Pandas JupyterLab fig未显示。它显示空白结果（但在jupyternotebook上运行良好）

我是新来JupyterLab学习的

当我尝试绘制图形时，它在jupyter笔记本上运行良好，但在jupyterlab上不显示结果。有人能帮我吗

以下是代码：

import pandas as pd
import pandas_datareader.data as web
import time
# import matplotlib.pyplot as plt
import datetime as dt
import plotly.graph_objects as go
import numpy as np
from matplotlib import style
# from matplotlib.widgets import EllipseSelector
from alpha_vantage.timeseries import TimeSeries

def candlestick(df):
    fig = go.Figure(data = [go.Candlestick(x = df["Date"], open = df["Open"], high = df["High"], low = df["Low"], close = df["Close"])])
    fig.show()

下面是绘图代码：

import pandas as pd
import pandas_datareader.data as web
import time
# import matplotlib.pyplot as plt
import datetime as dt
import plotly.graph_objects as go
import numpy as np
from matplotlib import style
# from matplotlib.widgets import EllipseSelector
from alpha_vantage.timeseries import TimeSeries

def candlestick(df):
    fig = go.Figure(data = [go.Candlestick(x = df["Date"], open = df["Open"], high = df["High"], low = df["Low"], close = df["Close"])])
    fig.show()

JupyterLab结果：

JupyterNotebook结果：

我已经将JupyterLab和Notebook更新为最新版本。我不知道是什么原因导致JupyterLab停止显示该图

谢谢你阅读我的帖子。非常感谢您的帮助

注意*

我没有包括用于数据读取的部件（库存OHLC值）。它包含API键。很抱歉给您带来不便。

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另外，这是我关于堆栈溢出的第二篇文章。如果这篇文章写得不好，我很抱歉。如果可能的话，我会尽更大的努力。再次感谢您的帮助。

TL；医生：

import pandas as pd
import pandas_datareader.data as web
import time
# import matplotlib.pyplot as plt
import datetime as dt
import plotly.graph_objects as go
import numpy as np
from matplotlib import style
# from matplotlib.widgets import EllipseSelector
from alpha_vantage.timeseries import TimeSeries

def candlestick(df):
    fig = go.Figure(data = [go.Candlestick(x = df["Date"], open = df["Open"], high = df["High"], low = df["Low"], close = df["Close"])])
    fig.show()

运行以下命令，然后重新启动jupyter实验室

jupyter labextension install @jupyterlab/plotly-extension

以以下内容开始实验室：

jupyter lab

使用以下代码进行测试：

import plotly.graph_objects as go
from alpha_vantage.timeseries import TimeSeries

def candlestick(df):
    fig = go.Figure(data = [go.Candlestick(x = df.index, open = df["1. open"], high = df["2. high"], low = df["3. low"], close = df["4. close"])])
    fig.show()

# preferable to save your key as an environment variable....
key = # key here

ts = TimeSeries(key = key, output_format = "pandas")
data_av_hist, meta_data_av_hist = ts.get_daily('AAPL')

candlestick(data_av_hist)

详细解释：

import pandas as pd
import pandas_datareader.data as web
import time
# import matplotlib.pyplot as plt
import datetime as dt
import plotly.graph_objects as go
import numpy as np
from matplotlib import style
# from matplotlib.widgets import EllipseSelector
from alpha_vantage.timeseries import TimeSeries

def candlestick(df):
    fig = go.Figure(data = [go.Candlestick(x = df["Date"], open = df["Open"], high = df["High"], low = df["Low"], close = df["Close"])])
    fig.show()

由于此问题与plotly而非matplotlib有关，因此您不必使用以下“内联魔术”：

每个扩展都必须安装到jupyter lab，您可以看到以下列表：

jupyter labextension list

有关另一扩展的详细说明，请参阅相关问题：

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你为matplotlib声明了%inline magic？哇，这真的很有效。非常感谢你的帮助。对不起，这对我不起作用。还有其他的解决方案吗？