我试图用xlsxwriter替换csv(我需要文档中某些行的样式功能),所以我试图在xlsxwriter中重新实现这个逻辑:
with open('text.csv', 'wb') as file_csv:
fieldnames = ["Date", "Advertiser", "Offer", "Affiliate", "Affiliate Source", "Impressions", "Clicks", "Cost click", "Conversions", "Cost", "Revenue", "Profit", "Real profit"]
writer = csv.DictWriter(file_csv, delimiter=",", fieldnames=fieldnames)
writer.writeheader()
for d in data:
real_profit = str(float(d['Stat']['profit']) - (int(d['Stat']['clicks']) * 0.0004))
writer.writerow({"Date": d['Stat']['date'], "Advertiser": d['Advertiser']['company'], "Offer": d['Offer']['name'], "Affiliate": d['Affiliate']['company'], "Affiliate Source": d['Stat']['source'], "Impressions": d['Stat']['impressions'], "Clicks": d['Stat']['clicks'], "Cost click": str(int(d['Stat']['clicks']) * 0.0004), "Conversions": d['Stat']['conversions'], "Cost": d['Stat']['payout'], "Revenue": d['Stat']['revenue'], "Profit": d['Stat']['profit'], "Real profit": real_profit})
totals = response['data']['totals']['Stat']
writer.writerow({"Date": "Totals", "Impressions": totals['impressions'], "Clicks": totals['clicks'], "Conversions": totals['conversions'], "Cost": totals['payout'], "Revenue": totals['revenue'], "Profit": totals['profit']})
如何使用xlsxwriter迭代地在for循环中实现它,最后写入总行?
答案 0 :(得分:3)
DictWriter
只是从数组fieldnames
中查找col号的一个包装器。你可以自己编写这样的包装器:
class DictWriter:
def __init__(self, worksheet, fieldnames):
self.worksheet =worksheet
self.fieldnames = fieldnames
self.nrow = 1
def writerow(self, d):
for k in d:
ncol = self.fieldnames.index(k)
self.worksheet.write(self.nrow, ncol, d[k])
self.nrow += 1
def writeheader(self):
for ncol , fieldname in enumerate(self.fieldnames):
self.worksheet.write(0, ncol, fieldname )
用法:
import xlsxwriter
workbook = xlsxwriter.Workbook('test.xlsx')
worksheet = workbook.add_worksheet()
fieldnames = [...]
writer = DictWriter(worksheet, fieldnames)
writer.writeheader()
# below comes your code
for d in data:
real_profit = str(float(d['Stat']['profit']) - (float(d['Stat']['clicks']) * 0.0004))
writer.writerow({"Date": d['Stat']['date'], "Advertiser": d['Advertiser']['company'], "Offer": d['Offer']['name'], "Affiliate": d['Affiliate']['company'], "Affiliate Source": d['Stat']['source'], "Impressions": d['Stat']['impressions'], "Clicks": d['Stat']['clicks'], "Cost click": str(int(d['Stat']['clicks']) * 0.0004), "Conversions": d['Stat']['conversions'], "Cost": d['Stat']['payout'], "Revenue": d['Stat']['revenue'], "Profit": d['Stat']['profit'], "Real profit": real_profit})