コード例 #1
0
def test_multiselect():
    data = va_data_source.DataSource(event=test_event_name, season=test_season)
    assert isinstance(data.enum_tasks, list)
    assert len(data.enum_tasks) > 7
    assert 'launchLower' in data.enum_tasks

    oneteam = va_oneteam.OneTeam(data)
    layout = oneteam.layout_1t('2046', ['launchLower'])
コード例 #2
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def test_oneteam():
    data = va_data_source.DataSource(event='test_event_2', season='2020')
    oneteam = va_oneteam.OneTeam(data)
    assert isinstance(oneteam.data.measures, pd.DataFrame)
    assert isinstance(oneteam.data.schedule, pd.DataFrame)
    assert oneteam.data.measures.shape[1] == 20
    assert len(oneteam.list_teams()) > 15
    plot = oneteam.plot_1t('1318')
    assert isinstance(oneteam.df_new_1t('1318'), pd.DataFrame)
コード例 #3
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if sys.argv[1] == 'sql':
    data_source = va_data_source.DataSource(event='wasno',
                                            season='2020')
else:
    data_source = va_data_source.DataSource(fname= 'vif.pickle')

#data_source = va_data_source.DataSource(event='wasno', season='2020')

panels = []

file_manager = va_fm.DataFile(data_source)
panels.append(file_manager.panel_file_management())

# sixteam = va_sixteam.SixTeam(data_source)
# panels.append(sixteam.panel('001-q'))

oneteam_tasks = ['launchOuter', 'climbPosition']
oneteam = va_oneteam.OneTeam(data_source)
panels.append(oneteam.panel_1t('1318', ['launchOuter', 'launchLower']))

rankingtable = va_rankingtable.rankingTable(data_source)
panels.append(rankingtable.panel())

pointschart = va_pointschart.pointsChart(rankingtable.df_ranktable())
panels.append(pointschart.panel())

tabs = bk_models.Tabs(tabs=panels)
bk_plt.curdoc().add_root(tabs)


コード例 #4
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def test_panel():
    data = va_data_source.DataSource(event=test_event_name, season=test_season)
    oneteam = va_oneteam.OneTeam(data)
    panel = oneteam.panel_1t('1318', ['launchOuter', 'climbPosition'])
コード例 #5
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def test_noshow():
    data = va_data_source.DataSource(event='test_event_2', season='2020')
    oneteam = va_oneteam.OneTeam(data)
    plot = oneteam.total_1t('1318', ['noShow'])