def page_layout(api):
everest_export = api.everest_csv
if everest_export is not None:
plots = [
_crossplot_doc,
{
"Crossplot": {
"data_path": everest_export,
},
},
]
indexed_controls = identify_indexed_controls(api.control_names)
if len(indexed_controls) > 0:
plots.extend([
_crossplot_indexed_doc,
{
"CrossplotIndexed": {
"data_path": everest_export,
}
},
])
return {
"title": "Cross plots",
"content": plots,
}
return ""
def layout(self):
df = get_data(self.data_path)
dropdown_options = list(
identify_indexed_controls(df.columns.unique()).keys())
realizations = df.index.values
axis_type = [(i, i) for i in ["Linear", "Log"]]
axis_options = ["Normal", "Cumulative"]
interp_types = [
("None", None),
("Linear", "linear"),
("High value", "hv"),
("Low value", "vh"),
]
side_bar_config = [
(
"radio",
{
"title": "X-axis",
"item_id": self.axis_type_x_id,
"options": axis_type,
},
),
(
"radio",
{
"item_id": self.axis_options_x_id,
"options": axis_options
},
),
(
"dropdown",
{
"item_id": self.dropdown_x_id,
"options": dropdown_options
},
),
(
"radio",
{
"title": "Y-axis",
"item_id": self.axis_type_y_id,
"options": axis_type,
},
),
(
"radio",
{
"item_id": self.axis_options_y_id,
"options": axis_options
},
),
(
"dropdown",
{
"item_id": self.dropdown_y_id,
"options": dropdown_options
},
),
(
"radio",
{
"title": "Interpolation type",
"item_id": self.interpolation_id,
"options": interp_types,
},
),
(
"dropdown",
{
"item_id": self.dropdown_realization_id,
"options": realizations,
"multi": True,
},
),
]
return html.Div([
html.H1(children=self.title, style={"textAlign": "center"}),
html.Div([
html.Div(
[get_sidebar_layout(side_bar_config)],
style={
"width": "29%",
"display": "inline-block",
"vertical-align": "top",
},
),
html.Div(
[
dcc.Graph(
id=self.graph_id,
config={
"displaylogo": False,
"toImageButtonOptions": {
"filename": "indexed_crossplot"
},
},
)
],
style={
"width": "69%",
"display": "inline-block"
},
),
]),
])
def update_dropwdown_y(selected_control):
df = get_data(self.data_path)
indexed_controls = identify_indexed_controls(df.columns.unique())
return dropdown_callback(selected_control, indexed_controls)
def test_get_indexed_controls(test_input, expected):
result = identify_indexed_controls(test_input)
assert result == expected