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_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_expanded_content_pagination():
df = makeMixedDataFrame()
table = Tabulator(df,
expanded=[0, 1],
row_content=lambda r: r.A,
pagination='remote',
page_size=2)
model = table.get_root()
assert len(model.children) == 2
table.page = 2
assert len(model.children) == 0
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]').astype(np.int64) / 10e5
}
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]').astype(np.int64) / 10e5
}
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]').astype(np.int64) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])