计算对应空行的和输出到单独的CSV文件
结果是这样的(我这里处理了多个上面截图的CSV文件)
下面附代码
import os
import pandas as pd
import numpy as np
import xlwt
workbook = xlwt.Workbook()
sheet = workbook.add_sheet("Sheet Name1")
file_path = "D:\四维\zdh\db1"
path_list = os.listdir(file_path)
path_name=[]
i = 0
# 利用循环历遍path_list列表并且利用split去掉后缀名
for orderid in path_list:
#读取文件
try:#文件不存在跳过
df = pd.read_csv("D:\四维\zdh\db1/"+ orderid +"/RULER_LINE_ABSOLUTE_LANEBOUNDARY_-distinct.csv")
had = df[["feature_length"]]#had上报总数
shen = df[["report_length"]]#识别总数
shen1 = df.query('report_length == "nan"').feature_length.sum()#漏识别
shen2 = df.query('feature_length == "nan"').report_length.sum()#冗余
i = i + 1
#输出数据
sheet.write(i, 0, str(df.iloc[2]["order_id"]))
sheet.write(i, 1, float(np.sum(shen)))
sheet.write(i, 2, float(np.sum(had)))
sheet.write(i, 3, float(shen1))
sheet.write(i, 4, float(shen2))
#创建并输出文件
#workbook.save("D:\四维\zdh\db0/"+ orderid +'/'+orderid +'.csv')
except:
orderid
#print(orderid+ '该文件不存在')
sheet.write(0, 0, 'orderid')
sheet.write(0, 1, 'FZ总数')
sheet.write(0, 2, 'HD总数')
sheet.write(0, 3, '遗漏')
sheet.write(0, 4, '误新增')
workbook.save("D:\四维\zdh\db1/LANEBOUNDARY.csv")
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