Plotly:如何向烛台图添加交易量

问题描述

代码:

from plotly.offline import init_notebook_mode, iplot, iplot_mpldef plot_train_test(train, test, date_split):数据 = [Candlestick(x=train.index, open=train['open'], high=train['high'], low=train['low'], close=train['close'],name='火车')，Candlestick(x=test.index, open=test['open'], high=test['high'], low=test['low'], close=test['close'],name='test')]布局 = {形状":[{'x0':date_split，'x1':date_split，'y0':0，'y1':1，'xref':'x'，'yref':'paper'，'line': {'color': 'rgb(0,0,0)', 'width': 1}}],'annotations': [{'x': date_split, 'y': 1.0, 'xref': 'x', 'yref': 'paper', 'showarrow': False, 'xanchor': 'left','text': ' 测试数据'}，{'x': date_split, 'y': 1.0, 'xref': 'x', 'yref': 'paper', 'showarrow': False, 'xanchor': 'right', 'text': '训练数据'}] }图=图(数据=数据，布局=布局)iplot(图)

上面的代码没问题.但是现在我想在这个烛台图表中成交量"

代码:

from plotly.offline import init_notebook_mode, iplot, iplot_mpldef plot_train_test(train, test, date_split):data = [Candlestick(x=train.index, open=train['open'], high=train['high'], low=train['low'], close=train['close'],volume=train['卷']，名称='火车')，Candlestick(x=test.index, open=test['open'], high=test['high'], low=test['low'],close=test['close'],volume=test['volume'],name='测试')]布局 = {形状":[{'x0':date_split，'x1':date_split，'y0':0，'y1':1，'xref':'x'，'yref':'paper'，'line': {'color': 'rgb(0,0,0)', 'width': 1}}],注释":[{'x': date_split, 'y': 1.0, 'xref': 'x', 'yref': 'paper', 'showarrow': False, 'xanchor': 'left','text': '测试数据'},{'x': date_split, 'y': 1.0, 'xref': 'x', 'yref': 'paper', 'showarrow': False, 'xanchor': 'right','文本':'训练数据'}]}图=图(数据=数据，布局=布局)iplot(图)

错误:

ValueError:为类型对象指定的属性无效plotly.graph_objs.Candlestick: '音量'

您还没有提供完整的代码片段和数据示例，所以我将不得不提出一个基于示例的解决方案

完整代码:

导入 plotly.graph_objects从 plotly.subplots 导入 make_subplots将熊猫导入为 pd# 数据df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')# 创建带有辅助 y 轴的图形fig = make_subplots(specs=[[{"secondary_y": True}]])# 包含带有范围选择器的烛台fig.add_trace(go.Candlestick(x=df['Date'],开=df['AAPL.Open']，高=df['AAPL.High']，低=df['AAPL.Low'], 关闭=df['AAPL.Close']),次要_y =真)# 包括卷的 go.Bar 跟踪fig.add_trace(go.Bar(x=df['Date'], y=df['AAPL.Volume']),次要_y=假)fig.layout.yaxis2.showgrid=False图.show()

code:

from plotly.offline import init_notebook_mode, iplot, iplot_mpl
    
def plot_train_test(train, test, date_split):
    data = [Candlestick(x=train.index, open=train['open'], high=train['high'], low=train['low'], close=train['close'],name='train'),
           Candlestick(x=test.index, open=test['open'], high=test['high'], low=test['low'], close=test['close'],name='test')
            ]
            layout = {
                'shapes': [
                    {'x0': date_split, 'x1': date_split, 'y0': 0, 'y1': 1, 'xref': 'x', 'yref': 'paper',
                     'line': {'color': 'rgb(0,0,0)', 'width': 1}}],
                'annotations': [{'x': date_split, 'y': 1.0, 'xref': 'x', 'yref': 'paper', 'showarrow': False, 'xanchor': 'left','text': ' test data'},
                    {'x': date_split, 'y': 1.0, 'xref': 'x', 'yref': 'paper', 'showarrow': False, 'xanchor': 'right', 'text': 'train data '}] }
            figure = Figure(data=data, layout=layout)
            iplot(figure)

The above code is ok.But now I want to 'volume' in this candlestick chart

code:

from plotly.offline import init_notebook_mode, iplot, iplot_mpl
        
def plot_train_test(train, test, date_split):
    data = [Candlestick(x=train.index, open=train['open'], high=train['high'], low=train['low'], close=train['close'],volume=train['volume'],name='train'),
           Candlestick(x=test.index, open=test['open'], high=test['high'], low=test['low'],close=test['close'],volume=test['volume'],name='test')]
            layout = {
                'shapes': [
                    {'x0': date_split, 'x1': date_split, 'y0': 0, 'y1': 1, 'xref': 'x', 'yref': 'paper',
                     'line': {'color': 'rgb(0,0,0)', 'width': 1}}
                ],
                'annotations': [
                    {'x': date_split, 'y': 1.0, 'xref': 'x', 'yref': 'paper', 'showarrow': False, 'xanchor': 'left',
                     'text': ' test data'},
                    {'x': date_split, 'y': 1.0, 'xref': 'x', 'yref': 'paper', 'showarrow': False, 'xanchor': 'right',
                     'text': 'train data '}
                ]
            }
            figure = Figure(data=data, layout=layout)
            iplot(figure) 

error:

ValueError: Invalid property specified for object of type plotly.graph_objs.Candlestick: 'volume'

You haven't provided a complete code snippet with a data sample, so I'm going to have to suggest a solution that builds on an example here.

In any case, you're getting that error message simply because go.Candlestick does not have a Volume attribute. And it might not seem so at first, but you can easily set up go.Candlestick as an individual trace, and then include an individual go.Bar() trace for Volumes using:

1. fig = make_subplots(specs=[[{"secondary_y": True}]])
2. fig.add_traces(go.Candlestick(...), secondary_y=True)
3. fig.add_traces(go.Bar(...), secondary_y=False)

Plot:

Complete code:

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

# data
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')

# Create figure with secondary y-axis
fig = make_subplots(specs=[[{"secondary_y": True}]])

# include candlestick with rangeselector
fig.add_trace(go.Candlestick(x=df['Date'],
                open=df['AAPL.Open'], high=df['AAPL.High'],
                low=df['AAPL.Low'], close=df['AAPL.Close']),
               secondary_y=True)

# include a go.Bar trace for volumes
fig.add_trace(go.Bar(x=df['Date'], y=df['AAPL.Volume']),
               secondary_y=False)

fig.layout.yaxis2.showgrid=False
fig.show()

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