all zeroes thing.
- make the function profile categorization stuff total up to 100%
- Fixup the x-axis and y-axis labels.
- fix the dot file output stuff.
util/stats/stats.py:
support the new options stuff for StatOutput
--HG--
extra : convert_revision : fae35df8c57a36257ea93bc3e0a0e617edc46bb7
