Invalid RGBA argument
Created by: RosalynLP
Hi, I've been trying to run a vp runcard with multiple theories and am getting an error to do with colour in matplotlib plots:
Traceback (most recent call last):
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/colors.py", line 166, in to_rgba
rgba = _colors_full_map.cache[c, alpha]
KeyError: ('C10', None)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/s1303034/miniconda3/envs/nnpdf-dev/bin/validphys", line 11, in <module>
load_entry_point('validphys', 'console_scripts', 'validphys')()
File "/home/s1303034/Documents/nnpdfgit/nnpdf/validphys2/src/validphys/scripts/main.py", line 10, in main
vp.main()
File "/home/s1303034/Documents/nnpdfgit/nnpdf/validphys2/src/validphys/app.py", line 138, in main
a.main()
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/reportengine/app.py", line 373, in main
self.run()
File "/home/s1303034/Documents/nnpdfgit/nnpdf/validphys2/src/validphys/app.py", line 134, in run
super().run()
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/reportengine/app.py", line 358, in run
rb.execute_sequential()
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/reportengine/resourcebuilder.py", line 165, in execute_sequential
*self.resolve_callargs(callspec))
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/reportengine/resourcebuilder.py", line 174, in get_result
return function.final_action(fres, **prepare_args)
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/reportengine/figure.py", line 83, in savefiglist
res.append(savefig(fig, paths=paths, output=output, suffix=suffix))
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/reportengine/figure.py", line 66, in savefig
fig.savefig(str(path), bbox_inches='tight')
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/figure.py", line 2035, in savefig
self.canvas.print_figure(fname, **kwargs)
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/backend_bases.py", line 2212, in print_figure
**kwargs)
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py", line 513, in print_png
FigureCanvasAgg.draw(self)
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py", line 433, in draw
self.figure.draw(self.renderer)
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/figure.py", line 1475, in draw
renderer, self, artists, self.suppressComposite)
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/image.py", line 141, in _draw_list_compositing_images
a.draw(renderer)
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 2607, in draw
mimage._draw_list_compositing_images(renderer, self, artists)
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/image.py", line 141, in _draw_list_compositing_images
a.draw(renderer)
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/lines.py", line 787, in draw
rgbaFace = self._get_rgba_face()
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/lines.py", line 1259, in _get_rgba_face
return mcolors.to_rgba(self._get_markerfacecolor(alt=alt), self._alpha)
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/colors.py", line 168, in to_rgba
rgba = _to_rgba_no_colorcycle(c, alpha)
File "/home/s1303034/miniconda3/envs/nnpdf-dev/lib/python3.6/site-packages/matplotlib/colors.py", line 212, in _to_rgba_no_colorcycle
raise ValueError("Invalid RGBA argument: {!r}".format(orig_c))
ValueError: Invalid RGBA argument: 'C10'
----
[CRITICAL]: A critical error ocurred. This is likely due to one of the following reasons:
- A bug in validphys.
- Corruption of the provided resources (e.g. incorrect plotting files).
- Cosmic rays hitting your CPU and altering the registers.
The traceback above should help determine the cause of the problem. If you
believe this is a bug in validphys (please discard the cosmic rays first),
please open an issue on GitHub<https://github.com/NNPDF/nnpdf/issues>,
including the contents of the following file:
/tmp/validphys-crash-5g1a0t9s
Any idea what could be causing this? It's just with the specific runcard which I am pasting below. Could it be something to do with the large number of theories?
meta:
author: Rosalyn Pearson
keywords: [theory uncertainties, scale variations, 7-point]
title: Global NLO 7-pt comparison between old and new theories
default_theory:
- theoryid: 163
theoryids:
- 163
- 164
- 165
- 169
- 170
- 171
- 172
- 173
- 174
- 175
- 176
- 177
- 179
- 180
# - 178
dataspecs:
- theoryid: 163
speclabel: $old (\xi_F,\xi_R)=(1,1)$
- theoryid: 165
speclabel: $old (\xi_F,\xi_R)=(0.5,0.5)$
- theoryid: 164
speclabel: $old (\xi_F,\xi_R)=(2,2)$
- theoryid: 169
speclabel: $old (\xi_F,\xi_R)=(1,2)$
- theoryid: 170
speclabel: $old (\xi_F,\xi_R)=(1,0.5)$
- theoryid: 171
speclabel: $old (\xi_F,\xi_R)=(2,1)$
- theoryid: 172
speclabel: $old (\xi_F,\xi_R)=(0.5,1)$
- theoryid: 173
speclabel: $new (\xi_F,\xi_R)=(0.5,0.5)$
- theoryid: 174
speclabel: $new (\xi_F,\xi_R)=(1,0.5)$
- theoryid: 175
speclabel: $new (\xi_F,\xi_R)=(2,0.5)$
- theoryid: 176
speclabel: $new (\xi_F,\xi_R)=(0.5,1)$
- theoryid: 177
speclabel: $new (\xi_F,\xi_R)=(2,1)$
- theoryid: 179
speclabel: $new (\xi_F,\xi_R)=(1,2)$
- theoryid: 180
speclabel: $new (\xi_F,\xi_R)=(2,2)$
# - theoryid: 178
# speclabel: $new (\xi_F,\xi_R)=(0.5,2)$
normalize_to: 1
use_cuts: True
fit: 180421-lr-nlo-central_global
pdf:
from_: fit
experiments:
# Fixed target DIS
- experiment: NMC
datasets:
- dataset: NMCPD
- dataset: NMC
- experiment: SLAC
datasets:
- dataset: SLACP
- dataset: SLACD
- experiment: BCDMS
datasets:
- dataset: BCDMSP
- dataset: BCDMSD
- experiment: CHORUS
datasets:
- dataset: CHORUSNU
- dataset: CHORUSNB
- experiment: NTVDMN
datasets:
- dataset: NTVNUDMN
- dataset: NTVNBDMN
# HERA data
- experiment: HERACOMB
datasets:
- dataset: HERACOMBNCEM
- dataset: HERACOMBNCEP460
- dataset: HERACOMBNCEP575
- dataset: HERACOMBNCEP820
- dataset: HERACOMBNCEP920
- dataset: HERACOMBCCEM
- dataset: HERACOMBCCEP
# Combined HERA charm production cross-sections
- experiment: HERAF2CHARM
datasets:
- dataset: HERAF2CHARM
# F2bottom data
- experiment: F2BOTTOM
datasets:
- dataset: H1HERAF2B
- dataset: ZEUSHERAF2B
- experiment: D0
datasets:
- dataset: D0ZRAP
- dataset: D0WEASY
- dataset: D0WMASY
- experiment: ATLAS
datasets:
- dataset: ATLASWZRAP36PB
- dataset: ATLASZHIGHMASS49FB
- dataset: ATLASLOMASSDY11EXT
- dataset: ATLASWZRAP11
- dataset: ATLAS1JET11
- dataset: ATLASZPT8TEVMDIST
- dataset: ATLASZPT8TEVYDIST
- dataset: ATLASTTBARTOT
- dataset: ATLASTOPDIFF8TEVTRAPNORM
- experiment: CMS
datasets:
- dataset: CMSWEASY840PB
- dataset: CMSWMASY47FB
- dataset: CMSWCHARMRAT
- dataset: CMSDY2D11
- dataset: CMSWMU8TEV
- dataset: CMSJETS11
- dataset: CMSTTBARTOT
- dataset: CMSTOPDIFF8TEVTTRAPNORM
- experiment: CDF
datasets:
- dataset: CDFZRAP
- dataset: CDFR2KT
- experiment: LHCb
datasets:
- dataset: LHCBZ940PB
- dataset: LHCBZEE2FB
template: template_oldnewcomp.md
dataset_report:
meta: Null
template_text: |
## Scale variations as a function of the kinematics for {@dataset_name@}
{@plot_fancy_dataspecs@}
actions_:
- report(main=true)