可能需要考虑一个自定义的生成器函数，它在文件上循环，在某个条件下开始捕获，然后消耗并产生其余的，...
1、提取PDF表格 # 方法① import camelot tables = camelot.read_pdf("tables.pdf") print(tables) tables.export("extracted.csv", f="csv", compress=True) # 方法②, 需要安装Java8 import tabula tabula.read_pdf("tables.pdf", pages="all") tabula.convert_into("table.pdf", "o 不吃小白菜 202...
scraped_data.append(card_details) # create a data frame from the list of dictionaries dataFrame = pd.DataFrame.from_dict(scraped_data) # save the scraped data as CSV file dataFrame.to_csv('hotels_data.csv', index=False) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15...
import pandas as pd # Load the data df = pd.read_csv("/mnt/data/WA_Fn-UseC_-Telco-Custo...
f.write(",".join(data[h] for h in header)) f.write('\n') 调用的时候: lst=['23'] csv_match(lst,'age','in.csv','out.csv') key为需要匹配的列名,另外我们也可以提取不符合该条件的记录,‘取个反’就行了 # output the rows with not matched id in id_list to a new csv file ...
import csv csvfile = open('csv-demo.csv', 'r') # 打开CSV文件模式为r data = csv.Dict...
通过通达信下载的day文件是二进制文件,这里对day文件进行解析,保存为csv文件。 def transform_data(): # 保存csv文件的目录 target = proj_path + 'data/tdx/day' if not os.path.exists(target): os.makedirs(target) code_list = [] source_list = ['C:/new_tdx/vipdoc/sz/lday', 'C:/new_tdx/...
card_details['room_price'] = room_price.text# append the scraped data to the listscraped_data.append(card_details)# create a data frame from the list of dictionariesdataFrame = pd.DataFrame.from_dict(scraped_data)# save the scraped data as CSV filedataFrame.to_csv('hotels_data.csv', ind...
2.2每个表格分别写入csv文件 forindex, filenameinenumerate(filenames):printfilename with open('%s.csv'%filename,'wb') as fp: writer=csv.writer(fp)fortrinresponse.xpath('//table[%s]/tr'%(index+1)): writer.writerow([i.xpath('string(.)').extract_first().replace(u'\xa0', u' ')....
) import pandas as pd #使用pandas库 data = pd.read_csv("chengji.csv", header = 0,...