如何使用 Candlestick 从 plotly (Python) 制作动画

Question

尊敬的，

我可以用 plotly 的烛台制作图。 但是，在一个循环中，如何使这些图形不是一个在另一个之下，而是全部在一个图形中？创建动画效果。 请参阅我在 5 天前的窗口中绘制蜡烛的示例，依次遍历整个 DataFrame。

import plotly.graph_objects as go
import pandas as pd

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

#df
#i         Date   AAPL.Open   AAPL.High    AAPL.Low  AAPL.Close  AAPL.Volume  \
#0    2015-02-17  127.489998  128.880005  126.919998  127.830002     63152400   
#1    2015-02-18  127.629997  128.779999  127.449997  128.720001     44891700  
#....

for index, row in df.iterrows():

    FiveDaysBlock = df.iloc[index:(index+5),]

    fig = go.Figure(data=[go.Candlestick(
    x=FiveDaysBlock['Date'],
    open=FiveDaysBlock['AAPL.Open'], high=FiveDaysBlock['AAPL.High'],
    low=FiveDaysBlock['AAPL.Low'], close=FiveDaysBlock['AAPL.Close']
    )])
    fig.update_layout(xaxis_rangeslider_visible=False)
    fig.update_layout(autosize=False,width=700, height=250, margin=dict( l=1,r=1,b=20,  t=20, pad=2 ) )
    fig.update_xaxes(rangebreaks=[dict(bounds=["sat", "mon"])])
    fig.show()

See how the figure is generated under the other

谢谢，

Answer 1

这几天我也在尝试做同样的事情，最后我做到了：

这里的代码：

https://github.com/matiaslee/candlestick_animation_with_plotly/blob/main/candlestick_animation_with_plotly.ipynb

最好的！

Answer 2

不幸的是，根据以下 [answer][1]，似乎使用 go.Candlestick() 对象禁用了 x 轴和 y 轴自动缩放，因此轴无法在动画进行时正确缩放.

import plotly.graph_objects as go
import datetime as dt
import pandas as pd
from ipywidgets import widgets
from IPython.display import display

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

#df
#i         Date   AAPL.Open   AAPL.High    AAPL.Low  AAPL.Close  AAPL.Volume  \
#0    2015-02-17  127.489998  128.880005  126.919998  127.830002     63152400   
#1    2015-02-18  127.629997  128.779999  127.449997  128.720001     44891700  
#....

# it might be useful to convert the Dates to datetime objects
df['Date'] = pd.to_datetime(df['Date'])

candlestick_data = []
for index, row in df.iterrows():
    FiveDaysBlock = df.iloc[index:(index+5),]
    candlestick_data.append(go.Candlestick(x=FiveDaysBlock['Date'],
        open=FiveDaysBlock['AAPL.Open'], high=FiveDaysBlock['AAPL.High'],
        low=FiveDaysBlock['AAPL.Low'], close=FiveDaysBlock['AAPL.Close'])
    )

def update_fig(i):
    fig = go.Figure(data=candlestick_data[i])

    fig.update_layout(xaxis_rangeslider_visible=False)
    fig.update_layout(transition_duration=2000)
    fig.update_layout(autosize=True,width=700, height=250, margin=dict(l=1,r=1,b=20,t=20,pad=2))

# this doesn't quite work but it's close
interact(update_fig, i=100)
fig.show()