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]
