def test_dbmp002_suggestiveline_value(dash_duo):
app = dash.Dash(__name__)
app.layout = html.Div(
nested_component_layout(dash_bio.ManhattanPlot(dataframe=_data)))
nested_component_app_callback(app,
dash_duo,
component=dash_bio.ManhattanPlot,
component_data=_data,
data_prop_name='dataframe',
test_prop_name='suggestiveline_value',
test_prop_value=5,
prop_value_type='int',
take_snapshot=True)
app = dash.Dash(__name__)
app.layout = html.Div(
nested_component_layout(dash_bio.ManhattanPlot(dataframe=_data)))
nested_component_app_callback(app,
dash_duo,
component=dash_bio.ManhattanPlot,
component_data=_data,
data_prop_name='dataframe',
test_prop_name='suggestiveline_value',
test_prop_value=9,
prop_value_type='int',
take_snapshot=True)
def test_dbcl007_hidden_labels(dash_duo):
app = dash.Dash(__name__)
data = _mtcars_data
row_labels = list(_mtcars_data.index)
col_labels = list(_mtcars_data.columns)
app.layout = html.Div(
nested_component_layout(
dash_bio.Clustergram(data=data,
row_labels=row_labels,
column_labels=col_labels)))
nested_component_app_callback(
app,
dash_duo,
component=dash_bio.Clustergram,
component_data=data,
test_prop_name="hidden_labels",
test_prop_value="row",
prop_value_type="string",
)
# ensure that row labels are hidden
assert len(dash_duo.find_elements("g.yaxislayer-above g.y5tick")) == 0
# ensure that column labels are displayed
assert len(dash_duo.find_elements("g.xaxislayer-above g.x5tick")) == len(
col_labels)
# create a new instance of the app to test hiding of column labels
app = dash.Dash(__name__)
app.layout = html.Div(
nested_component_layout(
dash_bio.Clustergram(data=data,
row_labels=row_labels,
column_labels=col_labels)))
nested_component_app_callback(
app,
dash_duo,
component=dash_bio.Clustergram,
component_data=data,
test_prop_name="hidden_labels",
test_prop_value="col",
prop_value_type="string",
)
# ensure that column labels are hidden
assert len(dash_duo.find_elements("g.xaxislayer-above g.x5tick")) == 0
# ensure that row labels are displayed
assert len(dash_duo.find_elements("g.yaxislayer-above g.y5tick")) == len(
row_labels)
def test_dbcl003_row_col_thresholds(dash_duo):
app = dash.Dash(__name__)
app.layout = html.Div(nested_component_layout(
dash_bio.Clustergram(
data=_data
)
))
nested_component_app_callback(
app,
dash_duo,
component=dash_bio.Clustergram,
component_data=_data,
test_prop_name='color_threshold',
test_prop_value=json.dumps({'row': 250, 'col': 700}),
prop_value_type='dict',
take_snapshot=True
)
# there should be two clusters, i.e., two traces, for the column dendrogram
# plus one trace for the background
assert len(dash_duo.find_elements(
'g.subplot.x2y2 > g.plot g.trace.scatter')) == 3
# three clusters for the row dendrogram, plus one for the background
assert len(dash_duo.find_elements(
'g.subplot.x4y4 > g.plot g.trace.scatter')) == 4
def test_dbcl005_row_annotations(dash_duo):
app = dash.Dash(__name__)
app.layout = html.Div(nested_component_layout(
dash_bio.Clustergram(
data=_data
)
))
nested_component_app_callback(
app,
dash_duo,
component=dash_bio.Clustergram,
component_data=_data,
test_prop_name='row_group_marker',
test_prop_value=json.dumps(
[{'group': 2, 'annotation': 'cluster two',
'color': 'rgb(248, 62, 199)'}]),
extra_props={'color_threshold': {'row': 250, 'col': 700}},
prop_value_type='list',
take_snapshot=True
)
# the annotation has shown up
assert len(dash_duo.find_elements('g.subplot.x6y6')) == 1
# the annotation is the correct color
dash_duo.wait_for_style_to_equal(
'g.subplot.x6y6 g.plot g.lines > path', 'stroke', 'rgb(248, 62, 199)')
def test_dbcl003_row_col_thresholds(dash_duo):
app = dash.Dash(__name__)
app.layout = html.Div(
nested_component_layout(dash_bio.Clustergram(data=_data)))
nested_component_app_callback(
app,
dash_duo,
component=dash_bio.Clustergram,
component_data=_data,
test_prop_name="color_threshold",
test_prop_value=json.dumps({
"row": 250,
"col": 700
}),
prop_value_type="dict",
take_snapshot=True,
)
# there should be 9 traces for the column dendrogram
# plus one trace for the background
assert len(
dash_duo.find_elements(
"g.subplot.x2y2 > g.plot g.trace.scatter")) == 10
# 30 traces for the row dendrogram, plus one for the background
assert len(
dash_duo.find_elements(
"g.subplot.x4y4 > g.plot g.trace.scatter")) == 31
def test_dbcl005_row_annotations(dash_duo):
app = dash.Dash(__name__)
app.layout = html.Div(
nested_component_layout(dash_bio.Clustergram(data=_data)))
nested_component_app_callback(
app,
dash_duo,
component=dash_bio.Clustergram,
component_data=_data,
test_prop_name="row_group_marker",
test_prop_value=json.dumps([{
"group": 2,
"annotation": "cluster two",
"color": "rgb(248, 62, 199)"
}]),
extra_props={"color_threshold": {
"row": 250,
"col": 700
}},
prop_value_type="list",
take_snapshot=True,
)
# the annotation has shown up
assert len(dash_duo.find_elements("g.subplot.x6y6")) == 1
# the annotation is the correct color
dash_duo.wait_for_style_to_equal("g.subplot.x6y6 g.plot g.lines > path",
"stroke", "rgb(248, 62, 199)")
def test_dbvp006_test_layout_props(dash_duo):
app = dash.Dash(__name__)
app.layout = html.Div(
nested_component_layout(
dash_bio.VolcanoPlot(
dataframe=_data,
width=600,
legend={
'x': 0.85,
'orientation': 'h',
'yanchor': 'bottom',
'y': 1.02,
'bgcolor': '#f2f5fa'
},
xaxis={"color": "red"},
yaxis={"color": "blue"},
template="simple_white",
)))
nested_component_app_callback(app,
dash_duo,
component=dash_bio.VolcanoPlot,
component_data=_data,
test_prop_name='plot_bgcolor',
test_prop_value='pink',
prop_value_type='string',
data_prop_name='dataframe',
take_snapshot=True)
def test_dbcl002_cluster_by_row_or_col(dash_duo):
app = dash.Dash(__name__)
app.layout = html.Div(nested_component_layout(
dash_bio.Clustergram(
data=_data
)
))
nested_component_app_callback(
app,
dash_duo,
component=dash_bio.Clustergram,
component_data=_data,
test_prop_name='cluster',
test_prop_value='row',
prop_value_type='string'
)
assert len(dash_duo.find_elements('g.subplot.x2y2')) == 0
assert len(dash_duo.find_elements('g.subplot.x4y4')) == 1
# create a new instance of the app to test column clustering
app = dash.Dash(__name__)
app.layout = html.Div(nested_component_layout(
dash_bio.Clustergram(
data=_data
)
))
nested_component_app_callback(
app,
dash_duo,
component=dash_bio.Clustergram,
component_data=_data,
test_prop_name='cluster',
test_prop_value='col',
prop_value_type='string',
take_snapshot=True
)
assert len(dash_duo.find_elements('g.subplot.x4y4')) == 0
assert len(dash_duo.find_elements('g.subplot.x2y2')) == 1
def test_dbmp005_highlight_color(dash_duo):
app = dash.Dash(__name__)
app.layout = html.Div(
nested_component_layout(dash_bio.ManhattanPlot(dataframe=_data)))
nested_component_app_callback(app,
dash_duo,
component=dash_bio.ManhattanPlot,
component_data=_data,
data_prop_name='dataframe',
test_prop_name='highlight_color',
test_prop_value='rgb(76, 184, 254)',
prop_value_type='string',
take_snapshot=True)
def test_dbvp005_effect_size_line_value(dash_duo):
app = dash.Dash(__name__)
app.layout = html.Div(
nested_component_layout(dash_bio.VolcanoPlot(dataframe=_data)))
nested_component_app_callback(app,
dash_duo,
component=dash_bio.VolcanoPlot,
component_data=_data,
test_prop_name='effect_size_line',
test_prop_value=json.dumps([-0.5, 1.5]),
prop_value_type='list',
data_prop_name='dataframe',
take_snapshot=True)
def test_dbvp004_genomewideline_value(dash_duo):
app = dash.Dash(__name__)
app.layout = html.Div(
nested_component_layout(dash_bio.VolcanoPlot(dataframe=_data)))
nested_component_app_callback(app,
dash_duo,
component=dash_bio.VolcanoPlot,
component_data=_data,
test_prop_name='genomewideline_value',
test_prop_value=4,
prop_value_type='int',
data_prop_name='dataframe',
take_snapshot=True)
def test_dbvp002_points_color(dash_duo):
app = dash.Dash(__name__)
app.layout = html.Div(
nested_component_layout(dash_bio.VolcanoPlot(dataframe=_data)))
nested_component_app_callback(app,
dash_duo,
component=dash_bio.VolcanoPlot,
component_data=_data,
test_prop_name='col',
test_prop_value='rgb(12, 254, 42)',
prop_value_type='string',
data_prop_name='dataframe',
take_snapshot=True)
def test_dbcl001_colorscale(dash_duo):
app = dash.Dash(__name__)
app.layout = html.Div(
nested_component_layout(dash_bio.Clustergram(data=_data)))
nested_component_app_callback(
app,
dash_duo,
component=dash_bio.Clustergram,
component_data=_data,
test_prop_name='color_map',
test_prop_value=json.dumps([[0, 'blue'], [0.5, 'yellow'], [1,
'pink']]),
prop_value_type='list',
path_to_test_prop='["data"][2]["colorscale"]',
take_snapshot=True)
def test_dbcl001_colorscale(dash_duo):
app = dash.Dash(__name__)
app.layout = html.Div(
nested_component_layout(dash_bio.Clustergram(data=_data)))
nested_component_app_callback(
app,
dash_duo,
component=dash_bio.Clustergram,
component_data=_data,
test_prop_name="color_map",
test_prop_value=json.dumps([[0, "blue"], [0.5, "yellow"], [1,
"pink"]]),
prop_value_type="list",
path_to_test_prop='["data"][41]["colorscale"]',
take_snapshot=True,
)
def test_dbmp003_genomewide_color(dash_duo):
app = dash.Dash(__name__)
app.layout = html.Div(
nested_component_layout(dash_bio.ManhattanPlot(dataframe=_data)))
nested_component_app_callback(app,
dash_duo,
component=dash_bio.ManhattanPlot,
component_data=_data,
data_prop_name='dataframe',
test_prop_name='genomewideline_color',
test_prop_value='rgb(209, 171, 251)',
prop_value_type='string')
dash_duo.wait_for_style_to_equal(
'#test-graph svg:nth-child(3) g.layer-above g.shapelayer > path:nth-child(2)',
'stroke', 'rgb(209, 171, 251)')
def test_dbcl006_df_input_row_cluster(dash_duo):
app = dash.Dash(__name__)
# run the same test as dbcl002 (row clustering) where table of
# observations (data argument) is left as a DataFrame
assert isinstance(_mtcars_data, pd.DataFrame)
app.layout = html.Div(
nested_component_layout(dash_bio.Clustergram(data=_mtcars_data)))
nested_component_app_callback(app,
dash_duo,
component=dash_bio.Clustergram,
component_data=_data,
test_prop_name='cluster',
test_prop_value='row',
prop_value_type='string')
assert len(dash_duo.find_elements('g.subplot.x2y2')) == 0
assert len(dash_duo.find_elements('g.subplot.x4y4')) == 1
