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Append missing but valid key (no linked table) – using JSON to CSV

I am trying to convert a JSON file into a CSV format. The JSON file has both json and valid keys. The valid keys are not in a linked table. The missing keys are valid if they are in the current JSON file. I have tried the json2csv.py module. But that works on valid key I need to skip/ignore the key when it is missing from the JSON file.

A:

You can try this csv2json tool ( and specify the header as parameter, set the missing key as “null”.
I know that this tool does not delete null values but if you are ok with that then this might do what you want:
import json
import csv

def my_writer(fout, headers):
writer = csv.DictWriter(fout, fieldnames=headers)
writer.writerow([‘name’, ‘address’])

for person in json.load(open(“people.json”)):
name = person.get(“name”)
if name == ‘null’:
name = “”

address = person.get(“address”)
if address

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Category:Utilities for Windows
Category:Utilities for WindowsQ:

How to convert a string to datetime value in python

if I have a string such as ’01/01/2012 08:04:05′
and want to parse it to a date object, how to do it?
I tried
import time

time_string = ’01/01/2012 08:04:05′
date_obj = time.strptime(time_string, ‘%d/%m/%Y %H:%M:%S’)

A:

Option 1:
In [1]: from datetime import datetime

In [2]: from string import ascii_letters

In [3]: ascii_letters[0:2] + ascii_letters[2:4] + ascii_letters[4:7] + ascii_letters[7:9] + ascii_letters[9:10]
Out[3]: ‘0101201208’

In [4]: dt = datetime.strptime(‘0101201208’, ‘%d%m%Y%H%M’)

In [5]: dt
Out[5]: datetime.datetime(2012, 1, 1, 8, 0)

Option 2:
Yes, if by date object you mean DateTime object.
In [1]: import date

In [2]: d = date.datetime.strptime(’01/01/2012 08:04:05′, ‘%d/%m/%Y %H:%M:%S’)

In [3]: d
Out[3]: datetime.datetime(2012, 1, 1, 8, 0, 5)

Option 3:
If you have a string of a
3da54e8ca3

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