Hey,
I met a problem that when I change my plot type from scatterplot to Splom, there is one subset of the Splom still contains the scatters from scatterplot.
@app.callback(
dash.dependencies.Output('my-scattergram', 'children'),
[dash.dependencies.Input('x_variable', 'value'),
dash.dependencies.Input('y_variable', 'value'),
dash.dependencies.Input('confidence_ellipses', 'value'),
dash.dependencies.Input('choices', 'value'),
dash.dependencies.Input('pairwise', 'value')
])
def plot_graph(x_variable, y_variable, if_ellipses, choices, pairwise):
global default
if not pairwise:
default['x_variable'] = x_variable
default['y_variable'] = y_variable
if not if_ellipses:
default['confidence'] = '0'
else:
default['confidence'] = '1'
x1=np.array(df[df['My_Group']==1][x_variable].values)
y1=np.array(df[df['My_Group']==1][y_variable].values)
x2=np.array(df[df['My_Group']==2][x_variable].values)
y2=np.array(df[df['My_Group']==2][y_variable].values)
fig = make_subplots(rows=1, cols=1)
fig.append_trace(go.Scatter(
x=x1,
y=y1,
mode='markers',
marker=dict(color="rgb(0,0,205)"),
name='Group 1',
),
row=1, col=1)
Min_x = min(min(x1),min(x2))
Min_y = min(min(y1),min(y2))
Max_x = max(max(x1),max(x2))
Max_y = max(max(y1),max(y2))
offset_x = 0.1 * Max_x
range_x_min = Min_x - offset_x
range_x_max = Max_x + offset_x
offset_y = 0.1 * Max_y
range_y_min = Min_y - offset_y
range_y_max = Max_y + offset_y
fig.layout.xaxis={'visible':True,'title':{'text':x_variable},'range':[range_x_min, range_x_max]}
fig.layout.yaxis={'title':{'text':y_variable},'range':[range_y_min, range_y_max]}
fig.append_trace(go.Scatter(
x=x2,
y=y2,
mode='markers',
marker=dict(color="rgb(255,48,48)"),
name='Group 2'
), row=1, col=1)
if if_ellipses==['1']:
group1 = dataEllipse(x1, y1)
group2 = dataEllipse(x2, y2)
if (group1 is not None) and (group2 is not None):
fig.append_trace(go.Scatter(
x=group1[:,0],
y=group1[:,1],
mode='lines',
line=dict(color='rgb(0,0,205)'),
showlegend=False
), row=1, col=1)
fig.append_trace(go.Scatter(
x=group2[:,0],
y=group2[:,1],
mode='lines',
line=dict(color='rgb(255,48,48)'),
showlegend=False
), row=1, col=1)
else:
pass
else:
if len(choices) <= 1:
return ''
fig = go.Figure(data=go.Splom(
dimensions=[
dict(label=i, values=df[i]) for i in choices
]
))
return dcc.Graph(figure=fig,
style={
'width':800,
'height':800,
'marginLeft':'7cm',
'display': 'inline-block'
})
Below are the screenshots of my result.
