I'm trying to create a specific plot with Python and Plotly. I was wondering if it's possible to create a plot with 3 subplots arranged vertically (https://plot.ly/python/subplots/) that have a shared x-axis, along with a range slider that controls the x-axis (https://plot.ly/python/range-slider/)?
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2 Answers
As of Jan 2017 you cannot do this, see here: https://github.com/plotly/plotly.js/issues/1250
answered Jan 21, 2017 at 1:52
Maximilian Peters
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1 Comment
user7435037
I'm sorry, I'm don't understand why it's not possible anymore.
Today, Jan 24th 2017, I have managed to create stacked plots that share one x-axis, in combination with a range slider. However, the problem is that the range of the y-axis is automatically set. I cannot control it. This is a plroblem for me. My code is:
trace_1 = go.Scatter(
x=time_station1,
y=turb_station1,
mode = 'lines+markers',
name = 'Turbidity',
connectgaps = False,
marker = dict(
size = 5,
color = 'rgb(64, 97, 139)',
line = dict(
width = 1,
color = 'rgb(64, 97, 139)'
)
)
)
trace_2 = go.Scatter(
x=time_station1,
y=battery_station1,
yaxis='y2',
mode = 'lines+markers',
name = 'Battery',
connectgaps = False,
marker = dict(
size = 5,
color = 'rgb(117, 15, 7)',
line = dict(
width = 1,
color = 'rgb(117, 15, 7)'
)
)
)
trace_3 = go.Scatter(
x=time_station1,
y=cond_station1,
yaxis='y3',
mode = 'lines+markers',
name = 'Conductivity',
connectgaps = False,
marker = dict(
size = 5,
color = 'rgb(130, 0, 132)',
line = dict(
width = 1,
color = 'rgb(130, 0, 132)'
)
)
)
trace_4 = go.Scatter(
x=time_station1,
y=depth_station1,
yaxis='y4',
mode = 'lines+markers',
name = 'Depth',
connectgaps = False,
marker = dict(
size = 5,
color = 'rgb(204, 100, 0)',
line = dict(
width = 1,
color = 'rgb(204, 100, 0)'
)
)
)
trace_5 = go.Scatter(
x=time_station1,
y=temp_station1,
yaxis='y5',
mode = 'lines+markers',
name = 'Temperature',
connectgaps = False,
marker = dict(
size = 5,
color = 'rgb(255, 255, 0)',
line = dict(
width = 1,
color = 'rgb(255, 255, 0)'
)
)
)
layout = go.Layout(
title='Station ABC',
xaxis = dict(
rangeselector=dict(
buttons = list([
dict(count=1,
label='1min',
step='minute',
stepmode='backward'),
dict(count=24,
label='24h',
step='hour',
stepmode='backward'),
])
),
rangeslider=dict(),
type='date',
title='Date and Time'
),
yaxis=dict(
domain=[0,0.15]),
yaxis2=dict(
domain=[0.2,0.35]),
yaxis3=dict(
domain=[0.4,0.55]),
yaxis4=dict(
domain=[0.4,0.75]),
yaxis5=dict(
domain=[0.8,1]),
)
data = [trace_1, trace_2, trace_3, trace_4, trace_5]
plot_url = py.plot(fig, filename='offline plot.html')