tpqps is a wrapper class for the streaming API of http://plot.ly.
The package is authored and maintained by The Python Quants GmbH. © Dr. Yves J. Hilpisch. MIT License.
The tpqps package is intended as a technological illustration only. It comes with no warranties or representations, to the extent permitted by applicable law.
Installing from source via Git and Github:
git clone https://github.com/yhilpisch/tpqps
cd tpqps
python setup.py install
Using pip in combination with Github:
pip install git+git://github.com/yhilpisch/tpqps
In order to connect to the API, you need to have an account with Plotly (https://plot.ly). Once logged in to you account, you can create an API key and ans streaming API tokens. These are expected to be stored in a configuration file, with a filename of plotly.cfg, for instance, as follows:
[plotly]
user_name = user_name_...
api_key = api_key_...
api_tokens = token1,token2,token3,token4,...
You can then create a streaming plot object as follows.
import tpqpsps = tpqps.tpqps('plotly.cfg', 'Plot Title')[_ for _ in ps.__dir__() if not _.startswith('__')]['user_name',
'api_key',
'api_tokens',
'sources',
'source_id',
'traces',
'data',
'maxpoints',
'token_number',
'context',
'poller',
'title',
'cols',
'rows',
'subplots',
'layout',
'plot_url',
'fig',
'init_plot',
'add_layout',
'add_data_source',
'add_trace',
'set_max_points',
'get_plot_url',
'start_streaming',
'add_socket',
'set_subplot_title',
'set_subplot_specs']
More details will follow that describe the usage of tpqps.