Python 将数据帧数据附加到json文件而不删除以前的内容
让我先说我是一个新手，这段代码可能很难看。 我试图将dataframe数据附加到json文件中，而不在每次后续运行时删除json数据的先前内容Python 将数据帧数据附加到json文件而不删除以前的内容,python,json,pandas,Python,Json,Pandas,让我先说我是一个新手，这段代码可能很难看。 我试图将dataframe数据附加到json文件中，而不在每次后续运行时删除json数据的先前内容 import json import pandas as pd import datetime json_backup = 'temp.json' df_store = pd.DataFrame(columns=["Time", "Average Rate"]) while True: #doing some data gathering (c
import json
import pandas as pd
import datetime
json_backup = 'temp.json'
df_store = pd.DataFrame(columns=["Time", "Average Rate"])
while True:
#doing some data gathering (code not included here) at each loop
df_store = df_store.append({
"Time": datetime.datetime.now(),
"Average Rate": average_rate
}, ignore_index=True)
df_store.to_json(json_backup)
backup = pd.read_json(json_backup)
print (backup)
我应该如何继续，以便保留这些数据，并将所有新数据添加到json文件中？我认为，如果
'temp.json'开始之前阅读'temp.json'
循环到df_store
变量中 @Tamis，请尝试下面的代码只需复制代码（Python3），粘贴，运行
：
注意：我将平均速率的初始值作为日期时间的微秒部分。现在（）只是为了测试代码。您可以根据您的逻辑计算其值，因此请更改它
您不需要创建任何temp.json文件。它将自动创建
只需将append_data_的内容复制到_json-v2-py3.py文件中，粘贴然后运行
每次更新temp.json后，按Y/Y继续，否则按任何其他键退出while循环
»将_数据_附加到_json-v2-py3.py
»首次运行
»第二次运行：
»第三次运行
就我所知，你不能。一种解决方法是加载当前文件（df_old=pd.read_json（json_backup）
），然后连接两个数据帧（可能与df_old.append（df_store）
类似），最后保存连接的数据帧（df_old.to_json（json_backup）
）也许你也可以看看：谢谢Kostas Mouratidis，你是对的，这是不可能做到的。为什么会有这么多重复的代码和赤裸裸的异常？人们可能会从你的帖子中学到这一点！@Evgeny，我不明白，你说的是代码的哪一部分。重复的代码？大部分代码都在尝试中，除非你注意到了，那就是correct。我们可以设计一个代码块并将其放在其中，但它只有3-4行代码，所以我认为，不要用2个函数调用使问题变得更复杂。因此，完全取决于程序员如何设计代码。使用函数来消除代码重复很好。谢谢。最好做出好的编程决策，对吗？是的异常？也许您知道可能会发生什么样的错误？
import json
import pandas as pd
import datetime
import time # {Added}
json_backup = 'temp.json'
df_store = pd.DataFrame(columns=["Time", "Average Rate"])
average_rate = 50 # {Added}
count = 1 # {Added}
while True:
# Doing some data gathering (code not included here) at each loop
time_data = str(datetime.datetime.now())
# Store micro seconds of datetime as average
# (For test only, use your own logic to calculate it)
# In case of 2018-06-03 18:44:56.220778 => 220778
average_rate = int((time_data.split()[1]).split('.')[1])
try:
df_store = pd.read_json(json_backup)
df_store = df_store.append({
"Time": time_data,
"Average Rate": average_rate
}, ignore_index=True)
df_store.to_json(json_backup)
print (df_store)
print ("***********************************************")
except Exception as e:
df_store = df_store.append({
"Time": time_data,
"Average Rate": average_rate
}, ignore_index=True)
df_store.to_json(json_backup)
print(df_store)
print("***********************************************")
# time.sleep(30.0 - ((time.time() - starttime) % 30.0)) # {Commented}
print(count, "temp.json updated")
# If user presses Y/y then continue otherwise exit from loop
choice = input("\n" + str(count) + " Do you want to continue the operation (Y/N): ")
if choice == 'y' or choice == 'Y':
count = count + 1
continue
else:
break
(py3.6) H:\RishikeshAgrawani\Projects\Python3\Pandas>python append_data_to_json-v2-py3.py
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
***********************************************
1 temp.json updated
1 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
***********************************************
2 temp.json updated
2 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:52:02.325613 325613
***********************************************
3 temp.json updated
3 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:52:02.325613 325613
3 2018-06-03 18:52:03.508673 508673
***********************************************
4 temp.json updated
4 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:52:02.325613 325613
3 2018-06-03 18:52:03.508673 508673
4 2018-06-03 18:52:07.772553 772553
***********************************************
5 temp.json updated
5 Do you want to continue the operation (Y/N): n
(py3.6) H:\RishikeshAgrawani\Projects\Python3\Pandas>python append_data_to_json-v2-py3.py
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:52:02.325613 325613
3 2018-06-03 18:52:03.508673 508673
4 2018-06-03 18:52:07.772553 772553
5 2018-06-03 18:53:52.484954 484954
***********************************************
1 temp.json updated
1 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:52:02.325613 325613
3 2018-06-03 18:52:03.508673 508673
4 2018-06-03 18:52:07.772553 772553
5 2018-06-03 18:53:52.484954 484954
6 2018-06-03 18:53:54.733274 733274
***********************************************
2 temp.json updated
2 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:52:02.325613 325613
3 2018-06-03 18:52:03.508673 508673
4 2018-06-03 18:52:07.772553 772553
5 2018-06-03 18:53:52.484954 484954
6 2018-06-03 18:53:54.733274 733274
7 2018-06-03 18:53:57.037358 37358
***********************************************
3 temp.json updated
3 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:52:02.325613 325613
3 2018-06-03 18:52:03.508673 508673
4 2018-06-03 18:52:07.772553 772553
5 2018-06-03 18:53:52.484954 484954
6 2018-06-03 18:53:54.733274 733274
7 2018-06-03 18:53:57.037358 37358
8 2018-06-03 18:53:58.437644 437644
***********************************************
4 temp.json updated
4 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:52:02.325613 325613
3 2018-06-03 18:52:03.508673 508673
4 2018-06-03 18:52:07.772553 772553
5 2018-06-03 18:53:52.484954 484954
6 2018-06-03 18:53:54.733274 733274
7 2018-06-03 18:53:57.037358 37358
8 2018-06-03 18:53:58.437644 437644
9 2018-06-03 18:53:59.181472 181472
***********************************************
5 temp.json updated
5 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:52:02.325613 325613
3 2018-06-03 18:52:03.508673 508673
4 2018-06-03 18:52:07.772553 772553
5 2018-06-03 18:53:52.484954 484954
6 2018-06-03 18:53:54.733274 733274
7 2018-06-03 18:53:57.037358 37358
8 2018-06-03 18:53:58.437644 437644
9 2018-06-03 18:53:59.181472 181472
10 2018-06-03 18:53:59.805276 805276
***********************************************
6 temp.json updated
6 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:53:59.805276 805276
3 2018-06-03 18:52:02.325613 325613
4 2018-06-03 18:52:03.508673 508673
5 2018-06-03 18:52:07.772553 772553
6 2018-06-03 18:53:52.484954 484954
7 2018-06-03 18:53:54.733274 733274
8 2018-06-03 18:53:57.037358 37358
9 2018-06-03 18:53:58.437644 437644
10 2018-06-03 18:53:59.181472 181472
11 2018-06-03 18:54:00.436774 436774
***********************************************
7 temp.json updated
7 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:53:59.181472 181472
3 2018-06-03 18:54:00.436774 436774
4 2018-06-03 18:53:59.805276 805276
5 2018-06-03 18:52:02.325613 325613
6 2018-06-03 18:52:03.508673 508673
7 2018-06-03 18:52:07.772553 772553
8 2018-06-03 18:53:52.484954 484954
9 2018-06-03 18:53:54.733274 733274
10 2018-06-03 18:53:57.037358 37358
11 2018-06-03 18:53:58.437644 437644
12 2018-06-03 18:54:00.997659 997659
***********************************************
8 temp.json updated
8 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:53:57.037358 37358
3 2018-06-03 18:53:58.437644 437644
4 2018-06-03 18:54:00.997659 997659
5 2018-06-03 18:53:59.181472 181472
6 2018-06-03 18:54:00.436774 436774
7 2018-06-03 18:53:59.805276 805276
8 2018-06-03 18:52:02.325613 325613
9 2018-06-03 18:52:03.508673 508673
10 2018-06-03 18:52:07.772553 772553
11 2018-06-03 18:53:52.484954 484954
12 2018-06-03 18:53:54.733274 733274
13 2018-06-03 18:54:01.549498 549498
***********************************************
9 temp.json updated
9 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:52:07.772553 772553
3 2018-06-03 18:53:52.484954 484954
4 2018-06-03 18:53:54.733274 733274
5 2018-06-03 18:54:01.549498 549498
6 2018-06-03 18:53:57.037358 37358
7 2018-06-03 18:53:58.437644 437644
8 2018-06-03 18:54:00.997659 997659
9 2018-06-03 18:53:59.181472 181472
10 2018-06-03 18:54:00.436774 436774
11 2018-06-03 18:53:59.805276 805276
12 2018-06-03 18:52:02.325613 325613
13 2018-06-03 18:52:03.508673 508673
14 2018-06-03 18:54:02.061568 61568
***********************************************
10 temp.json updated
10 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:54:00.436774 436774
3 2018-06-03 18:53:59.805276 805276
4 2018-06-03 18:52:02.325613 325613
5 2018-06-03 18:52:03.508673 508673
6 2018-06-03 18:54:02.061568 61568
7 2018-06-03 18:52:07.772553 772553
8 2018-06-03 18:53:52.484954 484954
9 2018-06-03 18:53:54.733274 733274
10 2018-06-03 18:54:01.549498 549498
11 2018-06-03 18:53:57.037358 37358
12 2018-06-03 18:53:58.437644 437644
13 2018-06-03 18:54:00.997659 997659
14 2018-06-03 18:53:59.181472 181472
15 2018-06-03 18:54:03.420695 420695
***********************************************
11 temp.json updated
11 Do you want to continue the operation (Y/N): n
(py3.6) H:\RishikeshAgrawani\Projects\Python3\Pandas>python append_data_to_json-v2-py3.py
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:54:01.549498 549498
3 2018-06-03 18:53:57.037358 37358
4 2018-06-03 18:53:58.437644 437644
5 2018-06-03 18:54:00.997659 997659
6 2018-06-03 18:53:59.181472 181472
7 2018-06-03 18:54:03.420695 420695
8 2018-06-03 18:54:00.436774 436774
9 2018-06-03 18:53:59.805276 805276
10 2018-06-03 18:52:02.325613 325613
11 2018-06-03 18:52:03.508673 508673
12 2018-06-03 18:54:02.061568 61568
13 2018-06-03 18:52:07.772553 772553
14 2018-06-03 18:53:52.484954 484954
15 2018-06-03 18:53:54.733274 733274
16 2018-06-03 18:55:39.415698 415698
***********************************************
1 temp.json updated
1 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:52:02.325613 325613
3 2018-06-03 18:52:03.508673 508673
4 2018-06-03 18:54:02.061568 61568
5 2018-06-03 18:52:07.772553 772553
6 2018-06-03 18:53:52.484954 484954
7 2018-06-03 18:53:54.733274 733274
8 2018-06-03 18:55:39.415698 415698
9 2018-06-03 18:54:01.549498 549498
10 2018-06-03 18:53:57.037358 37358
11 2018-06-03 18:53:58.437644 437644
12 2018-06-03 18:54:00.997659 997659
13 2018-06-03 18:53:59.181472 181472
14 2018-06-03 18:54:03.420695 420695
15 2018-06-03 18:54:00.436774 436774
16 2018-06-03 18:53:59.805276 805276
17 2018-06-03 18:55:41.861641 861641
***********************************************
2 temp.json updated
2 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:53:57.037358 37358
3 2018-06-03 18:53:58.437644 437644
4 2018-06-03 18:54:00.997659 997659
5 2018-06-03 18:53:59.181472 181472
6 2018-06-03 18:54:03.420695 420695
7 2018-06-03 18:54:00.436774 436774
8 2018-06-03 18:53:59.805276 805276
9 2018-06-03 18:55:41.861641 861641
10 2018-06-03 18:52:02.325613 325613
11 2018-06-03 18:52:03.508673 508673
12 2018-06-03 18:54:02.061568 61568
13 2018-06-03 18:52:07.772553 772553
14 2018-06-03 18:53:52.484954 484954
15 2018-06-03 18:53:54.733274 733274
16 2018-06-03 18:55:39.415698 415698
17 2018-06-03 18:54:01.549498 549498
18 2018-06-03 18:55:44.381318 381318
***********************************************
3 temp.json updated
3 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:52:02.325613 325613
3 2018-06-03 18:52:03.508673 508673
4 2018-06-03 18:54:02.061568 61568
5 2018-06-03 18:52:07.772553 772553
6 2018-06-03 18:53:52.484954 484954
7 2018-06-03 18:53:54.733274 733274
8 2018-06-03 18:55:39.415698 415698
9 2018-06-03 18:54:01.549498 549498
10 2018-06-03 18:55:44.381318 381318
11 2018-06-03 18:53:57.037358 37358
12 2018-06-03 18:53:58.437644 437644
13 2018-06-03 18:54:00.997659 997659
14 2018-06-03 18:53:59.181472 181472
15 2018-06-03 18:54:03.420695 420695
16 2018-06-03 18:54:00.436774 436774
17 2018-06-03 18:53:59.805276 805276
18 2018-06-03 18:55:41.861641 861641
19 2018-06-03 18:55:45.181318 181318
***********************************************
4 temp.json updated
4 Do you want to continue the operation (Y/N): y
Time Average Rate
0 2018-06-03 18:51:57.506959 506959
1 2018-06-03 18:52:00.925554 925554
2 2018-06-03 18:55:44.381318 381318
3 2018-06-03 18:53:57.037358 37358
4 2018-06-03 18:53:58.437644 437644
5 2018-06-03 18:54:00.997659 997659
6 2018-06-03 18:53:59.181472 181472
7 2018-06-03 18:54:03.420695 420695
8 2018-06-03 18:54:00.436774 436774
9 2018-06-03 18:53:59.805276 805276
10 2018-06-03 18:55:41.861641 861641
11 2018-06-03 18:55:45.181318 181318
12 2018-06-03 18:52:02.325613 325613
13 2018-06-03 18:52:03.508673 508673
14 2018-06-03 18:54:02.061568 61568
15 2018-06-03 18:52:07.772553 772553
16 2018-06-03 18:53:52.484954 484954
17 2018-06-03 18:53:54.733274 733274
18 2018-06-03 18:55:39.415698 415698
19 2018-06-03 18:54:01.549498 549498
20 2018-06-03 18:55:45.765547 765547
***********************************************
5 temp.json updated
5 Do you want to continue the operation (Y/N): n