我正在使用plotly 繪制一些帶有SMA 和MACD 數據的圖表。這很好用。fig = make_subplots(vertical_spacing = 0, rows=3, cols=1, row_heights=[0.6, 0.2, 0.2])fig.add_trace(go.Ohlc(x=data['timestamp'], open=data['open'], high=data['high'], low=data['low'], close=data['close']))fig.add_trace(go.Scatter(x=data['timestamp'], y=data['sma'], line=dict(color='orange', width=1)), row=1, col=1)fig.add_trace(go.Scatter(x=data['timestamp'], y = data['macd']), row=2, col=1)fig.add_trace(go.Scatter(x=data['timestamp'], y = data['macds']*1.1), row=2, col=1)fig.add_trace(go.Bar(x=data['timestamp'], y = data['volume']), row=3, col=1)fig.update_layout(xaxis_rangeslider_visible=False, xaxis=dict(zerolinecolor='black', showticklabels=False), xaxis2=dict(showticklabels=False))fig.update_xaxes(showline=True, linewidth=1, linecolor='black', mirror=False)fig.show()但現在我想添加樞軸： last_day['Pivot'] = (last_day['High'] + last_day['Low'] + last_day['Close'])/3 last_day['R1'] = 2*last_day['Pivot'] - last_day['Low'] last_day['S1'] = 2*last_day['Pivot'] - last_day['High'] last_day['R2'] = last_day['Pivot'] + (last_day['High'] - last_day['Low']) last_day['S2'] = last_day['Pivot'] - (last_day['High'] - last_day['Low']) last_day['R3'] = last_day['Pivot'] + 2*(last_day['High'] - last_day['Low']) last_day['S3'] = last_day['Pivot'] - 2*(last_day['High'] - last_day['Low'])last_day 的輸出如下所示： Timestamp Open High Low Close Volume Pivot R1 S1 R2 S2 R3 S3499 2020-10-11T14:45:00.000Z 0.000321 0.000321 0.000319 0.000319 886.17 0.00032 0.000321 0.000319 0.000322 0.000318 0.000323 0.000316如何將此數據（樞軸、S1、S2、S3...）添加到我的圖表中？我想要與這里的圖片類似的東西：https://www.fxpivot-points.com/?page =4我試過這個：fig.add_trace(go.Scatter(x=last_day['Timestamp'], y=last_day['Pivot'], line=dict(color='purple', width=1)), row=1, col=1)但它只畫了一個點，因為我只提供了一個時間戳。我怎樣才能把它變成一條水平線？
1 回答
慕容3067478
TA貢獻1773條經驗 獲得超3個贊
您特別要求僅繪制最后一天的計算點，并在您擁有燭臺圖的整個時間段內顯示它們。如果這實際上是您想要實現的目標，那么下面的代碼片段將生成以下繪圖，其中使用 和fig.add_shapes()分別fig.add_annotations()顯示水平線和樞軸點名稱。
如果有什么地方不太對勁，請告訴我，我們可以討論進一步的調整。
陰謀：
基于Apple示例數據的完整代碼：
import plotly.graph_objects as go
import pandas as pd
from datetime import datetime
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv').tail(5)
fig = go.Figure(data=[go.Candlestick(x=df['Date'],
open=df['AAPL.Open'],
high=df['AAPL.High'],
low=df['AAPL.Low'],
close=df['AAPL.Close'])])
last_day = df.iloc[-1].to_frame().T
last_day = last_day.rename(columns = lambda x: x.replace('AAPL.', ''))
not_pivots = list(last_day.columns)
last_day['Pivot'] = (last_day['High'] + last_day['Low'] + last_day['Close'])/3
last_day['R1'] = 2*last_day['Pivot'] - last_day['Low']
last_day['S1'] = 2*last_day['Pivot'] - last_day['High']
last_day['R2'] = last_day['Pivot'] + (last_day['High'] - last_day['Low'])
last_day['S2'] = last_day['Pivot'] - (last_day['High'] - last_day['Low'])
last_day['R3'] = last_day['Pivot'] + 2*(last_day['High'] - last_day['Low'])
last_day['S3'] = last_day['Pivot'] - 2*(last_day['High'] - last_day['Low'])
last_day
pivots = [n for n in last_day.columns if n not in not_pivots]
pcols = ['green', 'blue', 'blue', 'red', 'red', 'black', 'black']
for i, col in enumerate(pivots):
# horizontal lines
fig.add_shape(type="line",
x0=df['Date'].iloc[0],
y0=last_day[col].iloc[-1],
x1=df['Date'].iloc[-1],
y1=last_day[col].iloc[-1],
line=dict(
color=pcols[i],
width=1,
#dash="dashdot",
),)
# line annotations
fig.add_annotation(dict(font=dict(color=pcols[i],size=12),
x=df['Date'].iloc[0],
y=last_day[col].iloc[0],
showarrow=False,
text=col,
textangle=0,
xanchor='right',
xref="x",
yref="y"))
fig.show()
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