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How to prettyprint a JSON file?
(15 answers)
Closed 2 years ago.
I have a json data like
{"Player1": {"inventory": {"tas-count": 5, "kiriktas-count": 0, "odun-count": 0}}}
But it seems too complex. I want to edit, change it like
{
"Player1": {
"inventory": {
"tas-count": 5,
"kiriktas-count": 0,
"odun-count": 0,
}
}
}
I looked for it but there is nothing on Stackoverflow and also things like "\n" are not working. I heard that in other languages, there are libraries for making a clear json data. Might there are some like this in Python.
Here's an example:
>>> import json
>>> print(json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=4))
{
"4": 5,
"6": 7
}
You can check out pretty printing here: https://docs.python.org/3/library/json.html
You can try:
import json
data = {"Player1": {"inventory": {"tas-count": 5, "kiriktas-count": 0, "odun-count": 0}}}
print(json.dumps(data, indent=4, sort_keys=True))
Output:
{
"Player1": {
"inventory": {
"kiriktas-count": 0,
"odun-count": 0,
"tas-count": 5
}
}
}
Related
So, I want to change my info in json file from python, but I am having trouble.
my json file is just info that I want to edit later:
[
{
"codigo": 10,
"Nom_articulo": "jabon",
"valor": 2500,
"cantidad": 6,
"subtotal": 0,
"descuento": 0
},
{
"codigo": 20,
"Nom_articulo": "Crema",
"valor": 9800,
"cantidad": 4,
"subtotal": 0,
"descuento": 0
},
{
"codigo": 30,
"Nom_articulo": "Cepillo",
"valor": 6000,
"cantidad": 7,
"subtotal": 0,
"descuento": 0
},
{
"codigo": 40,
"Nom_articulo": "Servilletas",
"valor": 3000,
"cantidad": 2,
"subtotal": 0,
"descuento": 0
},
{
"codigo": 50,
"Nom_articulo": "Desodorante",
"valor": 5000,
"cantidad": 6,
"subtotal": 0,
"descuento": 0
}
]
I want to change the value of "subtotal" in all my dictionaries.
so basically what I did was:
for i in range(len(archivo_r)):
precio= archivo_r[i]["valor"]
cantidad=archivo_r[i]["cantidad"]
subtotal=precio*cantidad
print(archivo_r[i]["codigo"], " - " ,archivo_r[i]["Nom_articulo"], " = ", str(subtotal))
#almacenar mis subtotales en el archivo json
print("sbtotal" ,archivo_r[i]["subtotal"])
archivo_r[i]["subtotal"]=subtotal
#archivo_r[i]["subtotal"].append(subtotal)
#print(archivo_r)
write_json(**XXXXX**)
This part of the code:
archivo_r[i]["subtotal"]=subtotal does exactly what I need, but (and this could be very silly, but I am a little lost here) I do not know how to use that to re-write my json file. I mean, I have the function to write it.
def write_json(info, nombre_archivo="productos.json"):
with open(nombre_archivo, "w") as p:
json.dump(info, p)
I need to pass the information in write_json(**XXXXX**), but have been trying to storage my archivo_r[i]["subtotal"]=subtotal in a variable to pass it and other things, but nothing work. I know I am doing wrong but not sure how to solve it.
Once you're done processing the data, simply pass archivo_r to your write_json() function and you should be fine.
As an aside, you can iterate directly over the JSON objects like so:
for section in archivo_r:
precio = section["valor"]
...
You can then replace all instances of archivo_r[i] with section, or whatever you want to call the variable.
I've searched and there's a similar problem here but the solution states to fix the json. I really cant fix the json produced as its from a REST API.
{
"__metadata": {
"uri": "http://website:6405/biprws/v1/cmsquery?page=1&pagesize=50"
},
"first": {
"__deferred": {
"uri": "http://website:6405/biprws/v1/cmsquery?page=1&pagesize=50"
}
},
"last": {
"__deferred": {
"uri": "http://website:6405/biprws/v1/cmsquery?page=1&pagesize=50"
}
},
"entries": [
{
"SI_ID": 31543,
"SI_NAME": "Some Client",
"SI_PARENTID": 31414,
"SI_PATH": {
"SI_FOLDER_NAME1": "COR OPS",
"SI_FOLDER_ID1": 31414,
"SI_FOLDER_OBTYPE1": 1,
"SI_FOLDER_NAME2": "CLIENT",
"SI_FOLDER_ID2": 28178,
"SI_FOLDER_OBTYPE2": 1,
"SI_NUM_FOLDERS": 2
}
}
]
}
I need to be able to get the folder names from SI_PATH, but that is where I am having issues. I can access "entries" fine as the whole json is considered as a dict, but the problem is after. If I get "entries", its just a list with a len of 1
import json
data = json.load(open('file.json'))
print(type(data))
print(data['entries])
print(type(data['entries']))
Sample output below:
<class 'dict'>
<class 'list'>
[{'SI_ID': 31543, 'SI_NAME': 'Some Client', 'SI_PARENTID': 31414, 'SI_PATH': {'SI_FOLDER_NAME1': 'COR OPS', 'SI_FOLDER_ID1': 31414, 'SI_FOLDER_OBTYPE1': 1, 'SI_FOLDER_NAME2': 'CLIENT', 'SI_FOLDER_ID2': 28178, 'SI_FOLDER_OBTYPE2': 1, 'SI_NUM_FOLDERS': 2}}]
I can use pandas to put the 'entries' onto a DataFrame and pull in the SI_PATH values, but not sure how to access each of them.
f = pd.DataFrame(data['entries'])
print(f['SI_PATH'].values)
Output of this:
[{'SI_FOLDER_NAME1': 'COR OPS', 'SI_FOLDER_ID1': 31414, 'SI_FOLDER_OBTYPE1': 1, 'SI_FOLDER_NAME2': 'CLIENT', 'SI_FOLDER_ID2': 28178, 'SI_FOLDER_OBTYPE2': 1, 'SI_NUM_FOLDERS': 2}]
But unsure as to how to access the items individual from this point. If possible, really want to stick with just importing json.
Since there is only one item in the list that is data['entries']:
print(data['entries'][0]['SI_ID'])
Prints:
31543
since it is a list of dict, why not
for items in data['entries']:
print(items.get("SI_ID"))
Assuming this is the .JSON file I have to parse:
{
"item": {
"allInventory": {
"onHand": 64,
"total": {
"1000": 0,
"1001": 6,
"1002": 5,
"1003": 3,
"1004": 12,
"1005": 0
}
}
},
"image": {
"tag": "/828402de-6cc8-493e-8abd-935a48a3d766_1.285a6f66ecf3ee434100921a3911ce6c.jpeg?odnHeight=450&odnWidth=450&odnBg=FFFFFF"
}
}
How would I go about printing the total values like:
1000 - 0
1001 - 6
1002 - 5
1003 - 4
1004 - 12
1005 - 0
I have already parsed the values, but I'm unsure of how to actually print them. I've already spent awhile on this and couldn't find a solution so any help is appreciated. Here is my code thus far:
import requests
import json
src = requests.get('https://hastebin.com/raw/nenowimite').json()
stats = src['item']['allInventory']['total']
print(stats)
This can be done through a for loop as follows:
for key in stats.keys():
print(key, '-', stats[key])
Using full Python 3.6 you can do (similarly than Ecir's answer)
for key, value in stats.items():
printf(f'{key} - {value}')
but being clearer about what is the key and the value and using the f-string interpolation.
You are almost there:
for item in stats.items():
print '%d - %d' % item
What this does is that stats is already a dict. Looking at the documentation, there is the items method which returns "a copy of the dictionary’s list of (key, value) pairs". And each pair is formatted as two numbers, i.e. '%d - %d'.
You can try:
>>> import json
>>> data= """{
"item": {
"allInventory": {
"onHand": 64,
"total": {
"1000": 0,
"1001": 6,
"1002": 5,
"1003": 3,
"1004": 12,
"1005": 0
}
}
},
"image": {
"tag": "/828402de-6cc8-493e-8abd-935a48a3d766_1.285a6f66ecf3ee434100921a3911ce6c.jpeg?odnHeight=450&odnWidth=450&odnBg=FFFFFF"
}
}"""
>>> data = json.loads(data)
>>> print data["item"]["allInventory"]["total"]
{'1005': 0, '1004': 12, '1003': 3, '1002': 5, '1001': 6, '1000': 0}
I have a nested JSON and I need "Max" & "Remaining" percentage values from it.
This is sample formula I am thinking of 100-(Remaining/Max)*100=(Value)
Sample JSON:
{
"ConcurrentAsyncGetReportInstances":
{
"Max": 5,
"Remaining": 3
},
"DailyApiRequests":
{
"Max":15000,"Remaining":14108
}
}
This is the JSON output.
I need to add the % value to the key
Sample output:
{
"ConcurrentAsyncGetReportInstances":40,(%value) 100-(5/3)*100
"DailyApiRequests": 5.95(%value) 100-(14108/15000)*100
}
Workarounds:
Tried to do make it a flat JSON and worked but didn't helped me
Worked on converting JSON into CSV and tried some but it was hard
Can someone suggest the best to do this? If possible provide some examples. Some help would also be appreciated.
Note: I am using Python 2.7
There is now a Python package for this called flatten_json. An introduction is provided here.
An example from that page--
In your shell:
> pip install flatten_json
In your Python console:
from flatten_json import flatten
input_dict = {
"a": 1,
"b": 2,
"c": [{"d": [2, 3, 4], "e": [{"f": 1, "g": 2}]}]
}
print(flatten(input_dict))
Results:
{'a': 1,
'b': 2,
'c_0_d_0': 2,
'c_0_d_1': 3,
'c_0_d_2': 4,
'c_0_e_0_f': 1,
'c_0_e_0_g': 2}
I've tested this in both Python 3.6 and 2.7.
Firstly receive your json and convert it to dictionary
import json
input_dict = json.loads(<your received son string>)
Then work on the input dict like below through recursive calls:
input_dict = {
"ConcurrentAsyncGetReportInstances":
{
"Max": 200,"Remaining":200
},
"DailyApiRequests":
{
"Max": 15000, "Remaining": 14108,
"Ant Migration Tool": {"Max": 0, "Remaining": 0},
"Chatter Desktop": {"Max": 0, "Remaining": 0},
"Chatter Mobile for BlackBerry":
{"Max": 0, "Remaining": 0},
"Chemical Equipment And Processing":
{"Max": 0,"Remaining": 0}
}
}
def flattenjson(input_dict, odict):
for ky in input_dict.keys():
if isinstance(input_dict[ky], dict):
if set(['Max', 'Remaining']).issubset(input_dict[ky].keys()):
if input_dict[ky]["Max"] != 0:
odict[ky] = 100-(float(input_dict[ky]["Remaining"])/input_dict[ky]["Max"])*100
else:
odict[ky] = 0
for iky in input_dict[ky].keys():
if isinstance(input_dict[ky][iky], dict):
tmp = {iky : input_dict[ky][iky]}
odict = flattenjson(tmp, odict)
return odict
odict = flattenjson(input_dict, dict())
print json.dumps(odict)
flattenjson helps you recursively work on to get your desired output for all Max and Remaining entries
You can retrieve nested values using the json library like so:
import json
sample_json = '{"ConcurrentAsyncGetReportInstances":{"Max": 5,"Remaining": 3},"DailyApiRequests": {"Max":15000,"Remaining":14108}}'
jason = json.loads(sample_json)
cagri_max = jason['ConcurrentAsyncGetReportInstances']['Max']
cagri_rem = jason['ConcurrentAsyncGetReportInstances']['Remaining']
You don't need to flatten the data structure. Just reference that pieces of it you want—so, for example, I think the following does essentially what you want:
import json
json_data = {
"ConcurrentAsyncGetReportInstances": {
"Max": 5,
"Remaining": 3
},
"DailyApiRequests": {
"Max": 15000,
"Remaining": 14108
}
}
def percentage_values(remaining, maximum):
return 100 - (float(remaining)/float(maximum)) * 100
# build output dictionary
json_out = {}
for key in json_data:
value = percentage_values(json_data[key]["Remaining"], json_data[key]["Max"])
json_out.update([(key, value)])
print(json.dumps(json_out, indent=4))
The resulting output showing the contents of json_out is:
{
"ConcurrentAsyncGetReportInstances": 40.0,
"DailyApiRequests": 5.9466666666666725
}
There are more succinct ways to write this in Python, but they all would do what is done above in a very simple manner.
I have the following valid dictionary. I'm trying to add another group of terms under the "expansion_modules" group.
lan_router = {
'HOSTNAME1':{
'system_type': 'MDF',
'chassis':{
0:{
'model_num': 'EX4550',
'vc_role': 'MASTER',
'expansion_modules':{
1:{
'pic_slot': 1,
'expan_model': 'EX4550VCP'
}
},
'built-in_modules':{
0:{
'pic_slot': 2,
'built-in_model': 'EX4550BI'
}
}
}
}
}
}
I want to add the following under "expansion_modules" without removing "1"...
2:{'pic_slot': 2, 'expan_model': 'EX4550SFP'}
The following code adds what I want, but removes the existing term...
print lan_router['HOSTNAME1']['chassis'][0]['expansion_modules'][1]['expan_model']
lan_router['HOSTNAME1']['chassis'][0]['expansion_modules'] = { 2: {} }
lan_router['HOSTNAME1']['chassis'][0]['expansion_modules'][2] = {'pic_slot' : 1, 'expan_model' : 'EX45504XSFP'}
You do not need the line - lan_router['HOSTNAME1']['chassis'][0]['expansion_modules'] = { 2: {} } , it is replacing the dictionary inside expansion_modules , just remove this and execute rest.
Code -
print lan_router['HOSTNAME1']['chassis'][0]['expansion_modules'][1]['expan_model']
lan_router['HOSTNAME1']['chassis'][0]['expansion_modules'][2] = {'pic_slot' : 1, 'expan_model' : 'EX45504XSFP'}
Access it like this:
lan_router['HOSTNAME1']['chassis'][0]['expansion_modules'][2] = {}
Anand's answer is correct as it answers your question.
I would add that often dictionaries with [0, 1, ...] as keys should be just lists. Instead of:
'expansion_modules':{
1:{
'pic_slot': 1,
'expan_model': 'EX4550VCP'
},
2:{ ... }
}
perhaps you should have:
'expansion_modules':[
{
'pic_slot': 1,
'expan_model': 'EX4550VCP'
},
{ ... }
]