![]() ![]() All forward-looking statements in this press release are based on information available to DoorDash and assumptions and beliefs as of the date hereof, and we disclaim any obligation to update any forward-looking statements, except as required by law. The forward-looking statements contained in this press release are also subject to other risks and uncertainties that could cause actual results to differ from the results predicted, including those more fully described in our filings with the SEC, including our Annual Report on Form 10-K for the year ended Decemand our quarterly reports on Form 10-Q. Our expectations and beliefs regarding these matters may not materialize, and actual results in future periods are subject to risks and uncertainties that could cause actual results to differ materially from those projected, including risks and uncertainties related to: fluctuations in our stock price, changes in law or legal requirements, or legal or contractual restrictions on sales of stock by the co-founders. Forward-looking statements in this press release include, but are not limited to, our expectations about the amount and timing of sales of our Class A common stock by our co-founders. This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which statements involve substantial risks and uncertainties. Tang’s common stock holdings or voting power compared to current levels. Since the planned dispositions under these stock trading plans are associated with options exercises, we do not expect these dispositions to reduce Mr. Tang intends to sell up to approximately 2.4 million shares of Class A common stock. ![]() Fang intends to sell up to approximately 2.0 million shares of Class A common stock, and Mr. Xu intends to sell up to approximately 2.2 million shares of Class A common stock, Mr. The company ended the year with 32 million monthly active users, an increase of 7 million from the year-ago period. Under the terms of the new trading plans, Mr. DASH stock surged 7.6 to 72 during after-hours action on the stock market today. Tang’s trading plans are subject to volume limitations, pursuant to Rule 144, which limit the number of shares that can be sold in any three-month period. Tang intend to spread their dispositions of DoorDash stock over a period beginning in February 2023 and ending between February 2024 and June 2024. Tang to sell DoorDash Class A common stock acquired through planned option exercises in advance of such options expiring. The trading plans were adopted in order to allow Mr. Tang each have unexercised options that expire on June 25, 2024. DoorDash Inc - Class A () Stock Market info Recommendations: Buy or sell DoorDash Inc - Class A stock Wall Street Stock Market & Finance report, prediction for the future: Youll find the DoorDash Inc - Class A share forecasts, stock quote and buy / sell signals below. ![]() (NYSE: DASH) (“DoorDash”) today announced that Tony Xu, Andy Fang, and Stanley Tang, co-founders of DoorDash, each adopted a stock trading plan in accordance with Rule 10b5-1 of the Securities and Exchange Act of 1934, as amended, and the policies of DoorDash regarding stock transactions. # ymax = df.loc:relOut,'y'].SAN FRANCISCO-( BUSINESS WIRE)-DoorDash, Inc. #Server side implementation Output('RandGraph','figure'), Enjoy! import dashįrom pendencies import Output, Input, Stateĭf = pd.DataFrame(data=xy,columns=,index=xy)ĭcc.Graph(id='RandGraph',figure=dict(data=dataS,layout=layoutS)) I just needed to learn a bit of javascript to make if work =) I sure was missing pandas when I was trying to do the array filtering! The clientside impletation is a lot more responsive and faster. Here are 3 AI Drug Discovery Stocks to Put on Your Watchlist Smells Like New Highs for This Fragrance Boom Winner S&P 500 4,576.73 DOW 35,630. It I tried a serverside implementation first, which ended up being really slow (I kept it for reference). It runs, but yaxis is set at run time, and doesn't update.įrom pendencies import Output, InputĭateList.append(a - datetime.timedelta(days = x))ĭict(count=1, label="1m", step="month", stepmode="backward"),ĭict(count=6, label="6m", step="month", stepmode="backward"),ĭict(count=1, label="YTD", step="year", stepmode="todate"),ĭict(count=1, label="1y", step="year", stepmode="backward"),ĭict(count=5, label="5y", step="year", stepmode="backward"),ĭcc.Graph(id='RandGraph', animate=True, update_graph(relOut): ![]() I'm not sure of the proper syntax to update layout from a callback function. But instead of updating the yaxis the script throws errors. DoorDash Inc., the US food-delivery service that competes with Uber Technologies Inc. I think I have managed to get the callback function to trigger when sliding the xaxis scale through the 'relayoutData' hook. When sliding the xaxis, I want the yaxis to dynamically rescale to the view. I'm creating a simple stock chart app in dash-plotly (python) whith an xaxis slider. ![]()
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