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KeyError: 'No object named /obs/df in the file' #29
Comments
What versions of vespa and isochrones are you using? I have recently
updated isochrones and vespa is not (yet) compatible with isochrones >=2.0.
…On Sat, May 25, 2019 at 6:08 PM reneheller ***@***.***> wrote:
I have a folder that contains three files: "star.ini", "fpp.ini" and the
phase-folded light curve. I then run
heller$ starfit --all .
and MultiNest (v3.10) seems to be running just fine:
====>
Sampling finished. Exiting MultiNest
(...)
triple starfit successful for . in 7.1 minutes.
<====
Then I run
heller$ calcfpp
which ends with a RuntimeError:
====>
/usr/local/lib/python3.7/site-packages/numpy/lib/npyio.py:2242:
VisibleDeprecationWarning: Reading unicode strings without specifying the
encoding argument is deprecated. Set the encoding, use None for the system
default.
output = genfromtxt(fname, **kwargs)
WARNING:root:sklearn not available
WARNING:root:progressbar not imported
WARNING:root:Cadence not provided in fpp.ini; defaulting to Kepler cadence.
Cadence not provided in fpp.ini; defaulting to Kepler cadence.
WARNING:root:If this is not a Kepler target, please set cadence (in days).
If this is not a Kepler target, please set cadence (in days).
WARNING:root:Transit band not provided in fpp.ini; defaulting to "Kepler."
Transit band not provided in fpp.ini; defaulting to "Kepler."
WARNING:root:If this is not a Kepler target, please specify filter.
If this is not a Kepler target, please specify filter.
'No object named /obs/df in the file'
ERROR:root:FPP calculation failed for ..
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/vespa/fpp.py", line 236, in
from_ini
single_starmodel = StarModel.load_hdf(single_starmodel_file)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py",
line 1256, in load_hdf
obs = ObservationTree.load_hdf(filename, path+'/obs', ic=ic)
File "/usr/local/lib/python3.7/site-packages/isochrones/observation.py",
line 869, in load_hdf
samples = store[path+'/df']
File "/usr/local/lib/python3.7/site-packages/pandas/io/pytables.py", line
504, in *getitem*
return self.get(key)
File "/usr/local/lib/python3.7/site-packages/pandas/io/pytables.py", line
694, in get
raise KeyError('No object named {key} in the file'.format(key=key))
KeyError: 'No object named /obs/df in the file'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/bin/calcfpp", line 151, in
n=args.n)
File "/usr/local/lib/python3.7/site-packages/vespa/fpp.py", line 242, in
from_ini
'Please run starfit --all {}.'.format(folder))
RuntimeError: Cannot load StarModels. Please run starfit --all ..
FPP calculation failed for ..
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/vespa/fpp.py", line 236, in
from_ini
single_starmodel = StarModel.load_hdf(single_starmodel_file)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py",
line 1256, in load_hdf
obs = ObservationTree.load_hdf(filename, path+'/obs', ic=ic)
File "/usr/local/lib/python3.7/site-packages/isochrones/observation.py",
line 869, in load_hdf
samples = store[path+'/df']
File "/usr/local/lib/python3.7/site-packages/pandas/io/pytables.py", line
504, in *getitem*
return self.get(key)
File "/usr/local/lib/python3.7/site-packages/pandas/io/pytables.py", line
694, in get
raise KeyError('No object named {key} in the file'.format(key=key))
KeyError: 'No object named /obs/df in the file'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/bin/calcfpp", line 151, in
n=args.n)
File "/usr/local/lib/python3.7/site-packages/vespa/fpp.py", line 242, in
from_ini
'Please run starfit --all {}.'.format(folder))
RuntimeError: Cannot load StarModels. Please run starfit --all ..
<====
So now I'm supposed to tun starfit --all . again although I've just done
that before. Anyways, if I do that
heller$ starfit --all .
now gives an error message
====>
1 of 1: .
Fitting .
single starfit...
mist_starmodel_single.h5 exists. Use -o to overwrite.
single starfit successful for . in 0.4 minutes.
binary starfit...
mist_starmodel_binary.h5 exists. Use -o to overwrite.
binary starfit calculation failed for ..
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/isochrones/starfit.py", line
127, in starfit
fig1,fig2 = mod.corner_plots(corner_base)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py",
line 1070, in corner_plots
fig1, fig2 = self.corner_physical(**kwargs), self.corner_observed(**kwargs)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py",
line 1696, in corner_physical
return self.corner_derived(self.physical_quantities)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py",
line 1691, in corner_derived
fig = corner.corner(self.derived_samples[cols], labels=cols, **kwargs)
File "/usr/local/lib/python3.7/site-packages/pandas/core/frame.py", line
2934, in *getitem*
raise_missing=True)
File "/usr/local/lib/python3.7/site-packages/pandas/core/indexing.py",
line 1354, in _convert_to_indexer
return self._get_listlike_indexer(obj, axis, **kwargs)[1]
File "/usr/local/lib/python3.7/site-packages/pandas/core/indexing.py",
line 1161, in _get_listlike_indexer
raise_missing=raise_missing)
File "/usr/local/lib/python3.7/site-packages/pandas/core/indexing.py",
line 1252, in _validate_read_indexer
raise KeyError("{} not in index".format(not_found))
KeyError: "['Teff', 'mass', 'radius', 'logg'] not in index"
triple starfit...
mist_starmodel_triple.h5 exists. Use -o to overwrite.
triple starfit calculation failed for ..
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/isochrones/starfit.py", line
127, in starfit
fig1,fig2 = mod.corner_plots(corner_base)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py",
line 1070, in corner_plots
fig1, fig2 = self.corner_physical(**kwargs), self.corner_observed(**kwargs)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py",
line 1696, in corner_physical
return self.corner_derived(self.physical_quantities)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py",
line 1691, in corner_derived
fig = corner.corner(self.derived_samples[cols], labels=cols, **kwargs)
File "/usr/local/lib/python3.7/site-packages/pandas/core/frame.py", line
2934, in *getitem*
raise_missing=True)
File "/usr/local/lib/python3.7/site-packages/pandas/core/indexing.py",
line 1354, in _convert_to_indexer
return self._get_listlike_indexer(obj, axis, **kwargs)[1]
File "/usr/local/lib/python3.7/site-packages/pandas/core/indexing.py",
line 1161, in _get_listlike_indexer
raise_missing=raise_missing)
File "/usr/local/lib/python3.7/site-packages/pandas/core/indexing.py",
line 1252, in _validate_read_indexer
raise KeyError("{} not in index".format(not_found))
KeyError: "['Teff', 'mass', 'radius', 'logg'] not in index"
<===
I know that the problem can't be in the files that I'm providing because
I've successfully run vespa on them on another machine.
Any help would be appreciated.
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Hi Morten! I installed everything yesterday, and
gives ===> So following your comment, it seems to me I'm currently using incompatible versions of vespa and isochrones. Do you see any workaround how I can get vespa running now? |
Install isochrones v1.2.2: `pip install isochrones==1.2.2` should work.
(See the most recent vespa release notes:
https://github.com/timothydmorton/VESPA/releases)
You will have to define a new $ISOCHRONES directory (or wipe your existing
`~/.isochrones` directory). Hope this works for you!
…On Sun, May 26, 2019 at 6:59 AM reneheller ***@***.***> wrote:
Hi Morten! I installed everything yesterday, and
pip3 list
gives
===>
isochrones 2.0.1
VESPA 0.6
<===
So following your comment, it seems to me I'm currently using incompatible
versions of vespa and isochrones. Do you see any workaround how I can get
vespa running now?
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I now did things as per your suggestion. I first did Then I deleted all output files that I had previously generated for my star.ini, fpp.ini and CSV light curve files and started from scratch using ===> But when I run calfpp, I receive a new error message that I'm not able to handle:
===> Any help will be very much appreciated. |
Have you tried updating your version of emcee? I believe I successfully
ran with 3.0rc2. Let me know if that works.
…On Tue, May 28, 2019 at 5:25 AM reneheller ***@***.***> wrote:
I now did things as per your suggestion. I first did
pip3 uninstall isochrones
then deleted ~/.isochrones, and finally installed isochrones v1.2.2 via
pip install isochrones==1.2.2.
Then I deleted all output files that I had previously generated for my
star.ini, fpp.ini and CSV light curve files and started from scratch using
starfit --all .
This seems to have gone smoothly
===>
(...)
Total Likelihood Evaluations: 988862
Sampling finished. Exiting MultiNest
triple starfit successful for . in 13.5 minutes.
<===
But when I run calfpp, I receive a new error message that I'm not able to
handle:
heller$ calcfpp
===>
/usr/local/lib/python3.7/site-packages/numpy/lib/npyio.py:2242:
VisibleDeprecationWarning: Reading unicode strings without specifying the
encoding argument is deprecated. Set the encoding, use None for the system
default.
output = genfromtxt(fname, **kwargs)
WARNING:root:sklearn not available
WARNING:root:progressbar not imported
WARNING:root:Cadence not provided in fpp.ini; defaulting to Kepler cadence.
Cadence not provided in fpp.ini; defaulting to Kepler cadence.
WARNING:root:If this is not a Kepler target, please set cadence (in days).
If this is not a Kepler target, please set cadence (in days).
WARNING:root:Transit band not provided in fpp.ini; defaulting to "Kepler."
Transit band not provided in fpp.ini; defaulting to "Kepler."
WARNING:root:If this is not a Kepler target, please specify filter.
If this is not a Kepler target, please specify filter.
INFO:root:Fitting transitsignal with MCMC...
Fitting transitsignal with MCMC...
INFO:root:Fitting data to trapezoid shape with MCMC for EPIC201497682_3....
Fitting data to trapezoid shape with MCMC for EPIC201497682_3....
ERROR:root:FPP calculation failed for ..
Traceback (most recent call last):
File "/usr/local/bin/calcfpp", line 151, in
n=args.n)
File "/usr/local/lib/python3.7/site-packages/vespa/fpp.py", line 260, in
from_ini
trsig.MCMC()
File "/usr/local/lib/python3.7/site-packages/vespa/transitsignal.py", line
300, in MCMC
self.Ts_acor = integrated_time(Ts)
File "/usr/local/lib/python3.7/site-packages/emcee/autocorr.py", line 88,
in integrated_time
f = function(x, axis=axis, fast=fast)
File "/usr/local/lib/python3.7/site-packages/emcee/autocorr.py", line 41,
in function
acf = np.fft.ifft(f * np.conjugate(f), axis=axis)[m].real
FutureWarning: Using a non-tuple sequence for multidimensional indexing is
deprecated; use arr[tuple(seq)] instead of arr[seq]. In the future this
will be interpreted as an array index, arr[np.array(seq)], which will
result either in an error or a different result.
FPP calculation failed for ..
Traceback (most recent call last):
File "/usr/local/bin/calcfpp", line 151, in
n=args.n)
File "/usr/local/lib/python3.7/site-packages/vespa/fpp.py", line 260, in
from_ini
trsig.MCMC()
File "/usr/local/lib/python3.7/site-packages/vespa/transitsignal.py", line
300, in MCMC
self.Ts_acor = integrated_time(Ts)
File "/usr/local/lib/python3.7/site-packages/emcee/autocorr.py", line 88,
in integrated_time
f = function(x, axis=axis, fast=fast)
File "/usr/local/lib/python3.7/site-packages/emcee/autocorr.py", line 41,
in function
acf = np.fft.ifft(f * np.conjugate(f), axis=axis)[m].real
FutureWarning: Using a non-tuple sequence for multidimensional indexing is
deprecated; use arr[tuple(seq)] instead of arr[seq]. In the future this
will be interpreted as an array index, arr[np.array(seq)], which will
result either in an error or a different result.
<===
Any help will be very much appreciated.
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I have emcee 2.2.1 and emcee3 3.0.0.dev0
===> I uninstalled emcee and reinstalled emcee, making sure I have the latest version. But that's still/again emcee 2.2.1. How can I tell calcfpp to use emcee3 instead of emcee? |
Try installing emcee from github master (should be version 3.0rc2) and see
if that works.
…On Wed, May 29, 2019 at 3:39 AM reneheller ***@***.***> wrote:
I have emcee 2.2.1 and emcee3 3.0.0.dev0
heller$ pip3 list
===>
emcee 2.2.1
emcee3 3.0.0.dev0
<===
I uninstalled emcee and reinstalled emcee, making sure I have the latest
version. But that's still/again emcee 2.2.1.
How can I tell calcfpp to use emcee3 instead of emcee?
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This also didn't help. I installed emcee 3.0rc2 from the github master (https://emcee.readthedocs.io/en/latest/user/install), then deleted all previous output files from vespa and tried it again. The first step seems to have worked without problems:
But then this happens:
===> |
I met the same problem. Vespa is not (yet) compatible with some latest packages. pip3 install astropy==1.3 pandas==0.19.2 emcee==3.0rc2 could make it work. |
I tried
which led to the following problem.
|
I was wrong. I made it work using below packages. astropy (1.3) I met another problem about ''mixed type'' that pandas cant recognize data tpye correctly when isochrone package read HDF. The reason is some values of [Fe/H] are nan or something that are recognized as 'object'. Then tpyes, float and object, exits in the same column. If you met the same problem, change the file (isochrone package /mist/grid.py) may be helpful.
|
I can't downgrade to pandas 0.21.
gives an error:
So I'm stuck with pandas 0.24.2. Then when I execute
in my test folder with the fpp.ini, star.ini, and lightcurve.csv files, I receive
|
Try pip3 uninstall pandas before installing pandas==0.21. I didn' t meet this problem. Check the values in the files of your test folder maybe of some help to you. Find which file includes or which function produces the '0.694466137561774976-309' is important. The test case I used as below: https://github.com/timothydmorton/vespa-tutorial/tree/master/Workshop-2018/TestCase1 |
Hi, did this ever get resolved? I've followed through the same steps and found the same errors. I've got stuck at the same place as this thread ends with the error: triple starfit calculation failed for .. |
Nope. This is the place where I stranded last time in trying to install vespa. Now, more than a year later, when I just tried to give this a new shot, I couldn't even reproduce this error. Instead, I'm meeting so many new error messages that I needed to get rid of that I'm inclined to conclude that vespa 0.6 is depreciated (python 3.8, macOS Catalina 10.15.7). |
Hi, all. I understand your frustration. #34 lays out a roadmap for bringing vespa up-to-date. If any of you on this issue see vespa as critical to your current research, I encourage you to contribute to its development. I would be happy to help guide if anyone is so interested. My current employment situation does not give me time to do this development myself, and this is a direct result of several declined rounds of funding proposals several years ago that were targeted at supporting continued vespa development. Lesson to the community: fund open-source analysis software if you want it to stay relevant! |
Anyone come up with the solution to above problem yet? I'm also facing the similar issues. |
Unfortunately not. |
Can't we try to install VESPA via .yml file generated from other machine in which vespa is running perfectly? |
Have any of you tried using some of the yaml files posted in #36? Also, I know @jessiechristiansen and @sakheebhure have somehow been using vespa recently, so maybe they can post their env files. |
I tried but nothing just happened. It is working for |
Here is my environment which successfully runs vespa (after much blood, sweat and tears!). Ah, it won't let me attach a .yml file. Copy this text into your own .yml file: name: vespa
|
@jessiechristiansen @timothydmorton `(base) priyash@priyash-Latitude-E5520:~/Desktop$ conda env update -n my_env --file vespa6.yml >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<
environment variables:
populated config files : /home/priyash/.condarc An unexpected error has occurred. Conda has prepared the above report. If submitted, this report will be used by core maintainers to improve [y/N]: Is there any problem with my YAML file ? here is the file I used:
|
You probably at least have to change the prefix at the bottom which is still hard-coded to point at my directory! |
See my solution here -- #36 I have built working .yml files for MacOS (tested on Big Sur) and Linux (Ubuntu 20.04). If you install my MoonPy code, this should all be handled for you (including some modifications to the vespa code, such as the representation --> representation_type keyword issue). So far I can only get vespa to work with isochrones v1.1.1. Critically, you have to clobber your existing ~/.isochrones folder if you change versions of isochrones. I currently encounter the starfit --all breakdown with isochrones v2.1. I'm working on a fix right now. |
I have a folder that contains three files: "star.ini", "fpp.ini" and the phase-folded light curve. I then run
heller$ starfit --all .
and MultiNest (v3.10) seems to be running just fine:
====>
Sampling finished. Exiting MultiNest
(...)
triple starfit successful for . in 7.1 minutes.
<====
Then I run
heller$ calcfpp
which ends with a RuntimeError:
====>
/usr/local/lib/python3.7/site-packages/numpy/lib/npyio.py:2242: VisibleDeprecationWarning: Reading unicode strings without specifying the encoding argument is deprecated. Set the encoding, use None for the system default.
output = genfromtxt(fname, **kwargs)
WARNING:root:sklearn not available
WARNING:root:progressbar not imported
WARNING:root:Cadence not provided in fpp.ini; defaulting to Kepler cadence.
Cadence not provided in fpp.ini; defaulting to Kepler cadence.
WARNING:root:If this is not a Kepler target, please set cadence (in days).
If this is not a Kepler target, please set cadence (in days).
WARNING:root:Transit band not provided in fpp.ini; defaulting to "Kepler."
Transit band not provided in fpp.ini; defaulting to "Kepler."
WARNING:root:If this is not a Kepler target, please specify filter.
If this is not a Kepler target, please specify filter.
'No object named /obs/df in the file'
ERROR:root:FPP calculation failed for ..
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/vespa/fpp.py", line 236, in from_ini
single_starmodel = StarModel.load_hdf(single_starmodel_file)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py", line 1256, in load_hdf
obs = ObservationTree.load_hdf(filename, path+'/obs', ic=ic)
File "/usr/local/lib/python3.7/site-packages/isochrones/observation.py", line 869, in load_hdf
samples = store[path+'/df']
File "/usr/local/lib/python3.7/site-packages/pandas/io/pytables.py", line 504, in getitem
return self.get(key)
File "/usr/local/lib/python3.7/site-packages/pandas/io/pytables.py", line 694, in get
raise KeyError('No object named {key} in the file'.format(key=key))
KeyError: 'No object named /obs/df in the file'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/bin/calcfpp", line 151, in
n=args.n)
File "/usr/local/lib/python3.7/site-packages/vespa/fpp.py", line 242, in from_ini
'Please run
starfit --all {}
.'.format(folder))RuntimeError: Cannot load StarModels. Please run
starfit --all .
.FPP calculation failed for ..
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/vespa/fpp.py", line 236, in from_ini
single_starmodel = StarModel.load_hdf(single_starmodel_file)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py", line 1256, in load_hdf
obs = ObservationTree.load_hdf(filename, path+'/obs', ic=ic)
File "/usr/local/lib/python3.7/site-packages/isochrones/observation.py", line 869, in load_hdf
samples = store[path+'/df']
File "/usr/local/lib/python3.7/site-packages/pandas/io/pytables.py", line 504, in getitem
return self.get(key)
File "/usr/local/lib/python3.7/site-packages/pandas/io/pytables.py", line 694, in get
raise KeyError('No object named {key} in the file'.format(key=key))
KeyError: 'No object named /obs/df in the file'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/bin/calcfpp", line 151, in
n=args.n)
File "/usr/local/lib/python3.7/site-packages/vespa/fpp.py", line 242, in from_ini
'Please run
starfit --all {}
.'.format(folder))RuntimeError: Cannot load StarModels. Please run
starfit --all .
.<====
So now I'm supposed to tun
starfit --all .
again although I've just done that before. Anyways, if I do thatheller$ starfit --all .
now gives an error message
====>
1 of 1: .
Fitting .
single starfit...
mist_starmodel_single.h5 exists. Use -o to overwrite.
single starfit successful for . in 0.4 minutes.
binary starfit...
mist_starmodel_binary.h5 exists. Use -o to overwrite.
binary starfit calculation failed for ..
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/isochrones/starfit.py", line 127, in starfit
fig1,fig2 = mod.corner_plots(corner_base)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py", line 1070, in corner_plots
fig1, fig2 = self.corner_physical(**kwargs), self.corner_observed(**kwargs)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py", line 1696, in corner_physical
return self.corner_derived(self.physical_quantities)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py", line 1691, in corner_derived
fig = corner.corner(self.derived_samples[cols], labels=cols, **kwargs)
File "/usr/local/lib/python3.7/site-packages/pandas/core/frame.py", line 2934, in getitem
raise_missing=True)
File "/usr/local/lib/python3.7/site-packages/pandas/core/indexing.py", line 1354, in _convert_to_indexer
return self._get_listlike_indexer(obj, axis, **kwargs)[1]
File "/usr/local/lib/python3.7/site-packages/pandas/core/indexing.py", line 1161, in _get_listlike_indexer
raise_missing=raise_missing)
File "/usr/local/lib/python3.7/site-packages/pandas/core/indexing.py", line 1252, in _validate_read_indexer
raise KeyError("{} not in index".format(not_found))
KeyError: "['Teff', 'mass', 'radius', 'logg'] not in index"
triple starfit...
mist_starmodel_triple.h5 exists. Use -o to overwrite.
triple starfit calculation failed for ..
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/isochrones/starfit.py", line 127, in starfit
fig1,fig2 = mod.corner_plots(corner_base)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py", line 1070, in corner_plots
fig1, fig2 = self.corner_physical(**kwargs), self.corner_observed(**kwargs)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py", line 1696, in corner_physical
return self.corner_derived(self.physical_quantities)
File "/usr/local/lib/python3.7/site-packages/isochrones/starmodel.py", line 1691, in corner_derived
fig = corner.corner(self.derived_samples[cols], labels=cols, **kwargs)
File "/usr/local/lib/python3.7/site-packages/pandas/core/frame.py", line 2934, in getitem
raise_missing=True)
File "/usr/local/lib/python3.7/site-packages/pandas/core/indexing.py", line 1354, in _convert_to_indexer
return self._get_listlike_indexer(obj, axis, **kwargs)[1]
File "/usr/local/lib/python3.7/site-packages/pandas/core/indexing.py", line 1161, in _get_listlike_indexer
raise_missing=raise_missing)
File "/usr/local/lib/python3.7/site-packages/pandas/core/indexing.py", line 1252, in _validate_read_indexer
raise KeyError("{} not in index".format(not_found))
KeyError: "['Teff', 'mass', 'radius', 'logg'] not in index"
<===
I know that the problem can't be in the files that I'm providing because I've successfully run vespa on them on another machine.
Any help would be appreciated.
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