python-3.x

问题 I am creating a GUI using Python 3.4 and Tkinter on a Windows 8 computer. The GUI has some Entry inputs at the top, then some comboboxes. I want the combobox to acquire a list of options from a text file that is described by the previous inputs (file name, the row in which the requisite information is found, delimiter type, etc.). I am trying to use the postcommand, but it seems to run first thing and never update, rather then update every time I access the drop down menu of the combobox.

问题 I was trying to make so the role RGB Changes to color red and yellow every 5 seconds async def runtime_background_task(role = discord.Role): while not bot.is_closed: await bot.edit_role(server="493121776402825219", role="RGB", colour=discord.Colour(0xff0000)) await asyncio.sleep(5) await bot.edit_role(server="493121776402825219", role="RGB", colour=discord.Colour(0xffff00)) 回答1: You can try something like this @bot.event async def on_ready(): server = bot.get_server("493121776402825219")

问题 I was trying to make so the role RGB Changes to color red and yellow every 5 seconds async def runtime_background_task(role = discord.Role): while not bot.is_closed: await bot.edit_role(server="493121776402825219", role="RGB", colour=discord.Colour(0xff0000)) await asyncio.sleep(5) await bot.edit_role(server="493121776402825219", role="RGB", colour=discord.Colour(0xffff00)) 回答1: You can try something like this @bot.event async def on_ready(): server = bot.get_server("493121776402825219")

问题 I currently have a bunch of times in a column written like "27:32:18", meaning someone was waiting for 27 hours, 32 minutes, and 18 seconds. I keep getting "ValueError: hour must be in 0..23" whenever I try to parse these values. How should I go about parsing those values or converting them to a more standard format? I tried the following as a test on a single value: time1 = "56:42:12" time2 = time1.split(':') time2 = [int(n) for n in time2] time2.insert(0, time2[0] // 24) time2[1] %= 24 At

问题 Given I got a word2vec model (by gensim), I want to get the rank similarity between to words. For example, let's say I have the word "desk" and the most similar words to "desk" are: table 0.64 chair 0.61 book 0.59 pencil 0.52 I want to create a function such that: f(desk,book) = 3 Since book is the 3rd most similar word to desk. Does it exists? what is the most efficient way to do this? 回答1: You can use the rank(entity1, entity2) to get the distance - same as the index. model.wv.rank(sample

问题 Here is a function to load data from google cloud bucket. action_dataset_folder_path = 'action-data-set' zip_path = 'actions.zip' url='http://console.cloud.google.com/storage/browser/actions' class LoadProgress(tqdm): last_block = 0 def hook(self, block_num=1, block_size=1, total_size=None): self.total = total_size self.update((block_num - self.last_block) * block_size) self.last_block = block_num if not isfile(zip_path): with LoadProgress(unit='B', unit_scale=True, miniters=1, desc='actions

问题 Given I got a word2vec model (by gensim), I want to get the rank similarity between to words. For example, let's say I have the word "desk" and the most similar words to "desk" are: table 0.64 chair 0.61 book 0.59 pencil 0.52 I want to create a function such that: f(desk,book) = 3 Since book is the 3rd most similar word to desk. Does it exists? what is the most efficient way to do this? 回答1: You can use the rank(entity1, entity2) to get the distance - same as the index. model.wv.rank(sample

问题 I'm currently new to both beautiful soup and geckodriver working on selenium 3. I am working on a project where I have to scrape URL from web pages. I found that both of them are used for web scrapping, but could not get the difference between the two of them. What is the difference between BeautifulSoup and Geckodriver? Thanks for the help. 回答1: BeautifulSoup is designed for web scraping. a Python library for pulling data out of HTML and XML files. It works with your favorite parser to

问题 I'm currently new to both beautiful soup and geckodriver working on selenium 3. I am working on a project where I have to scrape URL from web pages. I found that both of them are used for web scrapping, but could not get the difference between the two of them. What is the difference between BeautifulSoup and Geckodriver? Thanks for the help. 回答1: BeautifulSoup is designed for web scraping. a Python library for pulling data out of HTML and XML files. It works with your favorite parser to

问题 I am using jupyter lab to run spark-nlp text analysis. At the moment I am just running the sample code: import sparknlp from pyspark.sql import SparkSession from sparknlp.pretrained import PretrainedPipeline #create or get Spark Session #spark = sparknlp.start() spark = SparkSession.builder \ .appName("ner")\ .master("local[4]")\ .config("spark.driver.memory","8G")\ .config("spark.driver.maxResultSize", "2G") \ .config("spark.jars.packages", "com.johnsnowlabs.nlp:spark-nlp_2.11:2.6.5")\