def test_tabulator_config_editor_string(document, comm): df = makeMixedDataFrame() table = Tabulator(df, editors={'B': 'select'}) model = table.get_root(document, comm) assert model.configuration['columns'][2] == {'field': 'B', 'editor': 'select'}
def test_tabulator_config_formatter_dict(document, comm): df = makeMixedDataFrame() table = Tabulator(df, formatters={'B': {'type': 'tickCross', 'tristate': True}}) model = table.get_root(document, comm) assert model.configuration['columns'][2] == {'field': 'B', 'formatter': 'tickCross', 'formatterParams': {'tristate': True}}
def test_tabulator_config_editor_dict(document, comm): df = makeMixedDataFrame() table = Tabulator(df, editors={'B': {'type': 'select', 'values': True}}) model = table.get_root(document, comm) assert model.configuration['columns'][2] == {'field': 'B', 'editor': 'select', 'editorParams': {'values': True}}
def test_tabulator_config_formatter_string(document, comm): df = makeMixedDataFrame() table = Tabulator(df, formatters={'B': 'tickCross'}) model = table.get_root(document, comm) assert model.configuration['columns'][2] == {'field': 'B', 'formatter': 'tickCross'}
def test_tabulator_stream_df_rollover(document, comm): df = makeMixedDataFrame() table = Tabulator(df) model = table.get_root(document, comm) stream_value = pd.Series({'A': 5, 'B': 1, 'C': 'foo6', 'D': dt.datetime(2009, 1, 8)}).to_frame().T table.stream(stream_value, rollover=5) assert len(table.value) == 5 expected = { 'index': np.array([1, 2, 3, 4, 5]), 'A': np.array([1, 2, 3, 4, 5]), 'B': np.array([1, 0, 1, 0, 1]), 'C': np.array(['foo2', 'foo3', 'foo4', 'foo5', 'foo6']), 'D': np.array(['2009-01-02T00:00:00.000000000', '2009-01-05T00:00:00.000000000', '2009-01-06T00:00:00.000000000', '2009-01-07T00:00:00.000000000', '2009-01-08T00:00:00.000000000'], dtype='datetime64[ns]') } for col, values in model.source.data.items(): np.testing.assert_array_equal(values, expected[col])
def test_tabulator_dataframe_replace_data(document, comm): df = makeMixedDataFrame() table = Tabulator(df) model = table.get_root(document, comm) table.value = makeCustomDataframe(2, 2) assert len(model.columns) == 3 c1, c2, c3 = model.columns assert c1.field == 'R0' assert c2.field == 'C_l0_g0' assert c3.field == 'C_l0_g1' assert model.configuration == { 'columns': [{ 'field': 'R0' }, { 'field': 'C_l0_g0' }, { 'field': 'C_l0_g1' }], 'selectable': True, 'dataTree': False } expected = { 'C_l0_g0': np.array(['R0C0', 'R1C0'], dtype=object), 'C_l0_g1': np.array(['R0C1', 'R1C1'], dtype=object), 'R0': np.array(['R_l0_g0', 'R_l0_g1'], dtype=object) } for col, values in model.source.data.items(): np.testing.assert_array_equal(values, expected[col])
def test_tabulator_widget_scalar_filter(document, comm): df = makeMixedDataFrame() table = Tabulator(df) model = table.get_root(document, comm) widget = TextInput(value='foo3') table.add_filter(widget, 'C') expected = { 'index': np.array([2]), 'A': np.array([2]), 'B': np.array([0]), 'C': np.array(['foo3']), 'D': np.array(['2009-01-05T00:00:00.000000000'], dtype='datetime64[ns]') } for col, values in model.source.data.items(): np.testing.assert_array_equal(values, expected[col]) widget.value = 'foo1' expected = { 'index': np.array([0]), 'A': np.array([0]), 'B': np.array([0]), 'C': np.array(['foo1']), 'D': np.array(['2009-01-01T00:00:00.000000000'], dtype='datetime64[ns]') } for col, values in model.source.data.items(): np.testing.assert_array_equal(values, expected[col])
def test_tabulator_groups(document, comm): df = makeMixedDataFrame() table = Tabulator(df, groups={'Number': ['A', 'B'], 'Other': ['C', 'D']}) model = table.get_root(document, comm) assert model.configuration['columns'] == [{ 'field': 'index' }, { 'title': 'Number', 'columns': [{ 'field': 'A' }, { 'field': 'B' }] }, { 'title': 'Other', 'columns': [{ 'field': 'C' }, { 'field': 'D' }] }]
def test_tabulator_patch_ranges(document, comm): df = makeMixedDataFrame() table = Tabulator(df) model = table.get_root(document, comm) table.patch({ 'A': [(slice(0, 5), [5, 4, 3, 2, 1])], 'C': [(slice(0, 3), ['foo3', 'foo2', 'foo1'])] }) expected = { 'index': np.array([0, 1, 2, 3, 4]), 'A': np.array([5, 4, 3, 2, 1]), 'B': np.array([0, 1, 0, 1, 0]), 'C': np.array(['foo3', 'foo2', 'foo1', 'foo4', 'foo5']), 'D': np.array([ '2009-01-01T00:00:00.000000000', '2009-01-02T00:00:00.000000000', '2009-01-05T00:00:00.000000000', '2009-01-06T00:00:00.000000000', '2009-01-07T00:00:00.000000000' ], dtype='datetime64[ns]') } for col, values in model.source.data.items(): np.testing.assert_array_equal(values, expected[col])
def test_tabulator_stream_dataframe(document, comm): df = makeMixedDataFrame() table = Tabulator(df) model = table.get_root(document, comm) stream_value = pd.DataFrame({ 'A': [5, 6], 'B': [1, 0], 'C': ['foo6', 'foo7'], 'D': [dt.datetime(2009, 1, 8), dt.datetime(2009, 1, 9)] }) table.stream(stream_value) assert len(table.value) == 7 expected = { 'index': np.array([0, 1, 2, 3, 4, 5, 6]), 'A': np.array([0, 1, 2, 3, 4, 5, 6]), 'B': np.array([0, 1, 0, 1, 0, 1, 0]), 'C': np.array(['foo1', 'foo2', 'foo3', 'foo4', 'foo5', 'foo6', 'foo7']), 'D': np.array(['2009-01-01T00:00:00.000000000', '2009-01-02T00:00:00.000000000', '2009-01-05T00:00:00.000000000', '2009-01-06T00:00:00.000000000', '2009-01-07T00:00:00.000000000', '2009-01-08T00:00:00.000000000', '2009-01-09T00:00:00.000000000'], dtype='datetime64[ns]') } for col, values in model.source.data.items(): np.testing.assert_array_equal(values, expected[col])
def test_tabulator_styling(document, comm): df = makeMixedDataFrame() table = Tabulator(df) def high_red(value): return 'color: red' if value > 2 else 'color: black' table.style.applymap(high_red, subset=['A']) model = table.get_root(document, comm) assert model.styles == { 0: { 1: [('color', 'black')] }, 1: { 1: [('color', 'black')] }, 2: { 1: [('color', 'black')] }, 3: { 1: [('color', 'red')] }, 4: { 1: [('color', 'red')] } }
def test_tabulator_stream_series_paginated_follow(document, comm): df = makeMixedDataFrame() table = Tabulator(df, pagination='remote', page_size=2) model = table.get_root(document, comm) stream_value = pd.Series({ 'A': 5, 'B': 1, 'C': 'foo6', 'D': dt.datetime(2009, 1, 8) }) table.stream(stream_value, follow=True) assert table.page == 3 assert len(table.value) == 6 expected = { 'index': np.array([4, 5]), 'A': np.array([4, 5]), 'B': np.array([0, 1]), 'C': np.array(['foo5', 'foo6']), 'D': np.array( ['2009-01-07T00:00:00.000000000', '2009-01-08T00:00:00.000000000'], dtype='datetime64[ns]') } for col, values in model.source.data.items(): np.testing.assert_array_equal(values, expected[col])
def test_tabulator_selectable_rows(document, comm): df = makeMixedDataFrame() table = Tabulator(df, selectable_rows=lambda df: list(df[df.A>2].index.values)) model = table.get_root(document, comm) assert model.selectable_rows == [3, 4]
def test_tabulator_frozen_rows(document, comm): df = makeMixedDataFrame() table = Tabulator(df, frozen_rows=[0, -1]) model = table.get_root(document, comm) assert model.frozen_rows == [0, 4] table.frozen_rows = [1, -2] assert model.frozen_rows == [1, 3]
def test_tabulator_pagination_selection(document, comm): df = makeMixedDataFrame() table = Tabulator(df, pagination='remote', page_size=2) model = table.get_root(document, comm) table.selection = [2, 3] assert model.source.selected.indices == [] table.page = 2 assert model.source.selected.indices == [0, 1]
def test_tabulator_frozen_cols(document, comm): df = makeMixedDataFrame() table = Tabulator(df, frozen_columns=['index']) model = table.get_root(document, comm) assert model.configuration['columns'] == [ {'field': 'index', 'frozen': True}, {'field': 'A'}, {'field': 'B'}, {'field': 'C'}, {'field': 'D'} ]
def test_tabulator_config_defaults(document, comm): df = makeMixedDataFrame() table = Tabulator(df) model = table.get_root(document, comm) assert model.configuration['columns'] == [ {'field': 'index'}, {'field': 'A'}, {'field': 'B'}, {'field': 'C'}, {'field': 'D'} ] assert model.configuration['selectable'] == True
def test_tabulator_pagination_selectable_rows(document, comm): df = makeMixedDataFrame() table = Tabulator(df, pagination='remote', page_size=3, selectable_rows=lambda df: list(df.index.values[::2])) model = table.get_root(document, comm) print(table._processed) assert model.selectable_rows == [0, 2] table.page = 2 assert model.selectable_rows == [3]
def test_tabulator_constant_tuple_filter(document, comm): df = makeMixedDataFrame() table = Tabulator(df) model = table.get_root(document, comm) table.add_filter((2, 3), 'A') expected = { 'index': np.array([2, 3]), 'A': np.array([2, 3]), 'B': np.array([0, 1]), 'C': np.array(['foo3', 'foo4']), 'D': np.array(['2009-01-05T00:00:00.000000000', '2009-01-06T00:00:00.000000000'], dtype='datetime64[ns]') } for col, values in model.source.data.items(): np.testing.assert_array_equal(values, expected[col])
def test_tabulator_stream_dataframe_selectable_rows(document, comm): df = makeMixedDataFrame() table = Tabulator(df, selectable_rows=lambda df: list(range(0, len(df), 2))) model = table.get_root(document, comm) assert model.selectable_rows == [0, 2, 4] stream_value = pd.DataFrame({ 'A': [5, 6], 'B': [1, 0], 'C': ['foo6', 'foo7'], 'D': [dt.datetime(2009, 1, 8), dt.datetime(2009, 1, 9)] }) table.stream(stream_value) print(len(table._processed)) assert model.selectable_rows == [0, 2, 4, 6]
def test_tabulator_function_filter(document, comm): df = makeMixedDataFrame() table = Tabulator(df) model = table.get_root(document, comm) widget = TextInput(value='foo3') def filter_c(df, value): return df[df.C.str.contains(value)] table.add_filter(bind(filter_c, value=widget), 'C') expected = { 'index': np.array([2]), 'A': np.array([2]), 'B': np.array([0]), 'C': np.array(['foo3']), 'D': np.array(['2009-01-05T00:00:00.000000000'], dtype='datetime64[ns]') } for col, values in model.source.data.items(): np.testing.assert_array_equal(values, expected[col]) widget.value = 'foo1' expected = { 'index': np.array([0]), 'A': np.array([0]), 'B': np.array([0]), 'C': np.array(['foo1']), 'D': np.array(['2009-01-01T00:00:00.000000000'], dtype='datetime64[ns]') } for col, values in model.source.data.items(): np.testing.assert_array_equal(values, expected[col])
def test_tabulator_pagination(document, comm): df = makeMixedDataFrame() table = Tabulator(df, pagination='remote', page_size=2) model = table.get_root(document, comm) assert model.max_page == 3 assert model.page_size == 2 assert model.page == 1 expected = { 'index': np.array([0, 1]), 'A': np.array([0, 1]), 'B': np.array([0, 1]), 'C': np.array(['foo1', 'foo2']), 'D': np.array(['2009-01-01T00:00:00.000000000', '2009-01-02T00:00:00.000000000'], dtype='datetime64[ns]') } for col, values in model.source.data.items(): np.testing.assert_array_equal(values, expected[col]) table.page = 2 expected = { 'index': np.array([2, 3]), 'A': np.array([2, 3]), 'B': np.array([0., 1.]), 'C': np.array(['foo3', 'foo4']), 'D': np.array(['2009-01-05T00:00:00.000000000', '2009-01-06T00:00:00.000000000'], dtype='datetime64[ns]') } for col, values in model.source.data.items(): np.testing.assert_array_equal(values, expected[col]) table.page_size = 3 table.page = 1 assert model.max_page == 2 expected = { 'index': np.array([0, 1, 2]), 'A': np.array([0, 1, 2]), 'B': np.array([0, 1, 0]), 'C': np.array(['foo1', 'foo2', 'foo3']), 'D': np.array(['2009-01-01T00:00:00.000000000', '2009-01-02T00:00:00.000000000', '2009-01-05T00:00:00.000000000'], dtype='datetime64[ns]') } for col, values in model.source.data.items(): np.testing.assert_array_equal(values, expected[col])
def test_tabulator_empty_table(document, comm): value_df = makeMixedDataFrame() empty_df = pd.DataFrame([], columns=value_df.columns) table = Tabulator(empty_df) table.get_root(document, comm) assert table.value.shape == empty_df.shape table.stream(value_df, follow=True) assert table.value.shape == value_df.shape
def __init__(self, data: pd.DataFrame = DATA, **params): super().__init__(**params) self.data = data self.tabulator = params["tabulator"] = Tabulator( value=self.data.copy(deep=True).iloc[0:10, ], height=400, formatters=TABULATOR_FORMATTERS, sizing_mode="stretch_both", background="salmon", ) self.sizing_mode = "stretch_width" self.height = 950 self.rows_count = len(self.data) self.stream_count = 15 self.reset = self._reset_action self.replace = self._replace_action self.stream = self._stream_action self.patch = self._patch_action self.view = self._create_view() self._update_avg_rating() self.tabulator.param.watch(self._update_avg_rating, "value")
def test_server_thread_pool_bokeh_event(threads): import pandas as pd df = pd.DataFrame([[1, 1], [2, 2]], columns=['A', 'B']) tabulator = Tabulator(df) counts = [] def cb(event, count=[0]): count[0] += 1 counts.append(count[0]) time.sleep(0.5) count[0] -= 1 tabulator.on_edit(cb) port = 6016 serve(tabulator, port=port, threaded=True, show=False) # Wait for server to start time.sleep(1) requests.get(f"http://localhost:{port}/") model = list(tabulator._models.values())[0][0] doc = model.document event = TableEditEvent(model, 'A', 0) with set_curdoc(doc): for _ in range(2): tabulator._server_event(doc, event) # Wait for callbacks to be scheduled time.sleep(1) # Checks whether Tabulator on_edit callback was executed concurrently assert max(counts) == 2
def test_tabulator_paginated_sorted_selection(document, comm): df = makeMixedDataFrame() table = Tabulator(df, pagination='remote', page_size=2) table.sorters = [{'field': 'A', 'dir': 'dec'}] model = table.get_root(document, comm) table.selection = [3] assert model.source.selected.indices == [1] table.selection = [0, 1] assert model.source.selected.indices == [] table.selection = [3, 4] assert model.source.selected.indices == [1, 0] table.selection = [] assert model.source.selected.indices == [] table._process_events({'indices': [0, 1]}) assert table.selection == [4, 3] table._process_events({'indices': [1]}) assert table.selection == [3] table.sorters = [{'field': 'A', 'dir': 'asc'}] table._process_events({'indices': [1]}) assert table.selection == [1]