"" slave_space = 0 master_space = 0 master_space = get_disk_free_size(types=0) if slave: slave_space = get_disk_free_size(types=1) return master_space, slave_space def get_all_file_list(slave, file_list_master, file_list_slave, cc_image=''): """Obtain the file lists on ...
**kwargs)...next(c)...returnc...returnwrapper...>>>@coroutine...defcomplain_about2(substring):...print('Please talk to me!')...whileTrue:...text = (yield)...ifsubstringintext:...print('Oh no: I found a %s again!'...% (substring))...>>>c = complain_about2('JavaScript...
src=mdot"name="apple-itunes-app"/> var IMDbTimer={starttime: new Date().getTime(),pt:'java'}; if(typeof uet =='function') { uet("bb","LoadTitle", {wb:1}); } (function(t){ (t.events = t.events || {})["csm_head_pre_title"] = new Date().getTime(); })(IMDbTi...
defmain():try:doc=docx.Document('test.docx')# Creating word reader object.data=""fullText=[]forparaindoc.paragraphs:fullText.append(para.text)data='\n'.join(fullText)print(data)except IOError:print('There was an error opening the file!')returnif__name__=='__main__':main() 3提取...
read_csv : Load a CSV file into a DataFrame. to_excel : Write DataFrame to an Excel file. Examples --- >>> df = pd.DataFrame({'name': ['Raphael', 'Donatello'], ... 'mask': ['red', 'purple'], ... 'weapon': ['sai', 'bo staff']}) >>> df.to_csv(index=False) '...
Lists allow duplicate values: thislist = ["apple","banana","cherry","apple","cherry"] print(thislist) Try it Yourself » To determine how many items a list has, use thelen()function: Example Print the number of items in the list: ...
import re string = "apple,banana;cherry" list_of_fruits = re.split(r'[;,]', string) print(list_of_fruits) # Output: ['apple', 'banana', 'cherry'] Copy Converting Nested Data Structures Convert JSON-like strings to nested lists. import json string = '{"apple": ["red", "green...
intents= json.loads(open('intents.json').read())words= pickle.load(open('words.pkl','rb'))classes= pickle.load(open('classes.pkl','rb'))defclean_up_sentence(sentence):# tokenize the pattern - splittingwords into arraysentence_words = nltk.word_tokenize(sentence)...
基于对页面的这种重构以及将其元素分类为LTFigure(包含页面上的图像或图形)、LTTextContainer(表示页面的文本信息)或LTRect(表明存在表格的强烈迹象),我们可以应用适当的函数更好地提取信息。 forpagenum, pageinenumerate(extract_pages(pdf_path)): # Iterate the elements that composed a page ...
But as you’ll see in later parts of this book, objects implemented manually are often built on top of built-in types such as lists and dictionaries. For instance, a stack data structure may be implemented as a class that manages or customizes a built-in list. Built-in objects are ...