我试图用可视化的方式可视化交易算法。我有两个数据框:一个是采用我的算法执行的收盘价,另一个是进行交易的框。绿点代表买入,红色代表卖出。我还想要一个菜单,以便能够选择要分析的库存。目前,一切都通过在收盘价之上采取行动来起作用。
问题是:如何在特定位置添加有关点颜色的图例(绿色表示购买,红色表示出售)?
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import plotly.graph_objs as go
import pandas as pd
init_notebook_mode(connected=True)
feed = pd.DataFrame({'AAPL': [100, 120, 130, 120, 150],
'MSFT': [80, 70, 90, 100, 99]}, index = pd.date_range('2018-01-01', '2018-01-05'))
trans = pd.DataFrame({'Symbol': ['AAPL', 'AAPL', 'MSFT', 'MSFT'],
'Amount': [2, 1, 3, 1],
'Action': ['buy', 'sell', 'buy', 'sell'],
'Price': [120, 150, 70, 100],
'Date': [pd.to_datetime(i) for i in ['2018-01-02', '2018-01-05', '2018-01-02', '2018-01-04']]
})
data = []
all_but = dict(label = 'All',
method = 'update',
args = [{'visible': [True] * len(feed.columns.tolist())},
{'title': 'all'}
])
buttonlist = [all_but]
for col in feed.columns.tolist():
stock = go.Scatter(x=feed.index,
y=feed.loc[:, col],
name=col
)
#actions
success = trans.loc[trans.Symbol == col]
actions = go.Scatter(x=success.Date,
y=success.Price,
name='',
mode = 'markers',
text = ['Amount ' + str(amount) for amount in success.Amount],
hoverinfo = 'text',
showlegend=False,
marker = dict(
size=10,
color = ['green' if i == 'buy' else 'red' for i in success.Action]
)
)
data.append(stock)
data.append(actions)
button = dict(label = col,
method = 'update',
args = [{'visible': [col == i for i in feed.columns.tolist() for _ in range(2)]},
{'title': 'title' + col}
])
buttonlist.append(button)
updatemenus = list([
dict(active=-1,
buttons=buttonlist,
)
])
layout = dict(title='Feed', showlegend=True,
updatemenus=updatemenus)
fig = dict(data=data, layout=layout)
iplot(fig)
P.S .:我将很高兴提出关于更简单的方法的建议,就像我是新手一样。
答案 0 :(得分:2)
在带代码改进的plotly论坛上的答案: https://community.plot.ly/t/add-custom-legend-markers-color-to-plotly-python/19635/2