遍历字典并修改值
Iterate through a dictionary and modify values
我试图通过递归遍历它的键来将字典中的特定日期时间值更改为字符串。
from copy import deepcopy
def datetoStr2(datadict):
if 'dict' in str(type(datadict)):
newdict = dict()
newdict.update(datadict)
for key in datadict:
if isinstance(datadict[key], dict):
newdict[key] = datetoStr(datadict[key])
if isinstance(datadict[key], list):
mylist = datadict[key]
for element in mylist:
element = datetoStr(element)
if isinstance(datadict[key], datetime):
#newdict[key] = datadict[key].strftime('%Y-%m-%d %H:%M:%S.%f%z')
newdict[key] = str(datadict[key])
return newdict
else:
return datadict
然而，当我运行
some_dict = datetoStr(mydict)
我在这些地方仍然有日期时间对象。我做错了什么？
编辑：更新了函数代码。
写这个函数是因为这个字典是通过 Flask 的 jsonify 传递的，它目前去除时区信息并将其替换为 GMT。 （计划在下一次更新中修复）。
我已经根据一些反馈更新了我的函数，但我仍然无法生成结果。
我正在添加一些示例数据和我的输出。
结果：
代码中插入的快速打印告诉我日期时间仍然是日期时间，并且 TZinfo 被 jsonify 剥离。
示例数据：
{'data': {'all': {'count': 2,
'data': [{'arrivalby': 'Wed, 20 Jun 2018 09:39:00 GMT',
'closesat': 'Wed, 20 Jun 2018 06:05:40 GMT',
'doctype': 'general',
'geofence': {'coordinates': [[[78.43786473803105,
17.447430456650043],
[78.45670406196896,
17.447430456650043],
[78.45670406196896,
17.46540214334996],
[78.43786473803105,
17.46540214334996],
[78.43786473803105,
17.447430456650043]]],
'type': 'Polygon'},
'housecallid': '591ce42e9b53f96ea393934f61fab25d',
'lastupdated': 'Fri, 22 Jun 2018 04:32:14 GMT',
'requester': {'addr1': 'xxx xxx xx',
'addr2': 'xx xx xx',
'addr3': 'xx xx',
'addrstate': 'xx',
'city': 'xx',
'dob': 'xx/xx/xxxx',
'email': 'xx@xx',
'fname': 'xxx',
'lname': 'xx',
'location': {'coordinates': [78.4472844,
17.4564163],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xxxx'},
'requesttime': 'Wed, 20 Jun 2018 00:05:40 GMT',
'responder': {'addr1': 'xxx xxxx',
'addr2': 'xx xx xxxx',
'addr3': 'xxx xx',
'addrstate': 'xxxx',
'city': 'xxxx',
'email': 'xx@xxxx',
'fname': 'xxxx',
'lname': 'xxxx',
'location': {'coordinates': [78.4471904,
17.456458],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xxxx'},
'responsetime': 'Wed, 20 Jun 2018 00:09:37 GMT',
'status': 'missed'},
{'arrivalby': 'Sat, 23 Jun 2018 10:13:00 GMT',
'closesat': 'Fri, 22 Jun 2018 10:42:11 GMT',
'doctype': 'general',
'geofence': {'coordinates': [[[78.43784273760974,
17.44743855664762],
[78.45668206239024,
17.44743855664762],
[78.45668206239024,
17.465410243352377],
[78.43784273760974,
17.465410243352377],
[78.43784273760974,
17.44743855664762]]],
'type': 'Polygon'},
'housecallid': '998987171790f172b97a7981a8902af1',
'lastupdated': 'Fri, 22 Jun 2018 18:36:50 GMT',
'requester': {'addr1': 'xx xxx, ',
'addr2': 'xx xx xxxx',
'addr3': 'xxx xxx',
'addrstate': 'xx',
'city': 'xxxx',
'dob': 'xxxx-xx-xx',
'email': 'xxxx@xxxx',
'fname': 'xx',
'lname': 'xx',
'location': {'coordinates': [78.4472624,
17.4564244],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xxxx'},
'requesttime': 'Fri, 22 Jun 2018 04:42:11 GMT',
'responder': {'addr1': 'xxxx xxxx',
'addr2': 'xx xx xx',
'addr3': 'xxxx xxxx',
'addrstate': 'xxxx',
'city': 'xxxx',
'email': 'xxx@xxxx',
'fname': 'xxxxx',
'lname': 'xxxx',
'location': {'coordinates': [78.4471904,
17.456458],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xx'},
'responsetime': 'Fri, 22 Jun 2018 04:43:05 GMT',
'status': 'missed'}]},
'cancelled': {'count': 0, 'data': []},
'closed': {'count': 0, 'data': []},
'confirmed': {'count': 0, 'data': []},
'missed': {'count': 2,
'data': [{'arrivalby': 'Wed, 20 Jun 2018 09:39:00 GMT',
'closesat': 'Wed, 20 Jun 2018 06:05:40 GMT',
'doctype': 'general',
'geofence': {'coordinates': [[[78.43786473803105,
17.447430456650043],
[78.45670406196896,
17.447430456650043],
[78.45670406196896,
17.46540214334996],
[78.43786473803105,
17.46540214334996],
[78.43786473803105,
17.447430456650043]]],
'type': 'Polygon'},
'housecallid': '591ce42e9b53f96ea393934f61fab25d',
'lastupdated': 'Fri, 22 Jun 2018 04:32:14 GMT',
'requester': {'addr1': 'xx xx xxx',
'addr2': 'xx xx xxxx',
'addr3': 'xx xx',
'addrstate': 'xxxxxx',
'city': 'xxxxx',
'dob': 'xx/xx/xxxx',
'email': 'xx@xxx',
'fname': 'xx',
'lname': 'xxx',
'location': {'coordinates': [78.4472844,
17.4564163],
'type': 'Point'},
'mobile': xx,
'sex': 'xx'},
'requesttime': 'Wed, 20 Jun 2018 00:05:40 GMT',
'responder': {'addr1': 'xx xx',
'addr2': 'xx xx xxxx',
'addr3': 'xx xx',
'addrstate': 'xx',
'city': 'xx',
'email': 'xx@xx',
'fname': 'xx',
'lname': 'xx',
'location': {'coordinates': [78.4471904,
17.456458],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xx'},
'responsetime': 'Wed, 20 Jun 2018 00:09:37 GMT',
'status': 'missed'},
{'arrivalby': 'Sat, 23 Jun 2018 10:13:00 GMT',
'closesat': 'Fri, 22 Jun 2018 10:42:11 GMT',
'doctype': 'general',
'geofence': {'coordinates': [[[78.43784273760974,
17.44743855664762],
[78.45668206239024,
17.44743855664762],
[78.45668206239024,
17.465410243352377],
[78.43784273760974,
17.465410243352377],
[78.43784273760974,
17.44743855664762]]],
'type': 'Polygon'},
'housecallid': '998987171790f172b97a7981a8902af1',
'lastupdated': 'Fri, 22 Jun 2018 18:36:50 GMT',
'requester': {'addr1': 'xxx xxx, ',
'addr2': 'xx xx xxxx',
'addr3': 'xx xx',
'addrstate': 'xxx',
'city': 'xxx',
'dob': 'xxxx-xx-xx',
'email': 'xxxx@xxxx',
'fname': 'xx',
'lname': 'xx',
'location': {'coordinates': [78.4472624,
17.4564244],
'type': 'Point'},
'mobile': xxxxx,
'sex': 'xx'},
'requesttime': 'Fri, 22 Jun 2018 04:42:11 GMT',
'responder': {'addr1': 'xx xx',
'addr2': 'xx xx xxxx',
'addr3': 'xx xx',
'addrstate': 'xx',
'city': 'xxxx',
'email': 'xxxx@xxxx',
'fname': 'xx',
'lname': 'xx',
'location': {'coordinates': [78.4471904,
17.456458],
'type': 'Point'},
'mobile': xx,
'sex': 'xxxx'},
'responsetime': 'Fri, 22 Jun 2018 04:43:05 GMT',
'status': 'missed'}]}}, 'success': True}
更新 - 2018 年 6 月 24 日
帕特里克，谢谢你的回答。我已经接受它是正确的。
但是，在我的编辑中，我谈到了列表是一个元素的想法，因此我添加了以下代码（对于那些正在寻找绕过 jsonify 错误的方法的人）。
def datetoStr(datadict):
from copy import deepcopy
# deepcopy before data manipulation
if 'dict' in str(type(datadict)):
newdict = deepcopy(datadict)
for key,value in datadict.items():
# recurse into nested dicts
if isinstance(value, dict):
newdict[key] = datetoStr(datadict[key])
# convert to string
elif isinstance(value, datetime):
newdict[key] = str(datadict[key])
# if list, iterate through elements and replace
elif isinstance(datadict[key], list):
newlist = datadict[key].copy()
counter = 0
for element in datadict[key]:
newlist[counter] = datetoStr(datadict[key][counter])
counter += 1
newdict[key] = newlist
return newdict
else:
return datadict
如果您使用 dict.items()，您可以稍微简化您的代码，它直接为您提供用于迭代的键和值：
from copy import deepcopy
import datetime
def datetoStr(datadict):
# deepcopy before data manipulation
newdict = deepcopy(datadict)
for key,value in datadict.items():
# recurse into nested dicts
if isinstance(value, dict):
newdict[key] = datetoStr(datadict[key])
# convert to string
elif isinstance(value, datetime.datetime):
newdict[key] = str(datadict[key])
return newdict
before = { "a date": datetime.datetime.now(),
"a dict": { "another": datetime.datetime.now() + datetime.timedelta(hours=2)}}
print(before)
# get the modified copy of before
transformedDict = datetoStr(before)
print(transformedDict)
输出：
# before
{'a date': datetime.datetime(2018, 6, 23, 21, 54, 12, 806419),
'a dict': {'another': datetime.datetime(2018, 6, 23, 23, 54, 12, 806421)}}
# transformedDict
{'a date': '2018-06-23 21:54:12.806419',
'a dict': {'another': '2018-06-23 23:54:12.806421'}}
我试图通过递归遍历它的键来将字典中的特定日期时间值更改为字符串。
from copy import deepcopy
def datetoStr2(datadict):
if 'dict' in str(type(datadict)):
newdict = dict()
newdict.update(datadict)
for key in datadict:
if isinstance(datadict[key], dict):
newdict[key] = datetoStr(datadict[key])
if isinstance(datadict[key], list):
mylist = datadict[key]
for element in mylist:
element = datetoStr(element)
if isinstance(datadict[key], datetime):
#newdict[key] = datadict[key].strftime('%Y-%m-%d %H:%M:%S.%f%z')
newdict[key] = str(datadict[key])
return newdict
else:
return datadict
然而，当我运行
some_dict = datetoStr(mydict)
我在这些地方仍然有日期时间对象。我做错了什么？
编辑：更新了函数代码。
写这个函数是因为这个字典是通过 Flask 的 jsonify 传递的，它目前去除时区信息并将其替换为 GMT。 （计划在下一次更新中修复）。
我已经根据一些反馈更新了我的函数，但我仍然无法生成结果。
我正在添加一些示例数据和我的输出。
结果：
代码中插入的快速打印告诉我日期时间仍然是日期时间，并且 TZinfo 被 jsonify 剥离。
示例数据：
{'data': {'all': {'count': 2,
'data': [{'arrivalby': 'Wed, 20 Jun 2018 09:39:00 GMT',
'closesat': 'Wed, 20 Jun 2018 06:05:40 GMT',
'doctype': 'general',
'geofence': {'coordinates': [[[78.43786473803105,
17.447430456650043],
[78.45670406196896,
17.447430456650043],
[78.45670406196896,
17.46540214334996],
[78.43786473803105,
17.46540214334996],
[78.43786473803105,
17.447430456650043]]],
'type': 'Polygon'},
'housecallid': '591ce42e9b53f96ea393934f61fab25d',
'lastupdated': 'Fri, 22 Jun 2018 04:32:14 GMT',
'requester': {'addr1': 'xxx xxx xx',
'addr2': 'xx xx xx',
'addr3': 'xx xx',
'addrstate': 'xx',
'city': 'xx',
'dob': 'xx/xx/xxxx',
'email': 'xx@xx',
'fname': 'xxx',
'lname': 'xx',
'location': {'coordinates': [78.4472844,
17.4564163],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xxxx'},
'requesttime': 'Wed, 20 Jun 2018 00:05:40 GMT',
'responder': {'addr1': 'xxx xxxx',
'addr2': 'xx xx xxxx',
'addr3': 'xxx xx',
'addrstate': 'xxxx',
'city': 'xxxx',
'email': 'xx@xxxx',
'fname': 'xxxx',
'lname': 'xxxx',
'location': {'coordinates': [78.4471904,
17.456458],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xxxx'},
'responsetime': 'Wed, 20 Jun 2018 00:09:37 GMT',
'status': 'missed'},
{'arrivalby': 'Sat, 23 Jun 2018 10:13:00 GMT',
'closesat': 'Fri, 22 Jun 2018 10:42:11 GMT',
'doctype': 'general',
'geofence': {'coordinates': [[[78.43784273760974,
17.44743855664762],
[78.45668206239024,
17.44743855664762],
[78.45668206239024,
17.465410243352377],
[78.43784273760974,
17.465410243352377],
[78.43784273760974,
17.44743855664762]]],
'type': 'Polygon'},
'housecallid': '998987171790f172b97a7981a8902af1',
'lastupdated': 'Fri, 22 Jun 2018 18:36:50 GMT',
'requester': {'addr1': 'xx xxx, ',
'addr2': 'xx xx xxxx',
'addr3': 'xxx xxx',
'addrstate': 'xx',
'city': 'xxxx',
'dob': 'xxxx-xx-xx',
'email': 'xxxx@xxxx',
'fname': 'xx',
'lname': 'xx',
'location': {'coordinates': [78.4472624,
17.4564244],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xxxx'},
'requesttime': 'Fri, 22 Jun 2018 04:42:11 GMT',
'responder': {'addr1': 'xxxx xxxx',
'addr2': 'xx xx xx',
'addr3': 'xxxx xxxx',
'addrstate': 'xxxx',
'city': 'xxxx',
'email': 'xxx@xxxx',
'fname': 'xxxxx',
'lname': 'xxxx',
'location': {'coordinates': [78.4471904,
17.456458],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xx'},
'responsetime': 'Fri, 22 Jun 2018 04:43:05 GMT',
'status': 'missed'}]},
'cancelled': {'count': 0, 'data': []},
'closed': {'count': 0, 'data': []},
'confirmed': {'count': 0, 'data': []},
'missed': {'count': 2,
'data': [{'arrivalby': 'Wed, 20 Jun 2018 09:39:00 GMT',
'closesat': 'Wed, 20 Jun 2018 06:05:40 GMT',
'doctype': 'general',
'geofence': {'coordinates': [[[78.43786473803105,
17.447430456650043],
[78.45670406196896,
17.447430456650043],
[78.45670406196896,
17.46540214334996],
[78.43786473803105,
17.46540214334996],
[78.43786473803105,
17.447430456650043]]],
'type': 'Polygon'},
'housecallid': '591ce42e9b53f96ea393934f61fab25d',
'lastupdated': 'Fri, 22 Jun 2018 04:32:14 GMT',
'requester': {'addr1': 'xx xx xxx',
'addr2': 'xx xx xxxx',
'addr3': 'xx xx',
'addrstate': 'xxxxxx',
'city': 'xxxxx',
'dob': 'xx/xx/xxxx',
'email': 'xx@xxx',
'fname': 'xx',
'lname': 'xxx',
'location': {'coordinates': [78.4472844,
17.4564163],
'type': 'Point'},
'mobile': xx,
'sex': 'xx'},
'requesttime': 'Wed, 20 Jun 2018 00:05:40 GMT',
'responder': {'addr1': 'xx xx',
'addr2': 'xx xx xxxx',
'addr3': 'xx xx',
'addrstate': 'xx',
'city': 'xx',
'email': 'xx@xx',
'fname': 'xx',
'lname': 'xx',
'location': {'coordinates': [78.4471904,
17.456458],
'type': 'Point'},
'mobile': xxxx,
'sex': 'xx'},
'responsetime': 'Wed, 20 Jun 2018 00:09:37 GMT',
'status': 'missed'},
{'arrivalby': 'Sat, 23 Jun 2018 10:13:00 GMT',
'closesat': 'Fri, 22 Jun 2018 10:42:11 GMT',
'doctype': 'general',
'geofence': {'coordinates': [[[78.43784273760974,
17.44743855664762],
[78.45668206239024,
17.44743855664762],
[78.45668206239024,
17.465410243352377],
[78.43784273760974,
17.465410243352377],
[78.43784273760974,
17.44743855664762]]],
'type': 'Polygon'},
'housecallid': '998987171790f172b97a7981a8902af1',
'lastupdated': 'Fri, 22 Jun 2018 18:36:50 GMT',
'requester': {'addr1': 'xxx xxx, ',
'addr2': 'xx xx xxxx',
'addr3': 'xx xx',
'addrstate': 'xxx',
'city': 'xxx',
'dob': 'xxxx-xx-xx',
'email': 'xxxx@xxxx',
'fname': 'xx',
'lname': 'xx',
'location': {'coordinates': [78.4472624,
17.4564244],
'type': 'Point'},
'mobile': xxxxx,
'sex': 'xx'},
'requesttime': 'Fri, 22 Jun 2018 04:42:11 GMT',
'responder': {'addr1': 'xx xx',
'addr2': 'xx xx xxxx',
'addr3': 'xx xx',
'addrstate': 'xx',
'city': 'xxxx',
'email': 'xxxx@xxxx',
'fname': 'xx',
'lname': 'xx',
'location': {'coordinates': [78.4471904,
17.456458],
'type': 'Point'},
'mobile': xx,
'sex': 'xxxx'},
'responsetime': 'Fri, 22 Jun 2018 04:43:05 GMT',
'status': 'missed'}]}}, 'success': True}
更新 - 2018 年 6 月 24 日
帕特里克，谢谢你的回答。我已经接受它是正确的。
但是，在我的编辑中，我谈到了列表是一个元素的想法，因此我添加了以下代码（对于那些正在寻找绕过 jsonify 错误的方法的人）。
def datetoStr(datadict):
from copy import deepcopy
# deepcopy before data manipulation
if 'dict' in str(type(datadict)):
newdict = deepcopy(datadict)
for key,value in datadict.items():
# recurse into nested dicts
if isinstance(value, dict):
newdict[key] = datetoStr(datadict[key])
# convert to string
elif isinstance(value, datetime):
newdict[key] = str(datadict[key])
# if list, iterate through elements and replace
elif isinstance(datadict[key], list):
newlist = datadict[key].copy()
counter = 0
for element in datadict[key]:
newlist[counter] = datetoStr(datadict[key][counter])
counter += 1
newdict[key] = newlist
return newdict
else:
return datadict
如果您使用 dict.items()，您可以稍微简化您的代码，它直接为您提供用于迭代的键和值：
from copy import deepcopy
import datetime
def datetoStr(datadict):
# deepcopy before data manipulation
newdict = deepcopy(datadict)
for key,value in datadict.items():
# recurse into nested dicts
if isinstance(value, dict):
newdict[key] = datetoStr(datadict[key])
# convert to string
elif isinstance(value, datetime.datetime):
newdict[key] = str(datadict[key])
return newdict
before = { "a date": datetime.datetime.now(),
"a dict": { "another": datetime.datetime.now() + datetime.timedelta(hours=2)}}
print(before)
# get the modified copy of before
transformedDict = datetoStr(before)
print(transformedDict)
输出：
# before
{'a date': datetime.datetime(2018, 6, 23, 21, 54, 12, 806419),
'a dict': {'another': datetime.datetime(2018, 6, 23, 23, 54, 12, 806421)}}
# transformedDict
{'a date': '2018-06-23 21:54:12.806419',
'a dict': {'another': '2018-06-23 23:54:12.806421'}}