我正在将一些Linux日志数据转换为CSV以便进行数据分析。有些说明需要一些时间,因此,我想我将为每个正在翻译的文件放在一个进度栏中。但是,当在带有progresspar2或tqdm的进度条中放置时,我的熊猫数据框为null。完全没有数据。当我删除进度条时,一切都会正常进行。
这是我的CSV翻译功能:
import pandas as pd
from dateutil import parser
from tqdm import trange
import os
import glob
import csv
import socket
def logsToCSV():
print("[+] Translating log to CSV")
log_file = open(CSV_FILE_PATH, "w", newline='')
csv_w = csv.writer(log_file)
for filename in glob.glob(os.path.join(LOGS_FILE_PATH, '*.txt')): # Find all files in path with .txt
data_file = open(filename, "r")
file_length = len(data_file.readlines())
for i in trange(file_length, desc='loop', leave=False): # Progress Bar Via TQDM
for new_line in data_file:
new_line = line.strip().split(" ")
date = str("%s %s %s" % (new_line[0], new_line[1], new_line[2])).strip()
date = parser.parse(date)
ip =str(new_line[5]).partition("/")
ip = str(ip[0]).strip()
try:
url = str(new_line[7]).strip()
except:
url = None
csv_w.writerow([date,ip,url])
TQDM正在破坏某些东西,或者我没有正确实现它。
编辑1:
我知道了。我用尽了在readlines()中读取的文件以获取长度。这有效:
def logsToCSV():
print("[+] Translating log to CSV")
log_file = open(CSV_FILE_PATH, "w", newline='')
csv_w = csv.writer(log_file)
path, dirs, files = next(os.walk(LOGS_FILE_PATH))
log_num = len(files)
print(log_num)
for filename in glob.glob(os.path.join(LOGS_FILE_PATH, '*.txt')): # Find all files in path with .txt
data_file = open(filename, "r")
with open(filename, "r") as f:
file_length = len(f.readlines())
f.close()
pbar = tqdm(total=file_length)
for line in data_file:
new_line = line.strip().split(" ")
date = str("%s %s %s" % (new_line[0], new_line[1], new_line[2])).strip()
date = parser.parse(date)
ip =str(new_line[5]).partition("/")
ip = str(ip[0]).strip()
try:
url = str(new_line[7]).strip()
except:
url = None
csv_w.writerow([date,ip,url])
pbar.update(1)
pbar.close()
答案 0 :(得分:-1)
您可以将tqdm应用于主循环:
从tqdm导入tqdm 对于我在tqdam中(条件):