plot formatting for ms (F3)

F3_zOR_time.py
- create plot using matplotlib Artist
- change axis labels to refer to functions.py

F3_zOR_benchmark.py
- add colors and mild/severe text to boxes
- change axis labels to refer to functions.py
- invert severity index axis

functions.py
- add axis labels under generic label formatting
supp figure shading, formatting, labels

ILINet_F3_zOR_benchmark.py
ILINet_F3_zOR_benchmark_altnorm.py
- standardized axis limits
- colored boxes and added labels for severe, mild, moderate
seasons
- changed coding to Artist format

functions.py
- standardized text label coordinates for mild and severe
for zOR vs benchmark plots

Supp_zOR_CFR_CHR.py
-changed coding to Artist format plots
- standard axis labels linked to functions.py
supp plot formatting - H3 perc, vax cov

ILINet_Supp_zOR_H3.py
Supp_zOR_H3.py
- change plots for supplement to Artist plotting
in matplotlib
- link axis labels to functions.py
- invert y-axis

Supp_zOR_vax
- invert y-axis
- change to Artist plotting
- link axis labels to functions.py
supp benchmark factors formatting

Supp_bench_benchmarkfactors.py
- change to Artist plotting
- rename P&I axis labels
- fix benchmark axis limits
- link axis labels to functions.py
benchmark bars, 01-02 to 08-09 orig vs excesspi

F3_benchmarkbars.R
- add bar plot with original benchmark values for
01-02 to 08-09 season
- add bar plot where proportion of all-cause mortality
due to P&I has been replaced with number of excess
P&I deaths (as calculated from weekly seasonal baseline
data provided by Matt for 01-02 to 08-09 seasons)
- these two bar plots are for benchmark composition
supplemental section
fig formatting 9/3/14 ms draft

fc new supplemental figures
- Supp_zOR_benchmark_altbaseline.py
- Supp_zOR_totalAR.py

generic figure formatting
- py: change to Artist format, labels reflect new
variable names, color fill mild/mod/severe,
invert axis for sigma_r
- R: legend label, remove titles
sort deviation from nat baseline by median

F4_zOR_state_stlvl.py
- sort deviation from nation level baseline
by median instead of by median of raw sigma_r