Python循环计算时间差

Question

我有以下数据

data = {'timestamp': ['Friday, October 15, 2021 3:40 PM', 'Oct 15, 2021 03:06:29 PM', 'Friday, October 15, 2021 2:28 PM', 'Oct 15, 2021 06:23:51 AM', 'Oct 15, 2021 04:19:07 AM', 'Oct 15, 2021 08:19:07 AM'],
        'emailuser': ['michael@google.com', 'caron@yt.com', 'luke@yt.com', 'sav@google.com','sav@google.com', 'paul@yt.com']
        }
data = pd.DataFrame(data)
print(data)

我想计算 Google 员工的平均响应时间。所以在这种情况下，我想得到

之间的时差

michael@google.com - luke@yt.com（可以跳过caron@yt.com的时间戳，因为caron和luke在同一家公司）
sav@google.com - paul@yt.com 被忽略，因为它会导致负时差

Answer 1

嗯，这不是很漂亮，但这应该符合规格。如果您有任何疑问或发现与规格有任何差异，请发表评论。

代码

import datetime

import pandas as pd

data = {
    "timestamp": [
        "Friday, October 15, 2021 3:40 PM",
        "Oct 15, 2021 03:06:29 PM",
        "Friday, October 15, 2021 2:28 PM",
        "Oct 15, 2021 06:23:51 AM",
        "Oct 15, 2021 04:19:07 AM",
        "Oct 15, 2021 08:19:07 AM",
    ],
    "emailuser": [
        "michael@google.com",
        "caron@yt.com",
        "luke@yt.com",
        "sav@google.com",
        "sav@google.com",
        "paul@yt.com",
    ],
}


def extract_datetime(timestamp: str) -> datetime.datetime:
    for format in ["%A, %B %d, %Y %I:%M %p", "%b %d, %Y %I:%M:%S %p"]:
        try:
            return datetime.datetime.strptime(timestamp, format)
        except:
            pass
    raise ValueError(f"Timestamp {timestamp} is invalid")


data = pd.DataFrame(data)
data["timestamp"] = data["timestamp"].apply(extract_datetime)
data["delta"] = datetime.timedelta(seconds=0)
gem = "@google.com"
for i in data.index:
    if data["emailuser"].iat[i][-len(gem) :] == gem:
        for j in range(i+1, data.index[-1]):
            if data["emailuser"].iat[j][-len(gem) :] != gem:
                delta = data["timestamp"].iat[i] - data["timestamp"].iat[j]
                if delta > datetime.timedelta(0):
                    data["delta"].iat[i] = delta
            else:
                break


print(data)

输出


            timestamp           emailuser           delta
0 2021-10-15 15:40:00  michael@google.com 0 days 01:12:00
1 2021-10-15 15:06:29        caron@yt.com 0 days 00:00:00
2 2021-10-15 14:28:00         luke@yt.com 0 days 00:00:00
3 2021-10-15 06:23:51      sav@google.com 0 days 00:00:00
4 2021-10-15 04:19:07      sav@google.com 0 days 00:00:00
5 2021-10-15 08:19:07         paul@yt.com 0 days 00:00:00

Python循环计算时间差

Python loop calculate time difference

time

parsing

for-loop

difference

calculation