How do I highlight an entire trace upon hover in Plotly for Python?
6
I want a trace to be highlighted (color or opacity change) when selected with mouse hover. I have looked into restyle functionality, but it may not be appropriate for my use case.
It looks like this has been discussed on Github, but I'm not sure if it has been resolved/implemented.
Here is an example in Bokeh of what I want to accomplish in Plotly Python:
from bokeh.plotting import figure, show, output_notebook
from bokeh.models import HoverTool
from bokeh.models import ColumnDataSource
output_notebook()
p = figure(plot_width=400, plot_height=400,y_range=(0.2,0.5))
y_vals = [0.22,0.22,0.25,0.25,0.26,0.26,0.27,0.27]
y_vals2 = [y*1.4 for y in y_vals]
x_vals = [0,1,1,2,2,2,2,3]
data_dict = {'x':[x_vals,x_vals],
'y':[y_vals,y_vals2],
'color':["firebrick", "navy"],
'alpha':[0.1, 0.1]}
source = ColumnDataSource(data_dict)
p.multi_line('x','y',source=source,
color='color', alpha='alpha', line_width=4,
hover_line_alpha=1.0,hover_line_color='color')
p.add_tools(HoverTool(show_arrow=True,
line_policy='nearest',
))
show(p)
python plotly
asked Nov 15 '18 at 20:39
scottlittlescottlittle
5,78532546
add a comment |
6
I want a trace to be highlighted (color or opacity change) when selected with mouse hover. I have looked into restyle functionality, but it may not be appropriate for my use case.
It looks like this has been discussed on Github, but I'm not sure if it has been resolved/implemented.
Here is an example in Bokeh of what I want to accomplish in Plotly Python:
from bokeh.plotting import figure, show, output_notebook
from bokeh.models import HoverTool
from bokeh.models import ColumnDataSource
output_notebook()
p = figure(plot_width=400, plot_height=400,y_range=(0.2,0.5))
y_vals = [0.22,0.22,0.25,0.25,0.26,0.26,0.27,0.27]
y_vals2 = [y*1.4 for y in y_vals]
x_vals = [0,1,1,2,2,2,2,3]
data_dict = {'x':[x_vals,x_vals],
'y':[y_vals,y_vals2],
'color':["firebrick", "navy"],
'alpha':[0.1, 0.1]}
source = ColumnDataSource(data_dict)
p.multi_line('x','y',source=source,
color='color', alpha='alpha', line_width=4,
hover_line_alpha=1.0,hover_line_color='color')
p.add_tools(HoverTool(show_arrow=True,
line_policy='nearest',
))
show(p)
python plotly
asked Nov 15 '18 at 20:39
scottlittlescottlittle
5,78532546
Are you trying to use it an IPython notebook or using Dash?
– Maximilian Peters
Dec 27 '18 at 14:10
Jupyter notebook or lab
– scottlittle
Dec 27 '18 at 15:17
add a comment |
6
6
6
3
I want a trace to be highlighted (color or opacity change) when selected with mouse hover. I have looked into restyle functionality, but it may not be appropriate for my use case.
It looks like this has been discussed on Github, but I'm not sure if it has been resolved/implemented.
Here is an example in Bokeh of what I want to accomplish in Plotly Python:
from bokeh.plotting import figure, show, output_notebook
from bokeh.models import HoverTool
from bokeh.models import ColumnDataSource
output_notebook()
p = figure(plot_width=400, plot_height=400,y_range=(0.2,0.5))
y_vals = [0.22,0.22,0.25,0.25,0.26,0.26,0.27,0.27]
y_vals2 = [y*1.4 for y in y_vals]
x_vals = [0,1,1,2,2,2,2,3]
data_dict = {'x':[x_vals,x_vals],
'y':[y_vals,y_vals2],
'color':["firebrick", "navy"],
'alpha':[0.1, 0.1]}
source = ColumnDataSource(data_dict)
p.multi_line('x','y',source=source,
color='color', alpha='alpha', line_width=4,
hover_line_alpha=1.0,hover_line_color='color')
p.add_tools(HoverTool(show_arrow=True,
line_policy='nearest',
))
show(p)
python plotly
asked Nov 15 '18 at 20:39
scottlittlescottlittle
5,78532546
I want a trace to be highlighted (color or opacity change) when selected with mouse hover. I have looked into restyle functionality, but it may not be appropriate for my use case.
It looks like this has been discussed on Github, but I'm not sure if it has been resolved/implemented.
Here is an example in Bokeh of what I want to accomplish in Plotly Python:
from bokeh.plotting import figure, show, output_notebook
from bokeh.models import HoverTool
from bokeh.models import ColumnDataSource
output_notebook()
p = figure(plot_width=400, plot_height=400,y_range=(0.2,0.5))
y_vals = [0.22,0.22,0.25,0.25,0.26,0.26,0.27,0.27]
y_vals2 = [y*1.4 for y in y_vals]
x_vals = [0,1,1,2,2,2,2,3]
data_dict = {'x':[x_vals,x_vals],
'y':[y_vals,y_vals2],
'color':["firebrick", "navy"],
'alpha':[0.1, 0.1]}
source = ColumnDataSource(data_dict)
p.multi_line('x','y',source=source,
color='color', alpha='alpha', line_width=4,
hover_line_alpha=1.0,hover_line_color='color')
p.add_tools(HoverTool(show_arrow=True,
line_policy='nearest',
))
show(p)
python plotly
python plotly
asked Nov 15 '18 at 20:39
scottlittlescottlittle
5,78532546
asked Nov 15 '18 at 20:39
scottlittlescottlittle
5,78532546
edited Dec 19 '18 at 21:53
scottlittle
asked Nov 15 '18 at 20:39
scottlittlescottlittle
5,78532546
asked Nov 15 '18 at 20:39
scottlittlescottlittle
5,78532546
asked Nov 15 '18 at 20:39
scottlittlescottlittle
5,78532546
5,78532546
Are you trying to use it an IPython notebook or using Dash?
– Maximilian Peters
Dec 27 '18 at 14:10
Jupyter notebook or lab
– scottlittle
Dec 27 '18 at 15:17
add a comment |
Are you trying to use it an IPython notebook or using Dash?
– Maximilian Peters
Dec 27 '18 at 14:10
Jupyter notebook or lab
– scottlittle
Dec 27 '18 at 15:17
Are you trying to use it an IPython notebook or using Dash?
– Maximilian Peters
Dec 27 '18 at 14:10
Are you trying to use it an IPython notebook or using Dash?
– Maximilian Peters
Dec 27 '18 at 14:10
Jupyter notebook or lab
– scottlittle
Dec 27 '18 at 15:17
Jupyter notebook or lab
– scottlittle
Dec 27 '18 at 15:17
add a comment |
1 Answer
1
active
oldest
votes
2
+50
You can use Plotly's FigureWidget functionality.
import plotly.graph_objs as go
import random
f = go.FigureWidget()
f.layout.hovermode = 'closest'
f.layout.hoverdistance = -1 #ensures no "gaps" for selecting sparse data
default_linewidth = 2
highlighted_linewidth_delta = 2
# just some traces with random data points
num_of_traces = 5
random.seed = 42
for i in range(num_of_traces):
y = [random.random() + i / 2 for _ in range(100)]
trace = go.Scatter(y=y, mode='lines', line={ 'width': default_linewidth })
f.add_trace(trace)
# our custom event handler
def update_trace(trace, points, selector):
# this list stores the points which were clicked on
# in all but one event they it be empty
if len(points.point_inds) > 0:
for i in range( len(f.data) ):
f.data[i]['line']['width'] = default_linewidth + highlighted_linewidth_delta * (i == points.trace_index)
# we need to add the on_click event to each trace separately
for i in range( len(f.data) ):
f.data[i].on_click(update_trace)
# let's show the figure
f
edited Jan 14 at 19:59
scottlittle
5,78532546
answered Dec 27 '18 at 17:38
Maximilian PetersMaximilian Peters
15.5k63353
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
2
+50
You can use Plotly's FigureWidget functionality.
import plotly.graph_objs as go
import random
f = go.FigureWidget()
f.layout.hovermode = 'closest'
f.layout.hoverdistance = -1 #ensures no "gaps" for selecting sparse data
default_linewidth = 2
highlighted_linewidth_delta = 2
# just some traces with random data points
num_of_traces = 5
random.seed = 42
for i in range(num_of_traces):
y = [random.random() + i / 2 for _ in range(100)]
trace = go.Scatter(y=y, mode='lines', line={ 'width': default_linewidth })
f.add_trace(trace)
# our custom event handler
def update_trace(trace, points, selector):
# this list stores the points which were clicked on
# in all but one event they it be empty
if len(points.point_inds) > 0:
for i in range( len(f.data) ):
f.data[i]['line']['width'] = default_linewidth + highlighted_linewidth_delta * (i == points.trace_index)
# we need to add the on_click event to each trace separately
for i in range( len(f.data) ):
f.data[i].on_click(update_trace)
# let's show the figure
f
edited Jan 14 at 19:59
scottlittle
5,78532546
answered Dec 27 '18 at 17:38
Maximilian PetersMaximilian Peters
15.5k63353
add a comment |
2
+50
You can use Plotly's FigureWidget functionality.
import plotly.graph_objs as go
import random
f = go.FigureWidget()
f.layout.hovermode = 'closest'
f.layout.hoverdistance = -1 #ensures no "gaps" for selecting sparse data
default_linewidth = 2
highlighted_linewidth_delta = 2
# just some traces with random data points
num_of_traces = 5
random.seed = 42
for i in range(num_of_traces):
y = [random.random() + i / 2 for _ in range(100)]
trace = go.Scatter(y=y, mode='lines', line={ 'width': default_linewidth })
f.add_trace(trace)
# our custom event handler
def update_trace(trace, points, selector):
# this list stores the points which were clicked on
# in all but one event they it be empty
if len(points.point_inds) > 0:
for i in range( len(f.data) ):
f.data[i]['line']['width'] = default_linewidth + highlighted_linewidth_delta * (i == points.trace_index)
# we need to add the on_click event to each trace separately
for i in range( len(f.data) ):
f.data[i].on_click(update_trace)
# let's show the figure
f
edited Jan 14 at 19:59
scottlittle
5,78532546
answered Dec 27 '18 at 17:38
Maximilian PetersMaximilian Peters
15.5k63353
add a comment |
2
+50
2
+50
2
+50
You can use Plotly's FigureWidget functionality.
import plotly.graph_objs as go
import random
f = go.FigureWidget()
f.layout.hovermode = 'closest'
f.layout.hoverdistance = -1 #ensures no "gaps" for selecting sparse data
default_linewidth = 2
highlighted_linewidth_delta = 2
# just some traces with random data points
num_of_traces = 5
random.seed = 42
for i in range(num_of_traces):
y = [random.random() + i / 2 for _ in range(100)]
trace = go.Scatter(y=y, mode='lines', line={ 'width': default_linewidth })
f.add_trace(trace)
# our custom event handler
def update_trace(trace, points, selector):
# this list stores the points which were clicked on
# in all but one event they it be empty
if len(points.point_inds) > 0:
for i in range( len(f.data) ):
f.data[i]['line']['width'] = default_linewidth + highlighted_linewidth_delta * (i == points.trace_index)
# we need to add the on_click event to each trace separately
for i in range( len(f.data) ):
f.data[i].on_click(update_trace)
# let's show the figure
f
edited Jan 14 at 19:59
scottlittle
5,78532546
answered Dec 27 '18 at 17:38
Maximilian PetersMaximilian Peters
15.5k63353
You can use Plotly's FigureWidget functionality.
import plotly.graph_objs as go
import random
f = go.FigureWidget()
f.layout.hovermode = 'closest'
f.layout.hoverdistance = -1 #ensures no "gaps" for selecting sparse data
default_linewidth = 2
highlighted_linewidth_delta = 2
# just some traces with random data points
num_of_traces = 5
random.seed = 42
for i in range(num_of_traces):
y = [random.random() + i / 2 for _ in range(100)]
trace = go.Scatter(y=y, mode='lines', line={ 'width': default_linewidth })
f.add_trace(trace)
# our custom event handler
def update_trace(trace, points, selector):
# this list stores the points which were clicked on
# in all but one event they it be empty
if len(points.point_inds) > 0:
for i in range( len(f.data) ):
f.data[i]['line']['width'] = default_linewidth + highlighted_linewidth_delta * (i == points.trace_index)
# we need to add the on_click event to each trace separately
for i in range( len(f.data) ):
f.data[i].on_click(update_trace)
# let's show the figure
f
edited Jan 14 at 19:59
scottlittle
5,78532546
answered Dec 27 '18 at 17:38
Maximilian PetersMaximilian Peters
15.5k63353
edited Jan 14 at 19:59
scottlittle
5,78532546
edited Jan 14 at 19:59
scottlittle
5,78532546
edited Jan 14 at 19:59
scottlittle
5,78532546
5,78532546
answered Dec 27 '18 at 17:38
Maximilian PetersMaximilian Peters
15.5k63353
answered Dec 27 '18 at 17:38
Maximilian PetersMaximilian Peters
15.5k63353
answered Dec 27 '18 at 17:38
Maximilian PetersMaximilian Peters
15.5k63353
15.5k63353
add a comment |
add a comment |
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Are you trying to use it an IPython notebook or using Dash?
– Maximilian Peters
Dec 27 '18 at 14:10
Jupyter notebook or lab
– scottlittle
Dec 27 '18 at 15:17