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Parallel plotting #221

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Parallel plotting #221

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d90fdb8
Attempt to make branch even with tum ens:master
Nov 20, 2018
9d19677
New implementation of scenarios: Use existing base model and modify it
Nov 20, 2018
0dcbb73
fetching current master
Leonhard-B Nov 27, 2018
893d872
Fixed bugs at plotting and improved scenario_new_timeseries
Nov 27, 2018
0854007
Fixed scenario_new_timeseries reverse function; timeseries_number no …
Nov 28, 2018
d25b186
Merge pull request #8 from tum-ens/master
Leonhard-B Nov 28, 2018
518333b
Fixed bug for saving .h5 file with old input data. process_commodity …
Dec 5, 2018
98734ac
Merge branch 'Alternative-Scenarios' of https://github.com/Leonhard-B…
Dec 5, 2018
67ed45a
Repaired indexing and pep8 conformity
Dec 5, 2018
ed4db24
Merge pull request #9 from tum-ens/master
Leonhard-B Dec 5, 2018
675dc02
Merged changes of tum ens master manually into branch and reduced lib…
Dec 5, 2018
949cfca
Resolving differences in documentation
Dec 5, 2018
e4463de
Merging tum master into branch
Dec 7, 2018
47a8fb6
Serialized plotting from .h5 file using multiprocessing
Leonhard-B Dec 14, 2018
9f82478
Removed writing of lp file
Jan 8, 2019
1446c77
Reactivated use of result_cache in get_entity()
Jan 9, 2019
fa53739
Merge branch 'Serialized-Plotting' of https://github.com/Leonhard-B/u…
Jan 9, 2019
d3523bf
Merge branch 'master' of https://github.com/Leonhard-B/urbs into Para…
Feb 3, 2019
f97f3a8
Untangle changes from alternative Scenarios
Feb 3, 2019
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Fixed bug for saving .h5 file with old input data. process_commodity … 
…is still split up into r_in, r_out, r_in_min_fraction and r_out_min_fraction, as used in the model.
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Balz committed Dec 5, 2018
commit 518333bd157dd74000f4f89f0c1f87bdae2ce197
8 changes: 6 additions & 2 deletions urbs/saveload.py
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Expand Up @@ -35,8 +35,12 @@ def save(prob, filename):
prob._result = create_result_cache(prob)

with pd.HDFStore(filename, mode='w') as store:
for name in prob._data.keys():
store['data/'+name] = prob._data[name]
# Search all attributes of prob for those containing the input data
for name in prob.__dict__:
if str(name).find("_dict") > 0:
name_no_dict = name.split("_dict")[0] # remove _dict
store['data/'+name_no_dict] = (pd.DataFrame(getattr(prob,
name), index=[0]))
for name in prob._result.keys():
store['result/'+name] = prob._result[name]

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