The documentation explains how to use different line shapes/interpolation in scatter plots:
I would like to use the same feature, using go.Scattergl instead of go.Scatter. The code used is:
import plotly.plotly as py
import plotly.graph_objs as go
trace1 = go.Scattergl(
x=[1, 2, 3, 4, 5],
y=[1, 3, 2, 3, 1],
mode='lines+markers',
name="'linear'",
hoverinfo='name',
line=dict(
shape='linear'
)
)
trace2 = go.Scattergl(
x=[1, 2, 3, 4, 5],
y=[6, 8, 7, 8, 6],
mode='lines+markers',
name="'spline'",
text=["tweak line smoothness<br>with 'smoothing' in line object"],
hoverinfo='text+name',
line=dict(
shape='spline'
)
)
trace3 = go.Scattergl(
x=[1, 2, 3, 4, 5],
y=[11, 13, 12, 13, 11],
mode='lines+markers',
name="'vhv'",
hoverinfo='name',
line=dict(
shape='vhv'
)
)
trace4 = go.Scattergl(
x=[1, 2, 3, 4, 5],
y=[16, 18, 17, 18, 16],
mode='lines+markers',
name="'hvh'",
hoverinfo='name',
line=dict(
shape='hvh'
)
)
trace5 = go.Scattergl(
x=[1, 2, 3, 4, 5],
y=[21, 23, 22, 23, 21],
mode='lines+markers',
name="'vh'",
hoverinfo='name',
line=dict(
shape='vh'
)
)
trace6 = go.Scattergl(
x=[1, 2, 3, 4, 5],
y=[26, 28, 27, 28, 26],
mode='lines+markers',
name="'hv'",
hoverinfo='name',
line=dict(
shape='hv'
)
)
data = [trace1, trace2, trace3, trace4, trace5, trace6]
layout = dict(
legend=dict(
y=0.5,
traceorder='reversed',
font=dict(
size=16
)
)
)
fig = dict(data=data, layout=layout)
py.iplot(fig, filename='line-shapes')
However, when run, the code above return an error, saying that
ValueError: Invalid property specified for object of type plotly.graph_objs.scattergl.Line: ‘shape’
Valid properties:
color
Sets the line color.
dash
Sets the style of the lines.
width
Sets the line width (in px).
Question: Is this because Scattergl does not support this feature yet? Is not intended to support this feature in the future? Or is it just due to an outdated install on my side?