ValueError received for the 'x' property of scatter - ZeroMQ live chart

I am new to Plotly and have received the following error when trying to create my first live streaming chart:

Invalid value of type ‘datetime.datetime’ received for the ‘x’ property of scatter

the chart opens in a new browser tab, but no data appears.

It is basically plotting randomly generated data received from another script via a socket connection in the code below. I was wondering if anyone else has had a similar same issue and how they resolved it. I have included the code and traceback below:

Here is the code:

# Streaming Plot with Plotly & ZeroMQ
import zmq
import plotly.plotly as ply
from plotly.graph_objs import *
import configparser
import datetime

# socket communication
context = zmq.Context()
socket = context.socket(zmq.SUB)

socket.setsockopt_string(zmq.SUBSCRIBE, ‘’)

# plotly api tokens
c = configparser.ConfigParser()‘python_config.cfg’)
api_tokens = c[‘plotly’][‘api_tokens’].split(’,’)

# plotly plot preparations
s = Stream(maxpoints=100, token=api_tokens[0])
t = Scatter(x=[], y=[], name=‘tick data’, mode=‘lines+markers’, stream=s)
d = Data([t])
l = Layout(title=‘Algo Tick Data’)
f = Figure(data=d, layout=l)
ply.plot(f, filename=‘algo_example’, auto_open=True)

s0 = ply.Stream(api_tokens[0])

while True:
msg = socket.recv_string()
t =
sym, bid, ask = msg.split()
s0.write({‘x’: t, ‘y’: float(bid)})
print(str(t) + ’ | ’ + msg)

And the traceback:

Traceback (most recent call last):
File “”, line 40, in
s0.write({‘x’: t, ‘y’: float(bid)})
File “C:\Users\mgrif\Miniconda3\envs\finpy\lib\site-packages\plotly\plotly\”, line 668, in write
dummy_obj = copy.deepcopy(Scatter(**stream_object))
File “C:\Users\mgrif\Miniconda3\envs\finpy\lib\site-packages\plotly\”, line 2123, in init
self.x = x if x is not None else v
File “C:\Users\mgrif\Miniconda3\envs\finpy\lib\site-packages\plotly\”, line 2666, in setattr
super(BasePlotlyType, self).setattr(prop, value)
File “C:\Users\mgrif\Miniconda3\envs\finpy\lib\site-packages\plotly\”, line 1301, in x
self[‘x’] = val
File “C:\Users\mgrif\Miniconda3\envs\finpy\lib\site-packages\plotly\”, line 2638, in setitem
self._set_prop(prop, value)
File “C:\Users\mgrif\Miniconda3\envs\finpy\lib\site-packages\plotly\”, line 2868, in _set_prop
val = validator.validate_coerce(val)
File “C:\Users\mgrif\Miniconda3\envs\finpy\lib\site-packages_plotly_utils\”, line 313, in validate_coerce
File “C:\Users\mgrif\Miniconda3\envs\finpy\lib\site-packages_plotly_utils\”, line 216, in raise_invalid_val
Invalid value of type ‘datetime.datetime’ received for the ‘x’ property of scatter
Received value: datetime.datetime(2018, 7, 11, 16, 21, 35, 573446)

The 'x' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series

and I receive the following deprecation warnings …

plotly.graph_objs.Stream is deprecated.
Please replace it with one of the following more specific types

  • plotly.graph_objs.scatter.Stream
  • plotly.graph_objs.area.Stream

plotly.graph_objs.Data is deprecated.
Please replace it with a list or tuple of instances of the following types

  • plotly.graph_objs.Scatter
  • plotly.graph_objs.Bar
  • plotly.graph_objs.Area
  • plotly.graph_objs.Histogram
  • etc.

I’m not sure what the Value error above is complaining about. The value returned looks suspiciously like a tuple to me.

Many Thanks,

Did you find a solution to this? I am having the same problem…

I was following the tutorial:

Yes I did fortunately. Downgrade Plotly from v3 to v2.4.0. There’s still too many bugs with v3

Hi @CptMondo and @tremmert,

I believe what you’re seeing is not a bug, it’s a breaking changes in version 3 described in the migration guide here: data-array-properties-may-not-be-specified-as-scalars.

The x and y properties need to be lists/tuples not scalars. So in your case you need to replace

s0.write({'x': t, 'y': float(bid)})


s0.write({'x': [t], 'y': [float(bid)]})

Also, hopefully the deprecation messages are self-explanatory.


Stream(maxpoints=100, token=api_tokens[0])


scatter.Stream(maxpoints=100, token=api_tokens[0])

and replace

d = Data([t])


d = [t]

Thanks for pointing our the tutorial you found the example in @tremmert , I’ll see if I can file an issue to get it updated.

Hope that helps!