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Я пытаюсь использовать средство визуализации динамической информации о запасах. У меня это работало с matplotlib, но я хотел перейти на Plotly. Однако, как только я переключился на график, моя диаграмма больше не отображается. Jupyter-lab не выдает никаких ошибок в моем коде.

 from ipywidgets import VBox, HBox, Text, Button, widgets, Layout from IPython.display import display from datetime import datetime, timedelta import yfinance as yf import pandas as pd import plotly.graph_objs as go import plotly.offline as py import plotly.express as px import numpy as np  class StockGraph():  def __init__(self):  self.tickers = {}  self.lines = []  self.views = {  "Raw Data": lambda x: x,  "Rolling Average": lambda x: x.rolling(rolling.value).mean(),  "Rolling Variance": lambda x: x.rolling(rolling.value).var(),  "Rolling Standard Deviation": lambda x: x.rolling(rolling.value).var()**0.5,  "Rolling Coefficient of Variation": lambda x: (x.rolling(rolling.value).var()**0.5) / (x.rolling(rolling.value).mean())  }    def plot_data(self, *args):  if start_date.value.year gt; 1900 and end_date.value.year gt; 1900:  new_df = pd.DataFrame()  while self.lines:  item = self.lines.pop()  item.remove()  for tick in self.tickers.keys():  df = self.tickers[tick]  start = datetime(start_date.value.year, start_date.value.month, start_date.value.day)  end = datetime(end_date.value.year, end_date.value.month, end_date.value.day)  selection = df.loc[(df.index gt;= start) amp; (df.index lt;= end)]  value = self.views[calculation.value](selection[data_type.value])  new_df[tick] = value  fig = px.line(new_df, x=new_df.index, y=new_df.columns)  fig.show()   def render_stocks(self, *args):  if stock_text.value != '':  ticker = yf.download(stock_text.value.upper(), period="max", progress=False)  if not ticker.empty:  self.tickers[stock_text.value.upper()] = ticker  self.plot_data()  stock_text.value = ''  boxes = [self.completed_stock(each) for each in self.tickers]  tickersWidget.children = ([VBox([VBox(boxes), HBox([stock_text, stock_button])])])    def completed_stock(self, ticker):   tickerField = Text(value=ticker,layout=Layout(width='50%',))  removeButton = Button(description='Remove', button_style='danger',layout=Layout(width='50%',))  return HBox([tickerField, removeButton])    def completed_stock(self, ticker):  def remove_stock(_):  if tickerField.value in self.tickers.keys():  self.tickers.pop(tickerField.value)  self.render_stocks()  self.plot_data()    tickerField = Text(value=ticker,layout=Layout(width='50%',))  removeButton = Button(description='Remove', button_style='danger',layout=Layout(width='50%',))  removeButton.on_click(remove_stock)  stock_view = HBox([tickerField, removeButton])  return stock_view    def finish_matplotlib(self):  ax.legend()  title = f"{calculation.value} of {data_type.value} from {start_date.value.strftime('%Y/%m/%d')}"  title  = f" to {end_date.value.strftime('%Y/%m/%d')}"  ax.set_title(title)  ax.relim()  ax.autoscale()  fig.canvas.draw_idle()  graph = StockGraph()  # Setting up a basic view with an empty field and a button stock_text = widgets.Text(value='',layout=Layout(width='50%',)) stock_button = widgets.Button(description='Add',layout=Layout(width='50%',))  stock_button.on_click(graph.render_stocks) tickersWidget = HBox([stock_text, stock_button])  # Choose data to be shown calculation = widgets.Dropdown(value="Raw Data", options=graph.views.keys(),layout=Layout(width='auto',)) data_type = widgets.Dropdown(value="Close", options=['Open', 'Close', 'High', 'Low', 'Volume'],layout=Layout(width='auto',)) calculation.observe(graph.plot_data) data_type.observe(graph.plot_data) dropdowns = VBox([calculation, data_type])  #Choose dates to be shown start_date = widgets.DatePicker(value=datetime.today() - timedelta(days=365),disabled=False,layout=Layout(width='auto',)) end_date = widgets.DatePicker(value=datetime.today(),disabled=False,layout=Layout(width='auto',)) start_date.observe(graph.plot_data) end_date.observe(graph.plot_data) dates = VBox([start_date, end_date])  #Other Settings for Users rolling = widgets.Dropdown(options=list(range(2,101)), value=60,description='Rolling:',disabled=False,layout=Layout(width='auto',)) rolling.observe(graph.plot_data)  final_view = VBox([tickersWidget, dropdowns, dates, rolling],layout=Layout(width='20%',)) display(final_view)   

Я хотел бы получить некоторое представление о том, почему диаграмма не будет отображаться.