另一个接近 Rakesh 解决方案的解决方案假设您的文件始终具有相同的结构（旧时间 -> 小时 -> 分钟 -> 新时间 -> 小时 -> 分钟 ...）。
提取使用正则表达式的字符串的所有数字：match = re.findall(r'\d+', str_file)
通过加入hours 和minutes 转换此列表：dates = [i+ ":" + j for i, j in zip(match[::2], match[1::2])]
使用pandas 模块创建dataframe
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导出数据
代码如下：
# Import module
import pandas as pd
with open("../temp.txt", 'r') as f:
# Read file as a string
str_file = f.read()
# Extract all numbers
match = re.findall(r'\d+', str_file)
print(match)
# ['1', '12', '15', '17', '11', '22', '5', '17']
# create dates
dates = [i+ ":" + j for i, j in zip(match[::2], match[1::2])]
print(dates)
# ['1:12', '15:17', '11:22', '5:17']
# create dataframe
df = pd.DataFrame({"oldtime": dates[::2],
"newtime": dates[1::2]})
print(df)
# oldtime newtime
# 0 1:12 15:17
# 1 11:22 5:17
# Export the data
df.to_csv("output.csv", index= False)
编辑 1：
假设oldtime 和newtime 块可以被刷卡。在这里，我每行读取文件行并将oldtime 和newtime 分类到字典中。有很多 slice 正在处理我的测试文件。
# Import module
import pandas as pd
with open("../temp.txt", 'r') as f:
# Read file as a string
list_split = ["oldtime:", "newtime:"]
dates = {"oldtime:": [], "newtime:": []}
line = f.readline().rstrip('\n')
while True:
line = line.rstrip('\n')
print([line])
if line in list_split:
key = line
hours = f.readline().rstrip('\n').split(":")[1]
minutes = f.readline().rstrip('\n').split(":")[1]
dates[key].append(hours+':'+minutes)
line = f.readline()
if not line:
break
print(dates)
# {'oldtime:': ['1:12', '11:22'], 'newtime:': ['15:17', '5:17']}
# create dataframe
df = pd.DataFrame({"oldtime": dates["oldtime:"],
"newtime": dates["newtime:"]})
print(df)
# oldtime newtime
# 0 1:12 15:17
# 1 11:22 5:17
# Export the data
df.to_csv("output.csv", index=False)
编辑 2：
import pandas as pd
with open("../temp.txt", 'r') as f:
# Read file as a string
list_split = ["oldtime:", "newtime:"]
dates = {"oldtime": [], "newtime": []}
line = f.readline().rstrip('\n')
while True:
# Ignore blank lines
if ("oldtime:" in line) or ("newtime:" in line):
# Process new "oldtime" or "newtime" block
# Class : either "oldtime" or "newtime"
class_time = line.replace(" ", "").rstrip('\n')[:-1]
# Default hour - minute values
hours = "24"
minutes = "60"
# Read next line
line = f.readline().rstrip('\n')
# While block not ended
while class_time + "!>" not in line:
# If hour in line: update hour
if 'hour' in line:
hours = line.split(":")[1]
# If minute in line: update minute
elif 'minute' in line:
minutes = line.split(":")[1]
# Read next line
line = f.readline().rstrip('\n')
# End block
# Add block read to dictionary
dates[class_time].append(hours+':'+minutes)
# Read next line
line = f.readline()
# If end of file: exit
if not line:
break
# create dataframe
df = pd.DataFrame({"oldtime": dates["oldtime"],
"newtime": dates["newtime"]})
# Export the data
df.to_csv("output.csv", index=False)
希望有帮助！