Truss Element Responses (Plotly)

import matplotlib.pyplot as plt
import openseespy.opensees as ops
import opstool as opst
import opstool.vis.plotly as opsvis

opst.load_ops_examples("TrussBridge")  # or your model code here

# add loads
ops.timeSeries("Linear", 1)
ops.pattern("Plain", 1, 1)
ops.load(3, 0.0, 0.0, -15000.0)
ops.load(4, 0.0, 0.0, -15000.0)
ops.load(5, 0.0, 0.0, -15000.0)
ops.load(6, 0.0, 0.0, -15000.0)
ops.load(7, 0.0, 0.0, -15000.0)
ops.load(8, 0.0, 0.0, -15000.0)
ops.load(17, 0.0, 0.0, -15000.0)
ops.load(18, 0.0, 0.0, -15000.0)
ops.load(19, 0.0, 0.0, -15000.0)
ops.load(20, 0.0, 0.0, -15000.0)

fig = opsvis.plot_model(show_nodal_loads=True)
# fig.show(renderer="jupyterlab")
# fig.show(renderer="notebook")
# fig.show(renderer="browser")
# fig.show()  # for auto
# fig.write_html("**.html")

OPSTOOL ::  Model data has been saved to _OPSTOOL_ODB/ModelData-None.nc!

# ------------------------------
# Start of analysis generation
# ------------------------------
# create SOE
Nsteps = 10
ops.system("ProfileSPD")
# create DOF number
ops.numberer("Plain")
# create constraint handler
ops.constraints("Plain")
# create integrator
ops.integrator("LoadControl", 1.0 / Nsteps)
# create algorithm
ops.algorithm("Newton")
# create test
ops.test("NormUnbalance", 1e-8, 10)
# create analysis object
ops.analysis("Static")

ODB = opst.post.CreateODB(odb_tag=1)
for i in range(Nsteps):
    ops.analyze(1)
    ODB.fetch_response_step()
ODB.save_response()

OPSTOOL ::  All responses data with _odb_tag = 1 saved in _OPSTOOL_ODB/RespStepData-1.nc!

opsvis.set_plot_props(cmap="viridis", point_size=1)
fig = opsvis.plot_truss_responses(
    odb_tag=1, resp_type="axialForce", slides=False, step="absMax", alpha=2.0, line_width=4
)
# fig.show(renderer="jupyterlab")
# fig.show(renderer="notebook")
# fig.show(renderer="browser")
fig.show()  # for auto
# fig.write_html("**.html")

OPSTOOL ::  Loading response data from _OPSTOOL_ODB/RespStepData-1.nc ...

Data type cannot be displayed: application/vnd.plotly.v1+json