def test_widget_load_column_pivots_client(self):
import perspective
assert perspective.is_libpsp() is False
# behavior should not change for client mode
arrays = [
np.array([
'bar', 'bar', 'bar', 'bar', 'baz', 'baz', 'baz', 'baz', 'foo',
'foo', 'foo', 'foo', 'qux', 'qux', 'qux', 'qux'
]),
np.array([
'one', 'one', 'two', 'two', 'one', 'one', 'two', 'two', 'one',
'one', 'two', 'two', 'one', 'one', 'two', 'two'
]),
np.array([
'X', 'Y', 'X', 'Y', 'X', 'Y', 'X', 'Y', 'X', 'Y', 'X', 'Y',
'X', 'Y', 'X', 'Y'
])
]
tuples = list(zip(*arrays))
index = pd.MultiIndex.from_tuples(tuples,
names=['first', 'second', 'third'])
df_both = pd.DataFrame(np.random.randn(3, 16),
index=['A', 'B', 'C'],
columns=index)
widget = perspective.PerspectiveWidget(df_both)
assert hasattr(widget, "table") is False
assert widget.columns == ['value']
assert widget.column_pivots == ['first', 'second', 'third']
assert widget.row_pivots == ['index']
def test_widget_client_np(self):
import perspective
assert perspective.is_libpsp() is False
data = {"a": np.arange(0, 50)}
widget = perspective.PerspectiveWidget(data)
assert hasattr(widget, "table") is False
assert widget._data == {"a": [i for i in range(50)]}
def test_widget_client_np_structured_array(self):
import perspective
assert perspective.is_libpsp() is False
data = np.array([(1, 2), (3, 4)],
dtype=[("a", "int64"), ("b", "int64")])
widget = perspective.PerspectiveWidget(data)
assert hasattr(widget, "table") is False
assert widget._data == {"a": [1, 3], "b": [2, 4]}
def test_widget_delete_client(self):
import perspective
assert perspective.is_libpsp() is False
data = {"a": np.arange(0, 50)}
widget = perspective.PerspectiveWidget(data)
mocked_post = partial(mock_post, assert_msg={"cmd": "delete"})
widget.delete()
widget.post = MethodType(mocked_post, widget)
def test_widget_client_datetime(self):
import perspective
assert perspective.is_libpsp() is False
data = {"a": [datetime(2020, i, 1, 12, 30, 45) for i in range(1, 13)]}
widget = perspective.PerspectiveWidget(data)
assert hasattr(widget, "table") is False
assert widget._data == {
"a": ["2020-{:02d}-01 12:30:45".format(i) for i in range(1, 13)]
}
def test_widget_client_df_date_object(self):
import perspective
assert perspective.is_libpsp() is False
data = pd.DataFrame({"a": [date(2020, i, 1) for i in range(1, 13)]},
dtype="object")
widget = perspective.PerspectiveWidget(data)
assert hasattr(widget, "table") is False
assert widget._data == {
"index": [i for i in range(12)],
"a": ["2020-{:02d}-01".format(i) for i in range(1, 13)]
}
def test_widget_client_date(self):
import perspective
assert perspective.is_libpsp() is False
data = {"a": [date(2020, i, 1) for i in range(1, 13)]}
widget = perspective.PerspectiveWidget(data)
assert hasattr(widget, "table") is False
# `data` is mutated at this point, so check against the expected
# formatting just to make sure.
assert widget._data == {
"a": ["2020-{:02d}-01".format(i) for i in range(1, 13)]
}
def test_widget_client_np_recarray_date_object(self):
import perspective
assert perspective.is_libpsp() is False
data = np.array([(date(2020, 1, 1), date(2020, 2, 1)),
(date(2020, 3, 1), date(2020, 4, 1))],
dtype=[("a", "object"), ("b", "object")])
widget = perspective.PerspectiveWidget(data)
assert hasattr(widget, "table") is False
assert widget._data == {
"a": ["2020-01-01", "2020-03-01"],
"b": ["2020-02-01", "2020-04-01"]
}
def test_widget_client_np_date_object(self):
import perspective
assert perspective.is_libpsp() is False
data = {
"a": np.array([date(2020, i, 1) for i in range(1, 13)],
dtype="object")
}
widget = perspective.PerspectiveWidget(data)
assert hasattr(widget, "table") is False
assert widget._data == {
"a": ["2020-{:02d}-01".format(i) for i in range(1, 13)]
}
def test_widget_client_replace(self):
import perspective
assert perspective.is_libpsp() is False
data = {"a": np.arange(0, 50)}
new_data = {"a": [1]}
widget = perspective.PerspectiveWidget(data)
mocked_post = partial(mock_post,
assert_msg={
"cmd": "replace",
"data": new_data
})
widget.post = MethodType(mocked_post, widget)
widget.replace(new_data)
assert widget._data is new_data
def test_widget_client_update(self):
import perspective
assert perspective.is_libpsp() is False
data = {"a": np.arange(0, 50)}
comparison_data = {"a": [i for i in range(50)]}
widget = perspective.PerspectiveWidget(data)
mocked_post = partial(mock_post,
assert_msg={
"cmd": "update",
"data": comparison_data
})
widget.post = MethodType(mocked_post, widget)
widget.update(data)
assert hasattr(widget, "table") is False
def test_widget_client_df(self):
import perspective
assert perspective.is_libpsp() is False
data = pd.DataFrame({
"a": np.arange(10),
"b": [True for i in range(10)],
"c": [str(i) for i in range(10)]
})
widget = perspective.PerspectiveWidget(data)
assert hasattr(widget, "table") is False
assert widget._data == {
"index": [i for i in range(10)],
"a": [i for i in range(10)],
"b": [True for i in range(10)],
"c": [str(i) for i in range(10)]
}
def test_widget_client_update_cached(self):
import perspective
assert perspective.is_libpsp() is False
data = {"a": [1, 2]}
widget = perspective.PerspectiveWidget(data)
mocked_post = partial(mock_post,
assert_msg={
"cmd": "update",
"data": data
})
widget.post = MethodType(mocked_post, widget)
widget.update(data)
assert widget._predisplay_update_cache == [data]
widget._displayed = True
widget.update(data)
assert widget._predisplay_update_cache == [data]
def test_widget_client_schema(self):
import perspective
assert perspective.is_libpsp() is False
widget = perspective.PerspectiveWidget({
"a": int,
"b": float,
"c": bool,
"d": date,
"e": datetime,
"f": str
})
assert hasattr(widget, "table") is False
assert widget._data == {
"a": "integer",
"b": "float",
"c": "boolean",
"d": "date",
"e": "datetime",
"f": "string"
}
def test_widget_client_schema_py2_types(self):
import perspective
assert perspective.is_libpsp() is False
if six.PY2:
widget = perspective.PerspectiveWidget({
"a": long, # noqa: F821
"b": float,
"c": bool,
"d": date,
"e": datetime,
"f": unicode # noqa: F821
})
assert hasattr(widget, "table") is False
assert widget._data == {
"a": "integer",
"b": "float",
"c": "boolean",
"d": "date",
"e": "datetime",
"f": "string"
}