PlotLy：无法在子图上绘制烛台图

Question

我正在尝试 plot 3 个子图 PlotLy 图。 从上到下：烛台、法线图、法线图。

这是我的代码：

def chart_strategy(df):

    # Initialize figure with subplots
    fig = make_subplots(rows=3, cols=1)

    fig.add_trace(go.Figure( data = [go.Candlestick( x = df.index,
                                                    open = df['Open'],
                                                    close = df['Close'],
                                                    low = df['Low'],
                                                    high = df['High'])]),
                 row = 1, col = 1)


    fig.add_trace(go.Scatter(x = df.index, y = df['System Quality Number']), row = 2, col = 1)

    fig.add_trace(go.Scatter(x = df.index, y = df['Action']), row = 3, col =1)

    return fig

我收到以下错误：

ValueError: 
Invalid element(s) received for the 'data' property of 
    Invalid elements include: [Figure({
'data': [{'close': array([120.88, 120.93, 120.72, ..., 116.23, 115.78, 115.63]),
          'high': array([121.31, 121.2 , 121.11, ..., 116.86, 116.43, 115.73]),
          'low': array([120.8 , 120.79, 120.48, ..., 115.94, 115.68, 115.32]),
          'open': array([121.  , 120.81, 120.92, ..., 116.36, 116.23, 115.71]),
          'type': 'candlestick',
          'x': array([datetime.datetime(2019, 7, 19, 0, 0),
                      datetime.datetime(2019, 7, 22, 0, 0),
                      datetime.datetime(2019, 7, 23, 0, 0), ...,
                      datetime.datetime(2020, 5, 12, 0, 0),
                      datetime.datetime(2020, 5, 13, 0, 0),
                      datetime.datetime(2020, 5, 14, 0, 0)], dtype=object)}],
'layout': {'template': '...'}})]

The 'data' property is a tuple of trace instances
that may be specified as:
  - A list or tuple of trace instances
    (e.g. [Scatter(...), Bar(...)])
  - A single trace instance
    (e.g. Scatter(...), Bar(...), etc.)
  - A list or tuple of dicts of string/value properties where:
    - The 'type' property specifies the trace type
        One of: ['area', 'bar', 'barpolar', 'box',
                 'candlestick', 'carpet', 'choropleth',
                 'choroplethmapbox', 'cone', 'contour',
                 'contourcarpet', 'densitymapbox', 'funnel',
                 'funnelarea', 'heatmap', 'heatmapgl',
                 'histogram', 'histogram2d',
                 'histogram2dcontour', 'image', 'indicator',
                 'isosurface', 'mesh3d', 'ohlc', 'parcats',
                 'parcoords', 'pie', 'pointcloud', 'sankey',
                 'scatter', 'scatter3d', 'scattercarpet',
                 'scattergeo', 'scattergl', 'scattermapbox',
                 'scatterpolar', 'scatterpolargl',
                 'scatterternary', 'splom', 'streamtube',
                 'sunburst', 'surface', 'table', 'treemap',
                 'violin', 'volume', 'waterfall']

    - All remaining properties are passed to the constructor of
      the specified trace type

    (e.g. [{'type': 'scatter', ...}, {'type': 'bar, ...}])

我试着单独绘制烛台图，效果很好，所以我很漂亮它与行和列部分有关，只是不确定接下来要搜索什么。

我使用以下资源编写此代码： https://plotly.com/python/table-subplots/ https://plotly.com/python/candlestick-charts/

Answer 1

问题是您如何添加第一个跟踪。 您正在使用：

fig.add_trace(go.Figure( data = [go.Candlestick( x = df.index,...

但应该是：

fig.add_trace(go.Candlestick(x = df.index,...

import numpy as np
import pandas as pd
import plotly.graph_objects as go
from plotly.subplots import make_subplots

N=14
df = pd.DataFrame({'Open': np.random.randint(1,29,N),
                   'Close': np.random.randint(1,29,N),
                   'Low': np.random.randint(1,29,N),
                   'High': np.random.randint(1,29,N),
                   'Action': np.random.choice(['sell', 'buy'],N),
                   'System Quality Number': np.random.randint(1,29,N)})


def chart_strategy(df):
    fig = make_subplots(rows=3, cols=1)

    fig.add_trace(go.Candlestick(x = df.index,
                                open = df['Open'],
                                close = df['Close'],
                                low = df['Low'],
                                high = df['High']),
                 row = 1, col = 1)

    fig.add_trace(go.Scatter(x = df.index, y = df['System Quality Number']), 
                             row = 2, col = 1)

    fig.add_trace(go.Scatter(x = df.index, y = df['Action']), row = 3, col =1)

    fig.update_xaxes(row=1, col=1, rangeslider_thickness=0.05)
    fig.update_layout(width=900, height=900)

    return fig

chart_strategy(df)