When you perform a marvin-query in Marvin, you get a Results object. This page describes the basic usage of Marvin Results. See the marvin-results-ref Reference for a full description of all the methods available.
To perform a simple Query
from marvin.tools.query import Query
q = Query(search_filter='nsa.z < 0.1', return_params=['absmag_g_r'])and to get the Results, use the run method on your Query object. Once your query is run you can access the list of query results from the results attribute.
r = q.run()
# number of results
r.totalcount
2560
# view the results
r.results
<ResultSet(set=1/26, index=0:100, count_in_set=100, total=2560)>
[ResultRow(mangaid=u'1-109394', plate=8082, plateifu=u'8082-9102', ifu_name=u'9102', elpetro_absmag_g_r=1.26038932800293, z=0.0361073),
ResultRow(mangaid=u'1-113208', plate=8618, plateifu=u'8618-3701', ifu_name=u'3701', elpetro_absmag_g_r=1.48788070678711, z=0.0699044),
ResultRow(mangaid=u'1-113219', plate=7815, plateifu=u'7815-9102', ifu_name=u'9102', elpetro_absmag_g_r=0.543312072753906, z=0.0408897),
ResultRow(mangaid=u'1-113375', plate=7815, plateifu=u'7815-9101', ifu_name=u'9101', elpetro_absmag_g_r=0.757579803466797, z=0.028215),
ResultRow(mangaid=u'1-113379', plate=7815, plateifu=u'7815-6101', ifu_name=u'6101', elpetro_absmag_g_r=1.09770011901855, z=0.0171611),
ResultRow(mangaid=u'1-113403', plate=7815, plateifu=u'7815-12703', ifu_name=u'12703', elpetro_absmag_g_r=0.745466232299805, z=0.0715126),
ResultRow(mangaid=u'1-113418', plate=7815, plateifu=u'7815-12704', ifu_name=u'12704', elpetro_absmag_g_r=1.44098854064941, z=0.0430806),
...]The returned object is a ResultSet, which is a fancy list of Python tuple objects containing the results of your query. The representation of the ResultSet indicates some metadata like the total result count, the current set (page) of the total, the current count in the current set, and the array indices out of the total set.
The Results object also contains the Query Datamodel which you can explore. :
r.datamodel
<QueryDataModel release='MPL-4', n_groups=7, n_parameters=565, n_total=0>Alternatively, you can perform it in a single step
from marvin.tools.query import doQuery
q, r = doQuery(search_filter='nsa.z < 0.1')The ResultSet <results/results_set>
Retrieving Results <results/results_retrieve>
Manipulating Results <results/results_manipulate>
Plotting Results <results/results_plot>
Converting your Results <results/results_convert>
Class Inheritance Diagram
marvin.tools.results
Class
marvin.tools.results.Results
marvin.tools.results.ResultSet
Methods
marvin.tools.results.Results.extendSet marvin.tools.results.Results.loop marvin.tools.results.Results.getNext marvin.tools.results.Results.getPrevious marvin.tools.results.Results.getSubset marvin.tools.results.Results.getAll marvin.tools.results.Results.plot marvin.tools.results.Results.hist marvin.tools.results.Results.save marvin.tools.results.Results.restore