Closed JrtPec closed 7 years ago
indeed, that's bad. And the standby graphs are not updated since the upgrade.
I'm busy at work now, i'll try to debug this over the weekend.
I see two issues. When running recipes/electricity_standby.py
on the droplet, I get a ValueError:
Cache object created for variable: elec_min_night_0-5
/usr/local/lib/python2.7/dist-packages/opengrid/library/analysis.py:54: FutureWarning: how in .resample() is deprecated
the new syntax is .resample(...).min()
df = df.resample('D', how=agg)
Traceback (most recent call last):
File "recipes/electricity_standby.py", line 73, in <module>
agg='min', starttime=starttime, endtime=endtime)
File "/usr/local/lib/python2.7/dist-packages/opengrid/library/caching.py", line 328, in cache_results
df_new = hp.get_data(sensors = [sensor], head=last_day)
File "/usr/local/lib/python2.7/dist-packages/opengrid/library/houseprint/houseprint.py", line 478, in get_data
df = pd.concat(series, axis=1)
File "/usr/local/lib/python2.7/dist-packages/pandas/tools/merge.py", line 845, in concat
copy=copy)
File "/usr/local/lib/python2.7/dist-packages/pandas/tools/merge.py", line 878, in __init__
raise ValueError('No objects to concatenate')
ValueError: No objects to concatenate
And when running the notebook analysis/Electricity_Standby.ipynb
I get
TypeErrorTraceback (most recent call last)
<ipython-input-4-e30e6884d115> in <module>()
4 endtime = dt.time(5, tzinfo=BXL)
5 caching.cache_results(hp=hp, sensors=sensors, resultname='elec_min_night_0-5', AnalysisClass=DailyAgg,
----> 6 agg='min', starttime=starttime, endtime=endtime)
7
8 caching.cache_results(hp=hp, sensors=sensors, resultname='elec_max_night_0-5', AnalysisClass=DailyAgg,
/usr/local/opengrid/opengrid/library/caching.pyc in cache_results(hp, sensors, resultname, AnalysisClass, **kwargs)
326
327 # get new data, full resolution
--> 328 df_new = hp.get_data(sensors = [sensor], head=last_day)
329
330 # apply the method
/usr/local/opengrid/opengrid/library/houseprint/houseprint.py in get_data(self, sensors, sensortype, head, tail, diff, resample, unit)
471 if sensors is None:
472 sensors = self.get_sensors(sensortype)
--> 473 series = [sensor.get_data(head=head, tail=tail, diff=diff, resample=resample, unit=unit) for sensor in sensors]
474
475 # workaround for https://github.com/pandas-dev/pandas/issues/12985
/usr/local/opengrid/opengrid/library/houseprint/sensor.py in get_data(self, head, tail, diff, resample, unit)
278
279 # interpolate to requested frequency
--> 280 newindex = data.resample(rule).first().index
281 data = data.reindex(data.index.union(newindex))
282 data = data.interpolate(method='time')
TypeError: first() takes exactly 2 arguments (1 given)
These two issues should both be covered by unittests. We have to add the right tests and fix the issues.
Ah, and I think the carpetplot issues are linked to memory shortage... The job gets killed after some time.
The No objects to concatenate
issue is caused by a sensor (smart-main) without data. I think applying the new method to check if a sensor uberhaupt has data is a good solution.
The commit you did (removing the first
, re-introduces the old pandas warnings. I think replacing first
by mean
, might also fix it.
No, it doesn't. With mean()
you get a value (and you get an AttributeError: numpy.float64 has no attribute 'index'
What version of pandas are you using here?
I propose to close this issue as the carpetplots are back and issues seem to be solved.
All carpet plots on the website are clear blue. This probably has something to do with the recent version updates