notebook.community

Edit and run



In [1]:

    
%matplotlib notebook

As described in

https://community.plot.ly/t/tips-for-using-plotly-with-jupyter-notebook-5-0-the-latest-version/4156

Jupyter notebook has an iopub.data_rate_limit set to 10^7, which is usually insufficient for large plots.

It may be sensible to start Jypyter with the option

jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10



In [2]:

    
import os, sys
sys.path.append(os.path.abspath('../../main/python'))



In [3]:

    
import time
import numpy as np
import thalesians.tsa.pypes as pypes
import thalesians.tsa.visual as visual



In [4]:

    
pype = pypes.Pype(pypes.Direction.INCOMING, name='liveplotpype', port=22184); pype









    Out[4]:





Pype(name="liveplotpype", direction=Direction.INCOMING, host="localhost", port=22184)



In [5]:

    
liveplot = visual.LivePlot(keep_last_points=10)
liveplot.ax.plot([], label='mid')
liveplot.ax.plot([], [], '^', ms=12, c='green', label='buy')
liveplot.ax.plot([], [], 'v', ms=12, c='red', label='sell')
liveplot.ax.grid()
liveplot.ax.legend(loc='upper right')
liveplot.ax.set_xlabel('time')
liveplot.ax.set_ylabel('price')
liveplot.ax.set_title('prices')
liveplot.refresh()
for i, price in enumerate(pype):
    liveplot.append(i, [price['mid'], price['buy'], price['sell']])