I have a grouped bar chart that I’m pushing updates to via the streaming API once a second, and the bars are named ‘D1’, ‘D2’, ‘D2’, ‘D3’, ‘D4’, and ‘D5’. I want the bars to show up in the axes in that order. However, when the chart updates sometimes the order changes (D2 D3 D4 D5 D1), which is very confusing visually. This is the python code for the plot:
trace1 = go.Bar( x=['D1', 'D2', 'D3', 'D4', 'D5'],
y=[],
name='actual throughput',
stream=stream_1) # (!) embed stream id, 1 per trace
trace2 = go.Bar( x=['D1', 'D2', 'D3', 'D4', 'D5'],
y=[],
name='predicted throughput (before)',
stream=stream_2) # (!) embed stream id, 1 per trace
data = go.Data([trace1, trace2])
layout = go.Layout(barmode='group', title='Points n Stuff')
fig = go.Figure(data=data, layout=layout)
py.plot(fig, filename='python-streaming')
And this is the code for the streaming updates:
stream_ids = tls.get_credentials_file()['stream_ids']
stream_1 = go.Stream( token=stream_ids[0])
stream_2 = go.Stream( token=stream_ids[1])
s1 = py.Stream(stream_ids[0])
s2 = py.Stream(stream_ids[1])
#pen connections
s1.open()
s2.open()
i = 0 # a counter
k = 5 # some shape parameter
Ds = ['D1', 'D2', 'D3', 'D4', 'D5']
while True:
# Ds on x-axis, random numbers on y-axis
for x in Ds:
# Send random data to plot
s1.write(dict(x=x, y = abs((np.cos(k*i/50.)*np.cos(i/50.)+np.random.randn(1))[0])))
s2.write(dict(x=x, y = abs((np.cos(k*i/50.)*np.cos(i/50.)+np.random.randn(1))[0])))
time.sleep(1) # plot a point every second
# Close the streams when done plotting
s1.close()
s2.close()
Is there anything I can do to force the x-axis ordering to be fixed?
Thanks!
Edit: realized I was updating “point by point” instead of sending whole lists at a time. I changed x and y to be lists in the while loop and it solved my problem.