I am recently exploring Plotly and I wonder if there is a way for sharing a plot and let the viewer switch between a logarithmic axis and linear axis.
Any suggestion?
Plotly has a dropdown feature which allows the user to dynamically update the plot styling and/or the traces being displayed. Below is a minimal working example of a plot where the user can switch between a logarithmic and linear scale.
import plotly
import plotly.graph_objs as go
x = [1, 2, 3]
y = [1000, 10000, 100000]
y2 = [5000, 10000, 90000]
trace1 = go.Bar(x=x, y=y, name='trace1')
trace2 = go.Bar(x=x, y=y2, name='trace2', visible=False)
data = [trace1, trace2]
updatemenus = list([
dict(active=1,
buttons=list([
dict(label='Log Scale',
method='update',
args=[{'visible': [True, True]},
{'title': 'Log scale',
'yaxis': {'type': 'log'}}]),
dict(label='Linear Scale',
method='update',
args=[{'visible': [True, False]},
{'title': 'Linear scale',
'yaxis': {'type': 'linear'}}])
]),
)
])
layout = dict(updatemenus=updatemenus, title='Linear scale')
fig = go.Figure(data=data, layout=layout)
plotly.offline.iplot(fig)
I added two traces to the data
list to show how traces can also be added or removed from a plot. This can be controlled by the visible
list in updatemenus
for each button
.