根据另一列的条件在新列中打印值
Printing values in new columns based on a condition from another column
我有以下数据框：
Time
Tab
User
Description
27.10.2021 15:58:00
Tab Alpha
UserA@gmail.com
Tab Alpha of type PARTSTUDIO opened by User A
27.10.2021 15:59:00
Tab Alpha
UserA@gmail.com
Start edit of part studio feature
27.10.2021 15:59:00
Tab Alpha
UserA@gmail.com
Cancel Operation
27.10.2021 15:59:00
Tab Alpha
UserB@gmail.com
Tab Alpha of type PARTSTUDIO opened by User B
27.10.2021 15:59:00
Tab Alpha
UserB@gmail.com
Start edit of part studio feature
27.10.2021 16:03:00
Tab Alpha
UserB@gmail.com
Cancel Operation
27.10.2021 16:03:00
Tab Alpha
UserA@gmail.com
Add assembly feature
27.10.2021 16:03:00
Tab Alpha
UserA@gmail.com
Tab Alpha of type PARTSTUDIO closed by User A
27.10.2021 16:03:00
Tab Beta
UserA@gmail.com
Tab Beta of type PARTSTUDIO opened by User A
27.10.2021 16:15:00
Tab Beta
UserA@gmail.com
Start edit of part studio feature
27.10.2021 16:15:00
Tab Alpha
UserB@gmail.com
Start edit of part studio feature
27.10.2021 16:15:00
Tab Alpha
UserB@gmail.com
Tab Alpha of type PARTSTUDIO closed by User B
27.10.2021 16:17:00
Tab Beta
UserA@gmail.com
Add assembly feature
27.10.2021 16:17:00
Tab Beta
UserC@gmail.com
Tab Beta of type ASSEMBLY opened by User C
27.10.2021 16:17:00
Tab Beta
UserC@gmail.com
Add assembly feature
27.10.2021 16:17:00
Tab Delta
UserB@gmail.com
Tab Delta of type PARTSTUDIO opened by User B
27.10.2021 16:54:00
Tab Delta
UserB@gmail.com
Add assembly feature
27.10.2021 16:54:00
Tab Beta
UserC@gmail.com
Tab Beta of type ASSEMBLY closed by User C
27.10.2021 16:55:00
Tab Beta
UserA@gmail.com
Tab Beta of type PARTSTUDIO closed by User A
27.10.2021 16:55:00
Tab Delta
UserB@gmail.com
Start edit of part studio feature
27.10.2021 16:55:00
Tab Delta
UserB@gmail.com
Tab Delta of type PARTSTUDIO closed by User B
如何根据“描述”列中的条件在新列（UserA、B 或 C）中打印值（选项卡名称）？条件是在值“Tab 'Tab_name' of type ... opened by User X”和“Tab 'Tab_name' of type 之间打印所述值（选项卡名称） ... 由用户 X 关闭”到所属列中。
预期输出：
Time
Tab
User
Description
UserA
UserB
UserC
27.10.2021 15:58:00
Tab Alpha
UserA@gmail.com
Tab Alpha of type PARTSTUDIO opened by User A
Tab Alpha
27.10.2021 15:59:00
Tab Alpha
UserA@gmail.com
Start edit of part studio feature
Tab Alpha
27.10.2021 15:59:00
Tab Alpha
UserA@gmail.com
Cancel Operation
Tab Alpha
27.10.2021 15:59:00
Tab Alpha
UserB@gmail.com
Tab Alpha of type PARTSTUDIO opened by User B
Tab Alpha
Tab Alpha
27.10.2021 15:59:00
Tab Alpha
UserB@gmail.com
Start edit of part studio feature
Tab Alpha
Tab Alpha
27.10.2021 16:03:00
Tab Alpha
UserB@gmail.com
Cancel Operation
Tab Alpha
Tab Alpha
27.10.2021 16:03:00
Tab Alpha
UserA@gmail.com
Add assembly feature
Tab Alpha
Tab Alpha
27.10.2021 16:03:00
Tab Alpha
UserA@gmail.com
Tab Alpha of type PARTSTUDIO closed by User A
Tab Alpha
Tab Alpha
27.10.2021 16:03:00
Tab Beta
UserA@gmail.com
Tab Beta of type PARTSTUDIO opened by User A
Tab Beta
Tab Alpha
27.10.2021 16:15:00
Tab Beta
UserA@gmail.com
Start edit of part studio feature
Tab Beta
Tab Alpha
27.10.2021 16:15:00
Tab Alpha
UserB@gmail.com
Start edit of part studio feature
Tab Beta
Tab Alpha
27.10.2021 16:15:00
Tab Alpha
UserB@gmail.com
Tab Alpha of type PARTSTUDIO closed by User B
Tab Beta
Tab Alpha
27.10.2021 16:17:00
Tab Beta
UserA@gmail.com
Add assembly feature
Tab Beta
27.10.2021 16:17:00
Tab Beta
UserC@gmail.com
Tab Beta of type ASSEMBLY opened by User C
Tab Beta
Tab Beta
27.10.2021 16:17:00
Tab Beta
UserC@gmail.com
Add assembly feature
Tab Beta
Tab Beta
27.10.2021 16:17:00
Tab Delta
UserB@gmail.com
Tab Delta of type PARTSTUDIO opened by User B
Tab Beta
Tab Delta
Tab Beta
27.10.2021 16:54:00
Tab Delta
UserB@gmail.com
Add assembly feature
Tab Beta
Tab Delta
Tab Beta
27.10.2021 16:54:00
Tab Beta
UserC@gmail.com
Tab Beta of type ASSEMBLY closed by User C
Tab Beta
Tab Delta
Tab Beta
27.10.2021 16:55:00
Tab Beta
UserA@gmail.com
Tab Beta of type PARTSTUDIO closed by User A
Tab Beta
Tab Delta
27.10.2021 16:55:00
Tab Delta
UserB@gmail.com
Start edit of part studio feature
Tab Delta
27.10.2021 16:55:00
Tab Delta
UserB@gmail.com
Tab Delta of type PARTSTUDIO closed by User B
Tab Delta
可能的解决方案如下：
# pip install pandas
import pandas as pd
import re
# set data and create dataframe
data = {'Time': {0: '27.10.2021 15:58:00 ', 1: '27.10.2021 15:59:00 ', 2: '27.10.2021 15:59:00 ', 3: '27.10.2021 15:59:00 ', 4: '27.10.2021 15:59:00 ', 5: '27.10.2021 16:03:00 ', 6: '27.10.2021 16:03:00 ', 7: '27.10.2021 16:03:00 ', 8: '27.10.2021 16:03:00 ', 9: '27.10.2021 16:15:00 ', 10: '27.10.2021 16:15:00 ', 11: '27.10.2021 16:15:00 ', 12: '27.10.2021 16:17:00 ', 13: '27.10.2021 16:17:00 ', 14: '27.10.2021 16:17:00 ', 15: '27.10.2021 16:17:00 ', 16: '27.10.2021 16:54:00 ', 17: '27.10.2021 16:54:00 ', 18: '27.10.2021 16:55:00 ', 19: '27.10.2021 16:55:00 ', 20: '27.10.2021 16:55:00 '}, 'Tab': {0: 'Tab Alpha ', 1: 'Tab Alpha ', 2: 'Tab Alpha ', 3: 'Tab Alpha ', 4: 'Tab Alpha ', 5: 'Tab Alpha ', 6: 'Tab Alpha ', 7: 'Tab Alpha ', 8: 'Tab Beta ', 9: 'Tab Beta ', 10: 'Tab Alpha ', 11: 'Tab Alpha ', 12: 'Tab Beta ', 13: 'Tab Beta ', 14: 'Tab Beta ', 15: 'Tab Delta ', 16: 'Tab Delta ', 17: 'Tab Beta ', 18: 'Tab Beta ', 19: 'Tab Delta ', 20: 'Tab Delta '}, 'User': {0: 'UserA@gmail.com ', 1: 'UserA@gmail.com ', 2: 'UserA@gmail.com ', 3: 'UserB@gmail.com ', 4: 'UserB@gmail.com ', 5: 'UserB@gmail.com ', 6: 'UserA@gmail.com ', 7: 'UserA@gmail.com ', 8: 'UserA@gmail.com ', 9: 'UserA@gmail.com ', 10: 'UserB@gmail.com ', 11: 'UserB@gmail.com ', 12: 'UserA@gmail.com ', 13: 'UserC@gmail.com ', 14: 'UserC@gmail.com ', 15: 'UserB@gmail.com ', 16: 'UserB@gmail.com ', 17: 'UserC@gmail.com ', 18: 'UserA@gmail.com ', 19: 'UserB@gmail.com ', 20: 'UserB@gmail.com '}, 'Description': {0: 'Tab Alpha of type PARTSTUDIO opened by User A', 1: 'Start edit of part studio feature', 2: 'Cancel Operation', 3: 'Tab Alpha of type PARTSTUDIO opened by User B', 4: 'Start edit of part studio feature', 5: 'Cancel Operation', 6: 'Add assembly feature', 7: 'Tab Alpha of type PARTSTUDIO closed by User A', 8: 'Tab Beta of type PARTSTUDIO opened by User A', 9: 'Start edit of part studio feature', 10: 'Start edit of part studio feature', 11: 'Tab Alpha of type PARTSTUDIO closed by User B', 12: 'Add assembly feature', 13: 'Tab Beta of type ASSEMBLY opened by User C', 14: 'Add assembly feature', 15: 'Tab Delta of type PARTSTUDIO opened by User B', 16: 'Add assembly feature', 17: 'Tab Beta of type ASSEMBLY closed by User C', 18: 'Tab Beta of type PARTSTUDIO closed by User A', 19: 'Start edit of part studio feature', 20: 'Tab Delta of type PARTSTUDIO closed by User B'}}
df = pd.DataFrame(data)
# ----------------------------------
# collect unique sets of user names and tabs
users = [user.split("@")[0] for user in df['User'].tolist()]
tabs = [user.strip() for user in df['Tab'].tolist()]
tabs_users = sorted(list(set(zip(users, tabs))))
# create and fill new columns for each user
for item in tabs_users:
user = item[0]
tab = item[1]
user_str = item[0][:-1] + ' ' + item[0][-1]
open_string = re.compile('{} .+ opened by {}'.format(tab, user_str))
close_string = re.compile('{} .+ closed by {}'.format(tab, user_str))
# get cell index where tab was opened and closed by user
try:
idx_open = df.index[df['Description'].str.contains(open_string)][0]
idx_close = df.index[df['Description'].str.contains(close_string)][0]
df.loc[idx_open: idx_close, user] = tab
except IndexError:
pass
df.fillna("")
Returns
我有以下数据框：
| Time | Tab | User | Description |
|---|---|---|---|
| 27.10.2021 15:58:00 | Tab Alpha | UserA@gmail.com | Tab Alpha of type PARTSTUDIO opened by User A |
| 27.10.2021 15:59:00 | Tab Alpha | UserA@gmail.com | Start edit of part studio feature |
| 27.10.2021 15:59:00 | Tab Alpha | UserA@gmail.com | Cancel Operation |
| 27.10.2021 15:59:00 | Tab Alpha | UserB@gmail.com | Tab Alpha of type PARTSTUDIO opened by User B |
| 27.10.2021 15:59:00 | Tab Alpha | UserB@gmail.com | Start edit of part studio feature |
| 27.10.2021 16:03:00 | Tab Alpha | UserB@gmail.com | Cancel Operation |
| 27.10.2021 16:03:00 | Tab Alpha | UserA@gmail.com | Add assembly feature |
| 27.10.2021 16:03:00 | Tab Alpha | UserA@gmail.com | Tab Alpha of type PARTSTUDIO closed by User A |
| 27.10.2021 16:03:00 | Tab Beta | UserA@gmail.com | Tab Beta of type PARTSTUDIO opened by User A |
| 27.10.2021 16:15:00 | Tab Beta | UserA@gmail.com | Start edit of part studio feature |
| 27.10.2021 16:15:00 | Tab Alpha | UserB@gmail.com | Start edit of part studio feature |
| 27.10.2021 16:15:00 | Tab Alpha | UserB@gmail.com | Tab Alpha of type PARTSTUDIO closed by User B |
| 27.10.2021 16:17:00 | Tab Beta | UserA@gmail.com | Add assembly feature |
| 27.10.2021 16:17:00 | Tab Beta | UserC@gmail.com | Tab Beta of type ASSEMBLY opened by User C |
| 27.10.2021 16:17:00 | Tab Beta | UserC@gmail.com | Add assembly feature |
| 27.10.2021 16:17:00 | Tab Delta | UserB@gmail.com | Tab Delta of type PARTSTUDIO opened by User B |
| 27.10.2021 16:54:00 | Tab Delta | UserB@gmail.com | Add assembly feature |
| 27.10.2021 16:54:00 | Tab Beta | UserC@gmail.com | Tab Beta of type ASSEMBLY closed by User C |
| 27.10.2021 16:55:00 | Tab Beta | UserA@gmail.com | Tab Beta of type PARTSTUDIO closed by User A |
| 27.10.2021 16:55:00 | Tab Delta | UserB@gmail.com | Start edit of part studio feature |
| 27.10.2021 16:55:00 | Tab Delta | UserB@gmail.com | Tab Delta of type PARTSTUDIO closed by User B |
如何根据“描述”列中的条件在新列（UserA、B 或 C）中打印值（选项卡名称）？条件是在值“Tab 'Tab_name' of type ... opened by User X”和“Tab 'Tab_name' of type 之间打印所述值（选项卡名称） ... 由用户 X 关闭”到所属列中。
预期输出：
| Time | Tab | User | Description | UserA | UserB | UserC |
|---|---|---|---|---|---|---|
| 27.10.2021 15:58:00 | Tab Alpha | UserA@gmail.com | Tab Alpha of type PARTSTUDIO opened by User A | Tab Alpha | ||
| 27.10.2021 15:59:00 | Tab Alpha | UserA@gmail.com | Start edit of part studio feature | Tab Alpha | ||
| 27.10.2021 15:59:00 | Tab Alpha | UserA@gmail.com | Cancel Operation | Tab Alpha | ||
| 27.10.2021 15:59:00 | Tab Alpha | UserB@gmail.com | Tab Alpha of type PARTSTUDIO opened by User B | Tab Alpha | Tab Alpha | |
| 27.10.2021 15:59:00 | Tab Alpha | UserB@gmail.com | Start edit of part studio feature | Tab Alpha | Tab Alpha | |
| 27.10.2021 16:03:00 | Tab Alpha | UserB@gmail.com | Cancel Operation | Tab Alpha | Tab Alpha | |
| 27.10.2021 16:03:00 | Tab Alpha | UserA@gmail.com | Add assembly feature | Tab Alpha | Tab Alpha | |
| 27.10.2021 16:03:00 | Tab Alpha | UserA@gmail.com | Tab Alpha of type PARTSTUDIO closed by User A | Tab Alpha | Tab Alpha | |
| 27.10.2021 16:03:00 | Tab Beta | UserA@gmail.com | Tab Beta of type PARTSTUDIO opened by User A | Tab Beta | Tab Alpha | |
| 27.10.2021 16:15:00 | Tab Beta | UserA@gmail.com | Start edit of part studio feature | Tab Beta | Tab Alpha | |
| 27.10.2021 16:15:00 | Tab Alpha | UserB@gmail.com | Start edit of part studio feature | Tab Beta | Tab Alpha | |
| 27.10.2021 16:15:00 | Tab Alpha | UserB@gmail.com | Tab Alpha of type PARTSTUDIO closed by User B | Tab Beta | Tab Alpha | |
| 27.10.2021 16:17:00 | Tab Beta | UserA@gmail.com | Add assembly feature | Tab Beta | ||
| 27.10.2021 16:17:00 | Tab Beta | UserC@gmail.com | Tab Beta of type ASSEMBLY opened by User C | Tab Beta | Tab Beta | |
| 27.10.2021 16:17:00 | Tab Beta | UserC@gmail.com | Add assembly feature | Tab Beta | Tab Beta | |
| 27.10.2021 16:17:00 | Tab Delta | UserB@gmail.com | Tab Delta of type PARTSTUDIO opened by User B | Tab Beta | Tab Delta | Tab Beta |
| 27.10.2021 16:54:00 | Tab Delta | UserB@gmail.com | Add assembly feature | Tab Beta | Tab Delta | Tab Beta |
| 27.10.2021 16:54:00 | Tab Beta | UserC@gmail.com | Tab Beta of type ASSEMBLY closed by User C | Tab Beta | Tab Delta | Tab Beta |
| 27.10.2021 16:55:00 | Tab Beta | UserA@gmail.com | Tab Beta of type PARTSTUDIO closed by User A | Tab Beta | Tab Delta | |
| 27.10.2021 16:55:00 | Tab Delta | UserB@gmail.com | Start edit of part studio feature | Tab Delta | ||
| 27.10.2021 16:55:00 | Tab Delta | UserB@gmail.com | Tab Delta of type PARTSTUDIO closed by User B | Tab Delta |
可能的解决方案如下：
# pip install pandas
import pandas as pd
import re
# set data and create dataframe
data = {'Time': {0: '27.10.2021 15:58:00 ', 1: '27.10.2021 15:59:00 ', 2: '27.10.2021 15:59:00 ', 3: '27.10.2021 15:59:00 ', 4: '27.10.2021 15:59:00 ', 5: '27.10.2021 16:03:00 ', 6: '27.10.2021 16:03:00 ', 7: '27.10.2021 16:03:00 ', 8: '27.10.2021 16:03:00 ', 9: '27.10.2021 16:15:00 ', 10: '27.10.2021 16:15:00 ', 11: '27.10.2021 16:15:00 ', 12: '27.10.2021 16:17:00 ', 13: '27.10.2021 16:17:00 ', 14: '27.10.2021 16:17:00 ', 15: '27.10.2021 16:17:00 ', 16: '27.10.2021 16:54:00 ', 17: '27.10.2021 16:54:00 ', 18: '27.10.2021 16:55:00 ', 19: '27.10.2021 16:55:00 ', 20: '27.10.2021 16:55:00 '}, 'Tab': {0: 'Tab Alpha ', 1: 'Tab Alpha ', 2: 'Tab Alpha ', 3: 'Tab Alpha ', 4: 'Tab Alpha ', 5: 'Tab Alpha ', 6: 'Tab Alpha ', 7: 'Tab Alpha ', 8: 'Tab Beta ', 9: 'Tab Beta ', 10: 'Tab Alpha ', 11: 'Tab Alpha ', 12: 'Tab Beta ', 13: 'Tab Beta ', 14: 'Tab Beta ', 15: 'Tab Delta ', 16: 'Tab Delta ', 17: 'Tab Beta ', 18: 'Tab Beta ', 19: 'Tab Delta ', 20: 'Tab Delta '}, 'User': {0: 'UserA@gmail.com ', 1: 'UserA@gmail.com ', 2: 'UserA@gmail.com ', 3: 'UserB@gmail.com ', 4: 'UserB@gmail.com ', 5: 'UserB@gmail.com ', 6: 'UserA@gmail.com ', 7: 'UserA@gmail.com ', 8: 'UserA@gmail.com ', 9: 'UserA@gmail.com ', 10: 'UserB@gmail.com ', 11: 'UserB@gmail.com ', 12: 'UserA@gmail.com ', 13: 'UserC@gmail.com ', 14: 'UserC@gmail.com ', 15: 'UserB@gmail.com ', 16: 'UserB@gmail.com ', 17: 'UserC@gmail.com ', 18: 'UserA@gmail.com ', 19: 'UserB@gmail.com ', 20: 'UserB@gmail.com '}, 'Description': {0: 'Tab Alpha of type PARTSTUDIO opened by User A', 1: 'Start edit of part studio feature', 2: 'Cancel Operation', 3: 'Tab Alpha of type PARTSTUDIO opened by User B', 4: 'Start edit of part studio feature', 5: 'Cancel Operation', 6: 'Add assembly feature', 7: 'Tab Alpha of type PARTSTUDIO closed by User A', 8: 'Tab Beta of type PARTSTUDIO opened by User A', 9: 'Start edit of part studio feature', 10: 'Start edit of part studio feature', 11: 'Tab Alpha of type PARTSTUDIO closed by User B', 12: 'Add assembly feature', 13: 'Tab Beta of type ASSEMBLY opened by User C', 14: 'Add assembly feature', 15: 'Tab Delta of type PARTSTUDIO opened by User B', 16: 'Add assembly feature', 17: 'Tab Beta of type ASSEMBLY closed by User C', 18: 'Tab Beta of type PARTSTUDIO closed by User A', 19: 'Start edit of part studio feature', 20: 'Tab Delta of type PARTSTUDIO closed by User B'}}
df = pd.DataFrame(data)
# ----------------------------------
# collect unique sets of user names and tabs
users = [user.split("@")[0] for user in df['User'].tolist()]
tabs = [user.strip() for user in df['Tab'].tolist()]
tabs_users = sorted(list(set(zip(users, tabs))))
# create and fill new columns for each user
for item in tabs_users:
user = item[0]
tab = item[1]
user_str = item[0][:-1] + ' ' + item[0][-1]
open_string = re.compile('{} .+ opened by {}'.format(tab, user_str))
close_string = re.compile('{} .+ closed by {}'.format(tab, user_str))
# get cell index where tab was opened and closed by user
try:
idx_open = df.index[df['Description'].str.contains(open_string)][0]
idx_close = df.index[df['Description'].str.contains(close_string)][0]
df.loc[idx_open: idx_close, user] = tab
except IndexError:
pass
df.fillna("")
Returns