def test_timeseries_remove_single_entry(mp):
args_single = ('Douglas Adams', 'test_remove_single')
scen = Scenario(mp, *args_single, version='new', annotation='fo')
scen.add_timeseries(DATA['timeseries'].pivot_table(values='value',
index=IDX_COLS))
scen.commit('importing a testing timeseries')
scen = Scenario(mp, *args_single)
assert_timeseries(scen, DATA['timeseries'])
scen.check_out()
scen.remove_timeseries(DATA['timeseries'][DATA['timeseries'].year == 2010])
scen.commit('testing for removing a single timeseries data point')
exp = DATA['timeseries'][DATA['timeseries'].year == 2020]
assert_timeseries(scen, exp)
def test_timeseries_remove_single_entry(mp):
args_single = ("Douglas Adams", "test_remove_single")
scen = Scenario(mp, *args_single, version="new", annotation="fo")
scen.add_timeseries(DATA["timeseries"].pivot_table(values="value",
index=IDX_COLS))
scen.commit("importing a testing timeseries")
scen = Scenario(mp, *args_single)
assert_timeseries(scen, DATA["timeseries"])
scen.check_out()
scen.remove_timeseries(DATA["timeseries"][DATA["timeseries"].year == 2010])
scen.commit("testing for removing a single timeseries data point")
exp = DATA["timeseries"][DATA["timeseries"].year == 2020]
assert_timeseries(scen, exp)
def test_timeseries_remove_all_data(mp):
args_all = ('Douglas Adams', 'test_remove_all')
scen = Scenario(mp, *args_all, version='new', annotation='fo')
scen.add_timeseries(DATA['timeseries'].pivot_table(values='value',
index=IDX_COLS))
scen.commit('importing a testing timeseries')
scen = Scenario(mp, *args_all)
assert_timeseries(scen, DATA['timeseries'])
exp = DATA['timeseries'].copy()
exp['variable'] = 'Testing2'
scen.check_out()
scen.add_timeseries(exp)
scen.remove_timeseries(DATA['timeseries'])
scen.commit('testing for removing a full timeseries row')
assert scen.timeseries(region='World', variable='Testing').empty
assert_timeseries(scen, exp)
def test_timeseries_remove_all_data(mp):
args_all = ("Douglas Adams", "test_remove_all")
scen = Scenario(mp, *args_all, version="new", annotation="fo")
scen.add_timeseries(DATA["timeseries"].pivot_table(values="value",
index=IDX_COLS))
scen.commit("importing a testing timeseries")
scen = Scenario(mp, *args_all)
assert_timeseries(scen, DATA["timeseries"])
exp = DATA["timeseries"].copy()
exp["variable"] = "Testing2"
scen.check_out()
scen.add_timeseries(exp)
scen.remove_timeseries(DATA["timeseries"])
scen.commit("testing for removing a full timeseries row")
assert scen.timeseries(region="World", variable="Testing").empty
assert_timeseries(scen, exp)