[
https://issues.apache.org/jira/browse/CLIMATE-822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15360360#comment-15360360
]
Lewis John McGibbney commented on CLIMATE-822:
----------------------------------------------
Can you verify if the entire product array is empty
Sent from my MetroPCS 4G LTE Android device
------ Original message------From: Ibrahim Jarif (JIRA) Date: Sat, Jul 2, 2016
3:23 AMTo: lewis.mcgibb...@gmail.com;Cc: Subject:[jira] [Commented]
(CLIMATE-822) ValueError in RCMES test
[
https://issues.apache.org/jira/browse/CLIMATE-822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15360114#comment-15360114
] Ibrahim Jarif commented on
CLIMATE-822:---------------------------------------[~lewismc] The issue is not
in plotter module. The data that is being passed to plotter module is invalid.
The following is the content of result array on line 165
https://github.com/apache/climate/blob/master/RCMES/test/test.py#L165.
Shouldn't result array have some valid data?{code}[masked_array(data = [[[[--
-- -- ..., -- -- --] [-- -- -- ..., -- -- --] [-- -- -- ..., -- -- --]
..., [-- 0.0 0.0 ..., 0.0 0.0 0.0] [-- 0.0 0.0 ..., 0.0 0.0 0.0] [-- 0.0
0.0 ..., 0.0 0.0 0.0]]]], mask = [[[[ True True True ..., True
True True] [ True True True ..., True True True] [ True True True
..., True True True] ..., [ True False False ..., False False False]
[ True False False ..., False False False]
[ True False False ..., False False False]]]], fill_value =
1e+20)]{code}> ValueError in RCMES test> ------------------------>>
Key: CLIMATE-822> URL:
https://issues.apache.org/jira/browse/CLIMATE-822> Project: Apache
Open Climate Workbench> Issue Type: Bug> Reporter: Ibrahim
Jarif> Priority: Critical> Fix For: 1.1>>> {code}>
test[smoke*] % python test.py > Loading
AFRICA_KNMI-RACMO2.2b_CTL_ERAINT_MM_50km_1989-2008_tasmax.nc into an OCW
Dataset Object> KNMI_Dataset.values shape: (times, lats, lons) - (240, 201,
194) > Working with the rcmed interface to get CRU3.1 Daily-Max Temp> We are
going to use the Model to constrain the Spatial Domain> The KNMI_Dataset
spatial bounds (min_lat, max_lat, min_lon, max_lon) are: > (-45.7599983215332,
42.2400016784668, -24.639999389648438, 60.279998779296875)> The KNMI_Dataset
spatial resolution (lat_resolution, lon_resolution) is: > (0.43999863, 0.440000
53)> Calculating the Maximum Overlap in Time for the datasets> Overlap
computed to be: 1989-01-01 to 2008-12-01> We are going to grab the first 3
year(s) of data> Final Overlap is: 1989-01-01 to 1992-01-01> Fetching data from
RCMED...> CRU31_Dataset.values shape: (times, lats, lons) - (37, 176, 170)>
KNMI_Dataset.values shape: (times, lats, lons) - (240, 201, 194)> Our two
datasets have a mis-match in time. We will subset on time to 3 years>
CRU31_Dataset.values shape: (times, lats, lons) - (37, 176, 170)>
KNMI_Dataset.values shape: (times, lats, lons) - (37, 201, 194) > Temporally
Rebinning the Datasets to a Single Timestep> KNMI_Dataset.values shape: (201,
194)> CRU31_Dataset.values shape: (176, 170) > Spatially Regridding the
KNMI_Dataset...> Spatially Regridding the CRU31_Dataset...> Final shape of the
KNMI_Dataset:(1, 176, 170)> Final shape of the CRU31_Dataset:(1, 176, 170)>
Setting up a Bias metric to use for evaluation> Making the Evaluation
definition> Executing the Evaluat
ion using the object's run() method> Accessing the Results of the Evaluation
run> Generating a contour map using ocw.plotter.draw_contour_map()> Traceback
(most recent call last):> File "test.py", line 179, in >
subtitles=sub_titles)> File "/home/ibrahim/Desktop/climate/ocw/plotter.py",
line 716, in draw_contour_map> cs = m.contourf(x, y, data, cmap=cmap,
levels=clevs, extend=extend)> File
"/home/ibrahim/miniconda2/lib/python2.7/site-packages/mpl_toolkits/basemap/__init__.py",
line 521, in with_transform> return
plotfunc(self,x,y,data,*args,**kwargs)> File
"/home/ibrahim/miniconda2/lib/python2.7/site-packages/mpl_toolkits/basemap/__init__.py",
line 3673, in contourf> CS = ax.contourf(x,y,data,*args,**kwargs)> File
"/home/ibrahim/miniconda2/lib/python2.7/site-packages/matplotlib/__init__.py",
line 1812, in inner> return func(ax, *args, **kwargs)> File
"/home/ibrahim/miniconda2/lib/python2.7/site-packages/matplotlib/axes/_axes.py",
line 5652, in contour
f> return mcontour.QuadContourSet(self, *args, **kwargs)> File
"/home/ibrahim/miniconda2/lib/python2.7/site-packages/matplotlib/contour.py",
line 1424, in __init__> ContourSet.__init__(self, ax, *args, **kwargs)>
File
"/home/ibrahim/miniconda2/lib/python2.7/site-packages/matplotlib/contour.py",
line 863, in __init__> self._process_args(*args, **kwargs)> File
"/home/ibrahim/miniconda2/lib/python2.7/site-packages/matplotlib/contour.py",
line 1445, in _process_args> x, y, z = self._contour_args(args, kwargs)>
File
"/home/ibrahim/miniconda2/lib/python2.7/site-packages/matplotlib/contour.py",
line 1540, in _contour_args> self._contour_level_args(z, args)> File
"/home/ibrahim/miniconda2/lib/python2.7/site-packages/matplotlib/contour.py",
line 1183, in _contour_level_args> raise ValueError("Filled contours
require at least 2 levels.")> ValueError: Filled contours require at least 2
levels.> {code}--This message was sent by Atlassian JIRA(v6.3.4#6332)
> ValueError in RCMES test
> ------------------------
>
> Key: CLIMATE-822
> URL: https://issues.apache.org/jira/browse/CLIMATE-822
> Project: Apache Open Climate Workbench
> Issue Type: Bug
> Reporter: Ibrahim Jarif
> Priority: Critical
> Fix For: 1.1
>
>
> {code}
> test[smoke*] % python test.py
> Loading AFRICA_KNMI-RACMO2.2b_CTL_ERAINT_MM_50km_1989-2008_tasmax.nc into an
> OCW Dataset Object
> KNMI_Dataset.values shape: (times, lats, lons) - (240, 201, 194)
> Working with the rcmed interface to get CRU3.1 Daily-Max Temp
> We are going to use the Model to constrain the Spatial Domain
> The KNMI_Dataset spatial bounds (min_lat, max_lat, min_lon, max_lon) are:
> (-45.7599983215332, 42.2400016784668, -24.639999389648438, 60.279998779296875)
> The KNMI_Dataset spatial resolution (lat_resolution, lon_resolution) is:
> (0.43999863, 0.44000053)
> Calculating the Maximum Overlap in Time for the datasets
> Overlap computed to be: 1989-01-01 to 2008-12-01
> We are going to grab the first 3 year(s) of data
> Final Overlap is: 1989-01-01 to 1992-01-01
> Fetching data from RCMED...
> CRU31_Dataset.values shape: (times, lats, lons) - (37, 176, 170)
> KNMI_Dataset.values shape: (times, lats, lons) - (240, 201, 194)
> Our two datasets have a mis-match in time. We will subset on time to 3 years
> CRU31_Dataset.values shape: (times, lats, lons) - (37, 176, 170)
> KNMI_Dataset.values shape: (times, lats, lons) - (37, 201, 194)
> Temporally Rebinning the Datasets to a Single Timestep
> KNMI_Dataset.values shape: (201, 194)
> CRU31_Dataset.values shape: (176, 170)
> Spatially Regridding the KNMI_Dataset...
> Spatially Regridding the CRU31_Dataset...
> Final shape of the KNMI_Dataset:(1, 176, 170)
> Final shape of the CRU31_Dataset:(1, 176, 170)
> Setting up a Bias metric to use for evaluation
> Making the Evaluation definition
> Executing the Evaluation using the object's run() method
> Accessing the Results of the Evaluation run
> Generating a contour map using ocw.plotter.draw_contour_map()
> Traceback (most recent call last):
> File "test.py", line 179, in <module>
> subtitles=sub_titles)
> File "/home/ibrahim/Desktop/climate/ocw/plotter.py", line 716, in
> draw_contour_map
> cs = m.contourf(x, y, data, cmap=cmap, levels=clevs, extend=extend)
> File
> "/home/ibrahim/miniconda2/lib/python2.7/site-packages/mpl_toolkits/basemap/__init__.py",
> line 521, in with_transform
> return plotfunc(self,x,y,data,*args,**kwargs)
> File
> "/home/ibrahim/miniconda2/lib/python2.7/site-packages/mpl_toolkits/basemap/__init__.py",
> line 3673, in contourf
> CS = ax.contourf(x,y,data,*args,**kwargs)
> File
> "/home/ibrahim/miniconda2/lib/python2.7/site-packages/matplotlib/__init__.py",
> line 1812, in inner
> return func(ax, *args, **kwargs)
> File
> "/home/ibrahim/miniconda2/lib/python2.7/site-packages/matplotlib/axes/_axes.py",
> line 5652, in contourf
> return mcontour.QuadContourSet(self, *args, **kwargs)
> File
> "/home/ibrahim/miniconda2/lib/python2.7/site-packages/matplotlib/contour.py",
> line 1424, in __init__
> ContourSet.__init__(self, ax, *args, **kwargs)
> File
> "/home/ibrahim/miniconda2/lib/python2.7/site-packages/matplotlib/contour.py",
> line 863, in __init__
> self._process_args(*args, **kwargs)
> File
> "/home/ibrahim/miniconda2/lib/python2.7/site-packages/matplotlib/contour.py",
> line 1445, in _process_args
> x, y, z = self._contour_args(args, kwargs)
> File
> "/home/ibrahim/miniconda2/lib/python2.7/site-packages/matplotlib/contour.py",
> line 1540, in _contour_args
> self._contour_level_args(z, args)
> File
> "/home/ibrahim/miniconda2/lib/python2.7/site-packages/matplotlib/contour.py",
> line 1183, in _contour_level_args
> raise ValueError("Filled contours require at least 2 levels.")
> ValueError: Filled contours require at least 2 levels.
> {code}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
