使用 python 解析多行 whatsapp 文本不起作用
Parsing multi-line whatsapp text with python not working
我正在尝试准备一个 whatsapp 文件以供分析。我需要将它分为三列:时间、姓名和消息。文本包含对话中的一些消息,这些消息有换行符。当我将它加载到数据框中时,这些消息显示为它们自己的行,而不是一条消息的一部分。
4/16/19, 15:22 - +254 123 123: Hi my T. L
4/16/19, 15:22 - +254 123 124: Was up
4/17/19, 06:28 - member: Hi team details are Thursday 18 April,
Venue: Hilton Hotel
Time: 07:30am
Come on time team!
4/17/19, 12:17 - member: Hi guys
4/17/19, 12:18 - member: How many are coming tomorrow?
我试过两种方法:
直接使用正则表达式直接解析,如这些解决方案中所述here and here on Whosebug and this 博客
间接创建一个文件,在该文件中,这些多行消息被编译成找到的一行
两种方法都失败了:(
我最喜欢的是第二种方法,只是因为你能够创建一个可以被其他平台使用的文件,例如excel, 画面...
对于方法 2:
import re
from datetime import datetime
start = True
with open('test.txt', "r", encoding='utf-8') as infile, open("output.txt", "w", encoding='utf-8') as outfile:
for line in infile:
time = re.search(r'\d\d\/\d\d\/\d\d,.(24:00|2[0-3]:[0-5][0-9]|[0-1][0-9]:[0-5][0-9])', line)
sender = re.search(r'-(.*?):', line)
if sender and time:
date = datetime.strptime(
time.group(),
'%m/%d/%Y, %H:%M')
sender = sender.group()
text = line.rsplit(r'].+: ', 1)[-1]
new_line = str(date) + ',' + sender + ',' + text
if not start: new_line = new_line
outfile.write(new_line)
else:
outfile.write(' ' + line)
start = False
我希望我最终不会得到:
4/17/19, 06:28 - member: Hi team details are Thursday 18 April,
Venue: Hilton Hotel
Time: 07:30am
Come on time team!
并得到:
4/17/19, 06:28 - member: Hi team details are Thursday 18 April, Venue: Hilton Hotel Time: 07:30am Come on time team!
此外,将其输出为数据框,日期时间、成员和消息都正确完成。
正则表达式
您将需要以下正则表达式:
^(\d{1,2})\/(\d{1,2})\/(\d\d), (24:00|2[0-3]:[0-5][0-9]|[0-1][0-9]:[0-5][0-9]) - (\S[^:]*?): (.*)$
在线测试正则表达式in sandbox。
代码
接收到的数据被形成为 DateFrame 的对象。
最后,例如,将 DateFrame 对象保存在 CSV 文件中。
import re
from datetime import datetime
import pandas as pd
with open('test.txt', "r", encoding='utf-8') as infile:
outputData = { 'date': [], 'sender': [], 'text': [] }
for line in infile:
matches = re.match(r'^(\d{1,2})\/(\d{1,2})\/(\d\d), (24:00|2[0-3]:[0-5][0-9]|[0-1][0-9]:[0-5][0-9]) - ((\S[^:]*?): )?(.*)$', line)
if matches:
outputData['date'].append(
datetime(
int(matches.group(3))+2000,
int(matches.group(1)),
int(matches.group(2)),
hour=int(matches.group(4)[0:2]),
minute=int(matches.group(4)[3:])
))
outputData['sender'].append(matches.group(6) or "{undefined}")
outputData['text'].append(matches.group(7))
elif len(outputData['text']) > 0:
outputData['text'][-1] += "\n" + line[0:-1]
outputData = pd.DataFrame(outputData)
outputData.to_csv('output.csv', index=False, line_terminator='\n', encoding='utf-8')
在线测试已满in sandbox。
我正在尝试准备一个 whatsapp 文件以供分析。我需要将它分为三列:时间、姓名和消息。文本包含对话中的一些消息,这些消息有换行符。当我将它加载到数据框中时,这些消息显示为它们自己的行,而不是一条消息的一部分。
4/16/19, 15:22 - +254 123 123: Hi my T. L
4/16/19, 15:22 - +254 123 124: Was up
4/17/19, 06:28 - member: Hi team details are Thursday 18 April,
Venue: Hilton Hotel
Time: 07:30am
Come on time team!
4/17/19, 12:17 - member: Hi guys
4/17/19, 12:18 - member: How many are coming tomorrow?
我试过两种方法:
直接使用正则表达式直接解析,如这些解决方案中所述here and here on Whosebug and this 博客
间接创建一个文件,在该文件中,这些多行消息被编译成找到的一行
两种方法都失败了:( 我最喜欢的是第二种方法,只是因为你能够创建一个可以被其他平台使用的文件,例如excel, 画面...
对于方法 2:
import re
from datetime import datetime
start = True
with open('test.txt', "r", encoding='utf-8') as infile, open("output.txt", "w", encoding='utf-8') as outfile:
for line in infile:
time = re.search(r'\d\d\/\d\d\/\d\d,.(24:00|2[0-3]:[0-5][0-9]|[0-1][0-9]:[0-5][0-9])', line)
sender = re.search(r'-(.*?):', line)
if sender and time:
date = datetime.strptime(
time.group(),
'%m/%d/%Y, %H:%M')
sender = sender.group()
text = line.rsplit(r'].+: ', 1)[-1]
new_line = str(date) + ',' + sender + ',' + text
if not start: new_line = new_line
outfile.write(new_line)
else:
outfile.write(' ' + line)
start = False
我希望我最终不会得到:
4/17/19, 06:28 - member: Hi team details are Thursday 18 April,
Venue: Hilton Hotel
Time: 07:30am
Come on time team!
并得到:
4/17/19, 06:28 - member: Hi team details are Thursday 18 April, Venue: Hilton Hotel Time: 07:30am Come on time team!
此外,将其输出为数据框,日期时间、成员和消息都正确完成。
正则表达式
您将需要以下正则表达式:
^(\d{1,2})\/(\d{1,2})\/(\d\d), (24:00|2[0-3]:[0-5][0-9]|[0-1][0-9]:[0-5][0-9]) - (\S[^:]*?): (.*)$
在线测试正则表达式in sandbox。
代码
接收到的数据被形成为 DateFrame 的对象。 最后,例如,将 DateFrame 对象保存在 CSV 文件中。
import re
from datetime import datetime
import pandas as pd
with open('test.txt', "r", encoding='utf-8') as infile:
outputData = { 'date': [], 'sender': [], 'text': [] }
for line in infile:
matches = re.match(r'^(\d{1,2})\/(\d{1,2})\/(\d\d), (24:00|2[0-3]:[0-5][0-9]|[0-1][0-9]:[0-5][0-9]) - ((\S[^:]*?): )?(.*)$', line)
if matches:
outputData['date'].append(
datetime(
int(matches.group(3))+2000,
int(matches.group(1)),
int(matches.group(2)),
hour=int(matches.group(4)[0:2]),
minute=int(matches.group(4)[3:])
))
outputData['sender'].append(matches.group(6) or "{undefined}")
outputData['text'].append(matches.group(7))
elif len(outputData['text']) > 0:
outputData['text'][-1] += "\n" + line[0:-1]
outputData = pd.DataFrame(outputData)
outputData.to_csv('output.csv', index=False, line_terminator='\n', encoding='utf-8')
在线测试已满in sandbox。