本文整理汇总了Python中pythalesians.graphics.graphs.graphproperties.GraphProperties.plotly_username方法的典型用法代码示例。如果您正苦于以下问题：Python GraphProperties.plotly_username方法的具体用法？Python GraphProperties.plotly_username怎么用？Python GraphProperties.plotly_username使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pythalesians.graphics.graphs.graphproperties.GraphProperties的用法示例。
在下文中一共展示了GraphProperties.plotly_username方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: LightTimeSeriesFactory
# 需要导入模块: from pythalesians.graphics.graphs.graphproperties import GraphProperties [as 别名]
# 或者: from pythalesians.graphics.graphs.graphproperties.GraphProperties import plotly_username [as 别名]
vendor_fields = ['Close'], # which Bloomberg fields to download
cache_algo = 'internet_load_return') # how to return data
ltsf = LightTimeSeriesFactory()
tsc = TimeSeriesCalcs()
df = tsc.create_mult_index_from_prices(ltsf.harvest_time_series(time_series_request))
gp = GraphProperties()
gp.title = "S&P500 vs Apple"
# plot first with PyThalesians and then Plotly (via Cufflinks)
# just needs 1 word to change
# (although, note that AdapterCufflinks does have some extra parameters that can be set in
# GraphProperties)
gp.plotly_username = 'thalesians'
gp.plotly_world_readable = True
pf = PlotFactory()
pf.plot_generic_graph(df, type = 'line', adapter = 'pythalesians', gp = gp)
pf.plot_generic_graph(df, type = 'line', adapter = 'cufflinks', gp = gp)
# test simple Plotly bar charts - average differences in EURUSDV1M-1Y vol and USDJPYV1M-1Y slope over past sixth months
if True:
from datetime import timedelta
ltsf = LightTimeSeriesFactory()
end = datetime.datetime.utcnow()
start = end - timedelta(days=180)
tickers = ['EURUSDV1M', 'EURUSDV1Y', 'USDJPYV1M', 'USDJPYV1Y']示例2: LightTimeSeriesFactory
# 需要导入模块: from pythalesians.graphics.graphs.graphproperties import GraphProperties [as 别名]
# 或者: from pythalesians.graphics.graphs.graphproperties.GraphProperties import plotly_username [as 别名]
cache_algo="internet_load_return",
) # how to return data
ltsf = LightTimeSeriesFactory()
tsc = TimeSeriesCalcs()
df = tsc.create_mult_index_from_prices(ltsf.harvest_time_series(time_series_request))
gp = GraphProperties()
gp.title = "S&P500 vs Apple"
# plot first with PyThalesians and then Plotly (via Cufflinks)
# just needs 1 word to change
# (although, note that AdapterCufflinks does have some extra parameters that can be set in
# GraphProperties)
gp.plotly_username = "thalesians"
gp.plotly_world_readable = True
pf = PlotFactory()
pf.plot_generic_graph(df, type="line", adapter="pythalesians", gp=gp)
pf.plot_generic_graph(df, type="line", adapter="cufflinks", gp=gp)
# test simple Plotly bar charts - average differences in EURUSDV1M-1Y vol and USDJPYV1M-1Y slope over past sixth months
if True:
from datetime import timedelta
ltsf = LightTimeSeriesFactory()
end = datetime.datetime.utcnow()
start = end - timedelta(days=180)