def populate_chk_scatter_matrix(tab, data):
if tab != "explorer":
print(tab)
raise PreventUpdate
df = pd.DataFrame(data)
df["DateAcquired"] = pd.to_datetime(df["DateAcquired"])
numeric_columns = df.select_dtypes(include=np.number).columns
options = T.list_to_dropdown_options(numeric_columns)
return options
{
"value": "add-con",
"label": "Include contaminants"
},
{
"value": "add-rev",
"label": "Include reversed sequences"
},
],
),
html.Button("Update table", id="proteins-update"),
dcc.Loading(proteins_table),
dcc.Dropdown(
id="protein-plot-column",
multi=False,
options=list_to_dropdown_options(plot_columns),
placeholder="Select data columns",
value="Reporter intensity corrected",
style={
"width": "100%",
"max-width": "100%",
"margin-top": "50px",
"margin-bottom": "50px",
},
),
html.Button("Update figure", id="proteins-fig-update"),
dcc.Loading([
html.Div(style={"min-width": 400}),
dcc.Graph(
id="protein-figure",
config=T.gen_figure_config(filename="protein-groups"),
from config import qc_columns_options, qc_columns_default, qc_columns_always
all_columns = qc_columns_default + qc_columns_options + qc_columns_always
res = []
[res.append(x) for x in all_columns if x not in res]
all_columns = res
layout = html.Div([
dcc.Markdown('---'),
html.H2('Explorer'),
dbc.Row([
dbc.Col([
html.Div([
dcc.Dropdown(id='explorer-x',
multi=False,
options=list_to_dropdown_options(all_columns),
placeholder='X-axis',
value=all_columns[0]),
dcc.Dropdown(id='explorer-y',
multi=False,
options=list_to_dropdown_options(all_columns),
placeholder='Y-axis',
value=all_columns[1]),
dcc.Dropdown(id='explorer-color',
multi=False,
options=list_to_dropdown_options(all_columns),
placeholder='Color',
value=all_columns[2]),
dcc.Dropdown(id='explorer-size',
multi=False,
options=list_to_dropdown_options(all_columns),
),
dcc.Tab(
id="tab-explorer",
label="Explorer",
value="explorer",
),
dcc.Tab(label="Proteins", value="proteins"),
],
),
dcc.Markdown("---"),
html.P([
"Choose columns:",
dcc.Dropdown(
id="qc-table-columns",
multi=True,
options=list_to_dropdown_options(
C.qc_columns_options),
placeholder="Select data columns",
value=C.qc_columns_default,
),
]),
html.Button(
"Load Data",
id="qc-update-table",
className="btn",
),
html.Button(
"Clear Selection",
id="qc-clear-selection",
className="btn",
),
html.Button(
def update_dropdowns(data):
cols = pd.DataFrame(data).columns
options = T.list_to_dropdown_options(cols)
return [options] * 6