python-3.x

问题 Apologies if this is a silly question. I searched in stackoverflow. But did not find the solution. I am working on migration from Python 2.7 to Python 3.8. I am getting the below error for one program. Please help me. Traceback (most recent call last): File " <Path>\main.py", line 17, in <module> import script1 File " <Path>\script1.py", line 9, in <module> import script2 File " <Path>\script2.py", line 10, in <module> from googleapiclient import discovery ModuleNotFoundError: No module named

问题 So me and my friend have been working on recreating Conway's game of life in python. It's been going well until we started drawing the cells with pygame. we just finished the grid easily but for some unknown reason our cells won't draw. Please let us know whats wrong with the draw command. Here's the code: #Import goodies import time import pygame pygame.init() pygame.display.init() #Create dimension variables width = 32 height = 18 rectwidth = 1280 / width rectheight = 720 / height #Colors!

问题 Could somebody please explain why there is a 5 second delay between coro2 finishing and coro1 finishing? Also, why is there no such delay if I replace asyncio.wait([asyncio.sleep(5)]) with asyncio.sleep(5) ? async def coro1(): logger.info("coro1 start") await asyncio.wait([asyncio.sleep(5)]) logger.info("coro1 finish") async def coro2(): logger.info("coro2 start") time.sleep(10) logger.info("coro2 finish") async def main(): await asyncio.gather(coro1(), coro2()) loop = asyncio.get_event_loop(

问题 I am trying to click the Ask to join button in a google meet link(using my existing Google Chrome profile).This is the code: options = webdriver.ChromeOptions() options.add_argument(r"--user-data-dir=C:\\Users\\Pranil.DESKTOP-TLQKP4G.000\\AppData\\Local\\Google\\Chrome\\User Data") browser = webdriver.Chrome(ChromeDriverManager().install(), options=options) delay = 15 browser.get('https://meet.google.com/tws-kcie-aox') ignored_exceptions=(NoSuchElementException,StaleElementReferenceException,

问题 I am using below code. class Ui_MainWindow(object): def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(640, 480) self.centralwidget = QtWidgets.QWidget(MainWindow) self.centralwidget.setObjectName("centralwidget") self.label = QtWidgets.QLabel(self.centralwidget) self.label.setGeometry(QtCore.QRect(10, 10, 500, 300)) self.label.setText("") self.label.setObjectName("label") self.pushButton = QtWidgets.QPushButton(self.centralwidget) self.pushButton

问题 I have strings like '03-21-2019' that I want to convert to the native Python datetime object: that is, of the datetime.datetime type. The conversion is easy enough through pandas : import pandas as pd import datetime as dt date_str = '03-21-2019' pd_Timestamp = pd.to_datetime(date_str) py_datetime_object = pd_Timestamp.to_pydatetime() print(type(py_datetime_object)) with the result <class 'datetime.datetime'> This is precisely what I want, since I want to compute timedelta 's by subtracting

问题 I am researching prescription habits and have large dataframes of sold products. I am trying to transform purchases of medications into courses of the drugs by calculating how long the product would have lasted and adding a 5 day fudge factor for compliance, starting delays, etc to calculate an end date for the purchase. I then want to combine prescriptions with overlapping date windows but I'm struggling to find an efficient way to do this. I was hoping a groupby would be possible but I can

问题 I am researching prescription habits and have large dataframes of sold products. I am trying to transform purchases of medications into courses of the drugs by calculating how long the product would have lasted and adding a 5 day fudge factor for compliance, starting delays, etc to calculate an end date for the purchase. I then want to combine prescriptions with overlapping date windows but I'm struggling to find an efficient way to do this. I was hoping a groupby would be possible but I can

问题 I am researching prescription habits and have large dataframes of sold products. I am trying to transform purchases of medications into courses of the drugs by calculating how long the product would have lasted and adding a 5 day fudge factor for compliance, starting delays, etc to calculate an end date for the purchase. I then want to combine prescriptions with overlapping date windows but I'm struggling to find an efficient way to do this. I was hoping a groupby would be possible but I can

问题 I am researching prescription habits and have large dataframes of sold products. I am trying to transform purchases of medications into courses of the drugs by calculating how long the product would have lasted and adding a 5 day fudge factor for compliance, starting delays, etc to calculate an end date for the purchase. I then want to combine prescriptions with overlapping date windows but I'm struggling to find an efficient way to do this. I was hoping a groupby would be possible but I can