def tweet_generic_graph(self, data_frame, adapter = default_adapter, type = 'line', gp = None, twitter_msg = None, twitter_on = None):
self.plot_generic_graph(data_frame, type = type, adapter = adapter, gp = gp)
twitter = TwitterPyThalesians()
twitter.auto_set_key()
if twitter_on: twitter.update_status(twitter_msg, picture = gp.file_output)
def tweet_generic_graph(self, data_frame, adapter = default_adapter, type = 'line', gp = None, twitter_msg = None, twitter_on = None):
self.plot_generic_graph(data_frame, type = type, adapter = adapter, gp = gp)
twitter = TwitterPyThalesians()
twitter.auto_set_key()
if twitter_on: twitter.update_status(twitter_msg, picture = gp.file_output)
end = datetime.datetime.utcnow()
start_date = end.replace(hour=0, minute=0, second=0, microsecond=0) # Returns a copy
time_series_request = TimeSeriesRequest(
start_date = start_date, # start date
finish_date = datetime.datetime.utcnow(), # finish date
freq = 'intraday', # intraday data
data_source = 'bloomberg', # use Bloomberg as data source
tickers = ['EURUSD'] , # ticker (Thalesians)
fields = ['close'], # which fields to download
vendor_tickers = ['EURUSD BGN Curncy'], # ticker (Bloomberg)
vendor_fields = ['close'], # which Bloomberg fields to download
cache_algo = 'internet_load_return') # how to return data
ltsf = LightTimeSeriesFactory()
df = ltsf.harvest_time_series(time_series_request)
df.columns = [x.replace('.close', '') for x in df.columns.values]
gp = GraphProperties()
gp.title = 'EURUSD stuff!'
gp.file_output = 'EURUSD.png'
gp.source = 'Thalesians/BBG (created with PyThalesians Python library)'
pf = PlotFactory()
pf.plot_line_graph(df, adapter = 'pythalesians', gp = gp)
pytwitter.update_status("check out my plot of EUR/USD!", picture = gp.file_output)
start_date = end.replace(hour=0, minute=0, second=0,
microsecond=0) # Returns a copy
time_series_request = TimeSeriesRequest(
start_date=start_date, # start date
finish_date=datetime.datetime.utcnow(), # finish date
freq='intraday', # intraday data
data_source='bloomberg', # use Bloomberg as data source
tickers=['EURUSD'], # ticker (Thalesians)
fields=['close'], # which fields to download
vendor_tickers=['EURUSD BGN Curncy'], # ticker (Bloomberg)
vendor_fields=['close'], # which Bloomberg fields to download
cache_algo='internet_load_return') # how to return data
ltsf = LightTimeSeriesFactory()
df = ltsf.harvest_time_series(time_series_request)
df.columns = [x.replace('.close', '') for x in df.columns.values]
gp = GraphProperties()
gp.title = 'EURUSD stuff!'
gp.file_output = 'EURUSD.png'
gp.source = 'Thalesians/BBG (created with PyThalesians Python library)'
pf = PlotFactory()
pf.plot_line_graph(df, adapter='pythalesians', gp=gp)
pytwitter.update_status("check out my plot of EUR/USD!",
picture=gp.file_output)
