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json.dump not correctly saving json object
Safely turning a JSON string into an objectHow do I format a Microsoft JSON date?Can comments be used in JSON?How can I pretty-print JSON in a shell script?What is the correct JSON content type?How do I test for an empty JavaScript object?Why does Google prepend while(1); to their JSON responses?How can I pretty-print JSON using JavaScript?Parse JSON in JavaScript?How do I POST JSON data with Curl from a terminal/commandline to Test Spring REST?
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I have a function that plots data on a graph fetched from a website, that data is serialized in dictionaries and saved to a file named 'data.json'. The first dictionary is saved without any outstanding issues, however the second dictionary accurately saves all but the newest entry to the dictionary.
I've tried saving the data in different ways, all resulting in the same issue. I've narrowed it down to the save_data() function, after a considerable amount of time surfing the World Wide Web I am still at an impasse.
Here is the save_data function:
def save_data():
with open('./data.json', 'w') as data_file:
json_object =
"sig_count_diff": ,
"total_sig_count":
for key, value in total_signature_count.items():
# print("For signature_count_difference: Key: " + str(key) + " Value: " + str(value))
json_object["total_sig_count"].update(str(key): value)
for key1, value1 in signature_count_difference.items():
# print("For signature_count_difference: Key1: " + str(key1) + " Value1: " + str(value1))
json_object["sig_count_diff"].update(str(key1): value1)
print(json_object)
json.dump(json_object, data_file)
Here is the animate function:
def animate(i):
raw_data = request.urlopen('https://petition.parliament.uk/petitions/241584.json').read()
json_data = json.loads(raw_data)
signature_count = json_data["data"]["attributes"]["signature_count"]
last_updated = parser.parse(json_data["data"]["attributes"]["updated_at"])
print("Last Updated: " + str(last_updated))
ax1.clear()
if len(total_signature_count) >= 1:
last_sig_key = total_signature_count[list(total_signature_count.keys())[-1]]
if last_sig_key == last_updated:
return
last_signature_count = total_signature_count[list(total_signature_count.keys())[-1]]
difference = signature_count - last_signature_count
if (difference > 0):
print("Difference: " + str(difference) + " Last Signature Count: " + str(last_signature_count) + " Signature Count: " + str(signature_count))
signature_count_difference.update(last_updated: difference)
print(signature_count_difference)
ax1.plot(signature_count_difference.keys(), signature_count_difference.values(), label="Unique Signatures")
print(signature_count_difference)
total_signature_count.update(last_updated: signature_count)
save_data()
ax1.plot(total_signature_count.keys(), total_signature_count.values(), label="Total Signature Count")
Here is a snippet of the console log:
Last Updated: 2019-03-23 20:49:37.538000+00:00
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0
'sig_count_diff': '2019-03-23 20:41:38.520000+00:00': 0, '2019-03-23 20:45:38.572000+00:00': 0, '2019-03-23 20:49:37.538000+00:00': 0, 'total_sig_count': '2019-03-23 20:41:38.520000+00:00': 4648091, '2019-03-23 20:45:38.572000+00:00': 4651211, '2019-03-23 20:49:37.538000+00:00': 4654220
Last Updated: 2019-03-23 20:53:36.186000+00:00
=======> Difference: 3000 Last Signature Count: 4654220 Signature Count: 4657220
=== (signature_count_difference dict before it is saved)> datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 3000
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 3000
=== (The JSON object supposedly saved)> 'sig_count_diff': '2019-03-23 20:41:38.520000+00:00': 0, '2019-03-23 20:45:38.572000+00:00': 0, '2019-03-23 20:49:37.538000+00:00': 0, '2019-03-23 20:53:36.186000+00:00': 3000, 'total_sig_count': '2019-03-23 20:41:38.520000+00:00': 4648091, '2019-03-23 20:45:38.572000+00:00': 4651211, '2019-03-23 20:49:37.538000+00:00': 4654220, '2019-03-23 20:53:36.186000+00:00': 4657220
Last Updated: 2019-03-23 20:53:36.186000+00:00
=== (The next iteration of animate, difference. The difference value (3000) doesn't seem to have been saved) >datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 0
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 0
=== (JSON object of the next iteration, no entry with the value '3000' to be seen) > 'sig_count_diff': '2019-03-23 20:41:38.520000+00:00': 0, '2019-03-23 20:45:38.572000+00:00': 0, '2019-03-23 20:49:37.538000+00:00': 0, '2019-03-23 20:53:36.186000+00:00': 0, 'total_sig_count': '2019-03-23 20:41:38.520000+00:00': 4648091, '2019-03-23 20:45:38.572000+00:00': 4651211, '2019-03-23 20:49:37.538000+00:00': 4654220, '2019-03-23 20:53:36.186000+00:00': 4657220
Last Updated: 2019-03-23 20:53:36.186000+00:00
I expected the result to be saved and the value to be plotted on the graph.
python json matplotlib
asked Mar 23 at 21:08
Duke Jake MorganDuke Jake Morgan
217
add a comment |
I have a function that plots data on a graph fetched from a website, that data is serialized in dictionaries and saved to a file named 'data.json'. The first dictionary is saved without any outstanding issues, however the second dictionary accurately saves all but the newest entry to the dictionary.
I've tried saving the data in different ways, all resulting in the same issue. I've narrowed it down to the save_data() function, after a considerable amount of time surfing the World Wide Web I am still at an impasse.
Here is the save_data function:
def save_data():
with open('./data.json', 'w') as data_file:
json_object =
"sig_count_diff": ,
"total_sig_count":
for key, value in total_signature_count.items():
# print("For signature_count_difference: Key: " + str(key) + " Value: " + str(value))
json_object["total_sig_count"].update(str(key): value)
for key1, value1 in signature_count_difference.items():
# print("For signature_count_difference: Key1: " + str(key1) + " Value1: " + str(value1))
json_object["sig_count_diff"].update(str(key1): value1)
print(json_object)
json.dump(json_object, data_file)
Here is the animate function:
def animate(i):
raw_data = request.urlopen('https://petition.parliament.uk/petitions/241584.json').read()
json_data = json.loads(raw_data)
signature_count = json_data["data"]["attributes"]["signature_count"]
last_updated = parser.parse(json_data["data"]["attributes"]["updated_at"])
print("Last Updated: " + str(last_updated))
ax1.clear()
if len(total_signature_count) >= 1:
last_sig_key = total_signature_count[list(total_signature_count.keys())[-1]]
if last_sig_key == last_updated:
return
last_signature_count = total_signature_count[list(total_signature_count.keys())[-1]]
difference = signature_count - last_signature_count
if (difference > 0):
print("Difference: " + str(difference) + " Last Signature Count: " + str(last_signature_count) + " Signature Count: " + str(signature_count))
signature_count_difference.update(last_updated: difference)
print(signature_count_difference)
ax1.plot(signature_count_difference.keys(), signature_count_difference.values(), label="Unique Signatures")
print(signature_count_difference)
total_signature_count.update(last_updated: signature_count)
save_data()
ax1.plot(total_signature_count.keys(), total_signature_count.values(), label="Total Signature Count")
Here is a snippet of the console log:
Last Updated: 2019-03-23 20:49:37.538000+00:00
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0
'sig_count_diff': '2019-03-23 20:41:38.520000+00:00': 0, '2019-03-23 20:45:38.572000+00:00': 0, '2019-03-23 20:49:37.538000+00:00': 0, 'total_sig_count': '2019-03-23 20:41:38.520000+00:00': 4648091, '2019-03-23 20:45:38.572000+00:00': 4651211, '2019-03-23 20:49:37.538000+00:00': 4654220
Last Updated: 2019-03-23 20:53:36.186000+00:00
=======> Difference: 3000 Last Signature Count: 4654220 Signature Count: 4657220
=== (signature_count_difference dict before it is saved)> datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 3000
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 3000
=== (The JSON object supposedly saved)> 'sig_count_diff': '2019-03-23 20:41:38.520000+00:00': 0, '2019-03-23 20:45:38.572000+00:00': 0, '2019-03-23 20:49:37.538000+00:00': 0, '2019-03-23 20:53:36.186000+00:00': 3000, 'total_sig_count': '2019-03-23 20:41:38.520000+00:00': 4648091, '2019-03-23 20:45:38.572000+00:00': 4651211, '2019-03-23 20:49:37.538000+00:00': 4654220, '2019-03-23 20:53:36.186000+00:00': 4657220
Last Updated: 2019-03-23 20:53:36.186000+00:00
=== (The next iteration of animate, difference. The difference value (3000) doesn't seem to have been saved) >datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 0
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 0
=== (JSON object of the next iteration, no entry with the value '3000' to be seen) > 'sig_count_diff': '2019-03-23 20:41:38.520000+00:00': 0, '2019-03-23 20:45:38.572000+00:00': 0, '2019-03-23 20:49:37.538000+00:00': 0, '2019-03-23 20:53:36.186000+00:00': 0, 'total_sig_count': '2019-03-23 20:41:38.520000+00:00': 4648091, '2019-03-23 20:45:38.572000+00:00': 4651211, '2019-03-23 20:49:37.538000+00:00': 4654220, '2019-03-23 20:53:36.186000+00:00': 4657220
Last Updated: 2019-03-23 20:53:36.186000+00:00
I expected the result to be saved and the value to be plotted on the graph.
python json matplotlib
asked Mar 23 at 21:08
Duke Jake MorganDuke Jake Morgan
217
add a comment |
I have a function that plots data on a graph fetched from a website, that data is serialized in dictionaries and saved to a file named 'data.json'. The first dictionary is saved without any outstanding issues, however the second dictionary accurately saves all but the newest entry to the dictionary.
I've tried saving the data in different ways, all resulting in the same issue. I've narrowed it down to the save_data() function, after a considerable amount of time surfing the World Wide Web I am still at an impasse.
Here is the save_data function:
def save_data():
with open('./data.json', 'w') as data_file:
json_object =
"sig_count_diff": ,
"total_sig_count":
for key, value in total_signature_count.items():
# print("For signature_count_difference: Key: " + str(key) + " Value: " + str(value))
json_object["total_sig_count"].update(str(key): value)
for key1, value1 in signature_count_difference.items():
# print("For signature_count_difference: Key1: " + str(key1) + " Value1: " + str(value1))
json_object["sig_count_diff"].update(str(key1): value1)
print(json_object)
json.dump(json_object, data_file)
Here is the animate function:
def animate(i):
raw_data = request.urlopen('https://petition.parliament.uk/petitions/241584.json').read()
json_data = json.loads(raw_data)
signature_count = json_data["data"]["attributes"]["signature_count"]
last_updated = parser.parse(json_data["data"]["attributes"]["updated_at"])
print("Last Updated: " + str(last_updated))
ax1.clear()
if len(total_signature_count) >= 1:
last_sig_key = total_signature_count[list(total_signature_count.keys())[-1]]
if last_sig_key == last_updated:
return
last_signature_count = total_signature_count[list(total_signature_count.keys())[-1]]
difference = signature_count - last_signature_count
if (difference > 0):
print("Difference: " + str(difference) + " Last Signature Count: " + str(last_signature_count) + " Signature Count: " + str(signature_count))
signature_count_difference.update(last_updated: difference)
print(signature_count_difference)
ax1.plot(signature_count_difference.keys(), signature_count_difference.values(), label="Unique Signatures")
print(signature_count_difference)
total_signature_count.update(last_updated: signature_count)
save_data()
ax1.plot(total_signature_count.keys(), total_signature_count.values(), label="Total Signature Count")
Here is a snippet of the console log:
Last Updated: 2019-03-23 20:49:37.538000+00:00
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0
'sig_count_diff': '2019-03-23 20:41:38.520000+00:00': 0, '2019-03-23 20:45:38.572000+00:00': 0, '2019-03-23 20:49:37.538000+00:00': 0, 'total_sig_count': '2019-03-23 20:41:38.520000+00:00': 4648091, '2019-03-23 20:45:38.572000+00:00': 4651211, '2019-03-23 20:49:37.538000+00:00': 4654220
Last Updated: 2019-03-23 20:53:36.186000+00:00
=======> Difference: 3000 Last Signature Count: 4654220 Signature Count: 4657220
=== (signature_count_difference dict before it is saved)> datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 3000
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 3000
=== (The JSON object supposedly saved)> 'sig_count_diff': '2019-03-23 20:41:38.520000+00:00': 0, '2019-03-23 20:45:38.572000+00:00': 0, '2019-03-23 20:49:37.538000+00:00': 0, '2019-03-23 20:53:36.186000+00:00': 3000, 'total_sig_count': '2019-03-23 20:41:38.520000+00:00': 4648091, '2019-03-23 20:45:38.572000+00:00': 4651211, '2019-03-23 20:49:37.538000+00:00': 4654220, '2019-03-23 20:53:36.186000+00:00': 4657220
Last Updated: 2019-03-23 20:53:36.186000+00:00
=== (The next iteration of animate, difference. The difference value (3000) doesn't seem to have been saved) >datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 0
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 0
=== (JSON object of the next iteration, no entry with the value '3000' to be seen) > 'sig_count_diff': '2019-03-23 20:41:38.520000+00:00': 0, '2019-03-23 20:45:38.572000+00:00': 0, '2019-03-23 20:49:37.538000+00:00': 0, '2019-03-23 20:53:36.186000+00:00': 0, 'total_sig_count': '2019-03-23 20:41:38.520000+00:00': 4648091, '2019-03-23 20:45:38.572000+00:00': 4651211, '2019-03-23 20:49:37.538000+00:00': 4654220, '2019-03-23 20:53:36.186000+00:00': 4657220
Last Updated: 2019-03-23 20:53:36.186000+00:00
I expected the result to be saved and the value to be plotted on the graph.
python json matplotlib
asked Mar 23 at 21:08
Duke Jake MorganDuke Jake Morgan
217
I have a function that plots data on a graph fetched from a website, that data is serialized in dictionaries and saved to a file named 'data.json'. The first dictionary is saved without any outstanding issues, however the second dictionary accurately saves all but the newest entry to the dictionary.
I've tried saving the data in different ways, all resulting in the same issue. I've narrowed it down to the save_data() function, after a considerable amount of time surfing the World Wide Web I am still at an impasse.
Here is the save_data function:
def save_data():
with open('./data.json', 'w') as data_file:
json_object =
"sig_count_diff": ,
"total_sig_count":
for key, value in total_signature_count.items():
# print("For signature_count_difference: Key: " + str(key) + " Value: " + str(value))
json_object["total_sig_count"].update(str(key): value)
for key1, value1 in signature_count_difference.items():
# print("For signature_count_difference: Key1: " + str(key1) + " Value1: " + str(value1))
json_object["sig_count_diff"].update(str(key1): value1)
print(json_object)
json.dump(json_object, data_file)
Here is the animate function:
def animate(i):
raw_data = request.urlopen('https://petition.parliament.uk/petitions/241584.json').read()
json_data = json.loads(raw_data)
signature_count = json_data["data"]["attributes"]["signature_count"]
last_updated = parser.parse(json_data["data"]["attributes"]["updated_at"])
print("Last Updated: " + str(last_updated))
ax1.clear()
if len(total_signature_count) >= 1:
last_sig_key = total_signature_count[list(total_signature_count.keys())[-1]]
if last_sig_key == last_updated:
return
last_signature_count = total_signature_count[list(total_signature_count.keys())[-1]]
difference = signature_count - last_signature_count
if (difference > 0):
print("Difference: " + str(difference) + " Last Signature Count: " + str(last_signature_count) + " Signature Count: " + str(signature_count))
signature_count_difference.update(last_updated: difference)
print(signature_count_difference)
ax1.plot(signature_count_difference.keys(), signature_count_difference.values(), label="Unique Signatures")
print(signature_count_difference)
total_signature_count.update(last_updated: signature_count)
save_data()
ax1.plot(total_signature_count.keys(), total_signature_count.values(), label="Total Signature Count")
Here is a snippet of the console log:
Last Updated: 2019-03-23 20:49:37.538000+00:00
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0
'sig_count_diff': '2019-03-23 20:41:38.520000+00:00': 0, '2019-03-23 20:45:38.572000+00:00': 0, '2019-03-23 20:49:37.538000+00:00': 0, 'total_sig_count': '2019-03-23 20:41:38.520000+00:00': 4648091, '2019-03-23 20:45:38.572000+00:00': 4651211, '2019-03-23 20:49:37.538000+00:00': 4654220
Last Updated: 2019-03-23 20:53:36.186000+00:00
=======> Difference: 3000 Last Signature Count: 4654220 Signature Count: 4657220
=== (signature_count_difference dict before it is saved)> datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 3000
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 3000
=== (The JSON object supposedly saved)> 'sig_count_diff': '2019-03-23 20:41:38.520000+00:00': 0, '2019-03-23 20:45:38.572000+00:00': 0, '2019-03-23 20:49:37.538000+00:00': 0, '2019-03-23 20:53:36.186000+00:00': 3000, 'total_sig_count': '2019-03-23 20:41:38.520000+00:00': 4648091, '2019-03-23 20:45:38.572000+00:00': 4651211, '2019-03-23 20:49:37.538000+00:00': 4654220, '2019-03-23 20:53:36.186000+00:00': 4657220
Last Updated: 2019-03-23 20:53:36.186000+00:00
=== (The next iteration of animate, difference. The difference value (3000) doesn't seem to have been saved) >datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 0
datetime.datetime(2019, 3, 23, 20, 41, 38, 520000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 45, 38, 572000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 49, 37, 538000, tzinfo=tzutc()): 0, datetime.datetime(2019, 3, 23, 20, 53, 36, 186000, tzinfo=tzutc()): 0
=== (JSON object of the next iteration, no entry with the value '3000' to be seen) > 'sig_count_diff': '2019-03-23 20:41:38.520000+00:00': 0, '2019-03-23 20:45:38.572000+00:00': 0, '2019-03-23 20:49:37.538000+00:00': 0, '2019-03-23 20:53:36.186000+00:00': 0, 'total_sig_count': '2019-03-23 20:41:38.520000+00:00': 4648091, '2019-03-23 20:45:38.572000+00:00': 4651211, '2019-03-23 20:49:37.538000+00:00': 4654220, '2019-03-23 20:53:36.186000+00:00': 4657220
Last Updated: 2019-03-23 20:53:36.186000+00:00
I expected the result to be saved and the value to be plotted on the graph.
python json matplotlib
python json matplotlib
asked Mar 23 at 21:08
Duke Jake MorganDuke Jake Morgan
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asked Mar 23 at 21:08
Duke Jake MorganDuke Jake Morgan
217
asked Mar 23 at 21:08
Duke Jake MorganDuke Jake Morgan
217
asked Mar 23 at 21:08
Duke Jake MorganDuke Jake Morgan
217
asked Mar 23 at 21:08
Duke Jake MorganDuke Jake Morgan
217
217
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2 Answers
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active
oldest
votes
Dictionaries can only contain a given key once. If you call .update(key: val) with a key that's already in the dict, it will replace the old value.
It looks like you're getting the date string key '2019-03-23 20:53:36.186000+00:00' more than once, and when you update the dict, you lose its original value of 3000.
answered Mar 23 at 21:32
John GordonJohn Gordon
11.8k51833
add a comment |
Ahah, I figured out the issue. A rather stupid blunder by myself. The difference is calculated by the last entry value and the current entry value, however they are both the same as I am attempting to calculate the difference after putting the current signature value into the same dictionary as the one I use to pull out the most recent value inserted into it.
I wasn't thinking logically last night!
Forgive the lack of linear thinking,
Thanks!
answered Mar 24 at 15:00
Duke Jake MorganDuke Jake Morgan
217
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
Dictionaries can only contain a given key once. If you call .update(key: val) with a key that's already in the dict, it will replace the old value.
It looks like you're getting the date string key '2019-03-23 20:53:36.186000+00:00' more than once, and when you update the dict, you lose its original value of 3000.
answered Mar 23 at 21:32
John GordonJohn Gordon
11.8k51833
add a comment |
Dictionaries can only contain a given key once. If you call .update(key: val) with a key that's already in the dict, it will replace the old value.
It looks like you're getting the date string key '2019-03-23 20:53:36.186000+00:00' more than once, and when you update the dict, you lose its original value of 3000.
answered Mar 23 at 21:32
John GordonJohn Gordon
11.8k51833
add a comment |
Dictionaries can only contain a given key once. If you call .update(key: val) with a key that's already in the dict, it will replace the old value.
It looks like you're getting the date string key '2019-03-23 20:53:36.186000+00:00' more than once, and when you update the dict, you lose its original value of 3000.
answered Mar 23 at 21:32
John GordonJohn Gordon
11.8k51833
Dictionaries can only contain a given key once. If you call .update(key: val) with a key that's already in the dict, it will replace the old value.
It looks like you're getting the date string key '2019-03-23 20:53:36.186000+00:00' more than once, and when you update the dict, you lose its original value of 3000.
answered Mar 23 at 21:32
John GordonJohn Gordon
11.8k51833
edited Mar 23 at 22:02
answered Mar 23 at 21:32
John GordonJohn Gordon
11.8k51833
answered Mar 23 at 21:32
John GordonJohn Gordon
11.8k51833
answered Mar 23 at 21:32
John GordonJohn Gordon
11.8k51833
11.8k51833
add a comment |
add a comment |
Ahah, I figured out the issue. A rather stupid blunder by myself. The difference is calculated by the last entry value and the current entry value, however they are both the same as I am attempting to calculate the difference after putting the current signature value into the same dictionary as the one I use to pull out the most recent value inserted into it.
I wasn't thinking logically last night!
Forgive the lack of linear thinking,
Thanks!
answered Mar 24 at 15:00
Duke Jake MorganDuke Jake Morgan
217
add a comment |
Ahah, I figured out the issue. A rather stupid blunder by myself. The difference is calculated by the last entry value and the current entry value, however they are both the same as I am attempting to calculate the difference after putting the current signature value into the same dictionary as the one I use to pull out the most recent value inserted into it.
I wasn't thinking logically last night!
Forgive the lack of linear thinking,
Thanks!
answered Mar 24 at 15:00
Duke Jake MorganDuke Jake Morgan
217
add a comment |
Ahah, I figured out the issue. A rather stupid blunder by myself. The difference is calculated by the last entry value and the current entry value, however they are both the same as I am attempting to calculate the difference after putting the current signature value into the same dictionary as the one I use to pull out the most recent value inserted into it.
I wasn't thinking logically last night!
Forgive the lack of linear thinking,
Thanks!
answered Mar 24 at 15:00
Duke Jake MorganDuke Jake Morgan
217
Ahah, I figured out the issue. A rather stupid blunder by myself. The difference is calculated by the last entry value and the current entry value, however they are both the same as I am attempting to calculate the difference after putting the current signature value into the same dictionary as the one I use to pull out the most recent value inserted into it.
I wasn't thinking logically last night!
Forgive the lack of linear thinking,
Thanks!
answered Mar 24 at 15:00
Duke Jake MorganDuke Jake Morgan
217
answered Mar 24 at 15:00
Duke Jake MorganDuke Jake Morgan
217
answered Mar 24 at 15:00
Duke Jake MorganDuke Jake Morgan
217
answered Mar 24 at 15:00
Duke Jake MorganDuke Jake Morgan
217
217
add a comment |
add a comment |
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