Doing mapping from range of numbers to words - list

I have seen many examples where there is required some mapping from number to word, or the opposite direction.
In my case I want to do mapping from a range of values to words
I have a dictionary intelligence = {"John" : 100 , "Mike" : 80, "Peter" : 150}
I use this function:
a = list()
for name,iq in intelligence.items():
if iq<=100:
smartness = "low iq"
a.append((name,iq),smartness ))
elif c>=100 and c<=95:
smartness = "mid"
a.append((name,iq),smartness ))
else:
smartness = "high"
a.append((name,iq),smartness ))
print a
as you can see the code is a bit redundant, any more pythonic way to achieve this result? Ore maybe a completely different approach that is better?
After the EDIT
a = list()
for name,iq in intelligence.items():
if iq<=100:
smartness = "low iq"
elif c>=100 and c<=95:
smartness = "mid"
else:
smartness = "high"
a.append((name,iq),smartness ))
print a

def iq_to_distance(iq):
if iq<=95: return "low"
if iq<=100: return "mid"
return "high"
for name,iq in intelligence.items():
print {'name': name, 'iq': iq, 'distance': iq_to_distance(iq)}
output:
{'iq': 80, 'distance': 'low', 'name': 'Mike'}
{'iq': 100, 'distance': 'mid', 'name': 'John'}
{'iq': 150, 'distance': 'high', 'name': 'Peter'}
note that I've changed the numbers a little because elif c>=100 and c<=95: will always be False.
or one liner:
[{'name': name,
'iq': iq,
'distance': iq<=95 and "low" or iq<=100 and "mid" or "high"}
for name,iq in intelligence.items()]
output:
[{'iq': 80, 'distance': 'low', 'name': 'Mike'},
{'iq': 100, 'distance': 'mid', 'name': 'John'},
{'iq': 150, 'distance': 'high', 'name': 'Peter'}]

Related

How to format json response in django?

I am retrieving data from multiple tables in Django.
my current response is :
{
"status": 0,
"message": "Client details retrived successfully...!!!",
"results": [
{
"id": 11,
"client_id": "CL15657917080578748000",
"client_name": "Pruthvi Katkar",
"client_pan_no": "RGBB004A11",
"client_adhar_no": "12312312313",
"legal_entity_name": "ABC",
"credit_period": "6 months",
"client_tin_no": 4564565,
"client_email_id": "abc#gmail.com",
"head_office_name": "ABC",
"office_name": "asd234",
"office_email_id": "zxc#gmail.com",
"office_contact": "022-27547119",
"gst_number": "CGST786876876",
"office_country": "India",
"office_state": "gujrat",
"office_district": "vadodara",
"office_taluka": "kachh",
"office_city": "vadodara",
"office_street": "New rode 21",
"office_pincode": 2344445,
"contact_person_name": "prasad",
"contact_person_designation": "DM",
"contact_person_number": "456754655",
"contact_person_email": "asd#gmail.com",
"contact_person_mobile": "5675545654",
"created_at": "2019-08-14T14:08:28.057Z",
"created_by": "Prathamseh",
"updated_at": "2019-08-14T14:08:28.057Z",
"updated_by": "prasad",
"is_deleted": false
},
{
"id": 11,
"user_id": "CL15657917080578748000",
"bank_details_id": "BL15657917080778611000",
"bank_name": "Pruthvi",
"branch": "vashi",
"ifsc_code": "BOI786988",
"account_number": 56756765765765,
"account_name": "Pruthvi",
"is_deleted": false
},
{
"id": 10,
"document_details_id": "DL15657917080808598000",
"user_id": "CL15657917080578748000",
"document_type": "Pruthvi ID",
"document": "www.sendgrid.com/pan",
"is_deleted": false
}
]
}
Expected Response :
I am getting the queryset form db in models.py and i am sending it to the views.py and i am iterating over the dict but not getting the expected response.
views.py
#csrf_exempt
def get_client_details(request):
try:
# Initialising lists for storing results
result = []
temp_array = []
# Getting data from request body
client_master_dict = json.loads(request.body)
# Response from get client data
records = ClientDetails.get_client_data(client_master_dict)
# Create response object
# Iterating over the records object for getting data
for i in range(len(records)):
# Converting the querysets objects to json array format
record_result_list = list(records[i].values())
# If multiple records are present
if(len(record_result_list) > 1):
for j in range(len(record_result_list)):
user_info = record_result_list[j]
temp_array.append(user_info)
result.append(temp_array)
temp_array=[]
# For single record
else:
result.append(record_result_list[0])
# Success
returnObject = {
"status" : messages.SUCCESS,
"message" : messages.CLIENT_RETRIVE_SUCCESS,
"results" : result
}
return JsonResponse(returnObject,safe=False)
I think the issue might be in my inner for loop, can anyone help me out with this, is there any way to iterate over the nested JSON object.
Models.py
#classmethod
def get_client_data(cls, client_master_dict):
try:
response_list = []
client_id = client_master_dict['client_id']
client_details = cls.objects.filter(client_id = client_id,is_deleted = False)
bank_details = BankDetails.objects.filter(user_id = client_id,is_deleted = False)
document_details = DocumentDetails.objects.filter(user_id = client_id,is_deleted = False)
response_list.append(client_details)
response_list.append(bank_details)
response_list.append(document_details)
return response_list
except(Exception) as error:
print("Error in get_client_data",error)
return False
Here i'm fetching data from 3 tables and adding it into list.
After printing the data on console i am getting :
[{'id': 11, 'client_id': 'CL15657917080578748000', 'client_name': 'Pruthvi Katkar', 'client_pan_no': 'RGBB004A11', 'client_adhar_no': '12312312313', 'legal_entity_name': 'ABC', 'credit_period': '6 months', 'client_tin_no': 4564565, 'client_email_id': 'abc#gmail.com', 'head_office_name': 'ABC', 'office_name': 'asd234', 'office_email_id': 'zxc#gmail.com', 'office_contact': '022-27547119', 'gst_number': 'CGST786876876', 'office_country': 'India', 'office_state': 'gujrat', 'office_district': 'vadodara', 'office_taluka': 'kachh', 'office_city': 'vadodara', 'office_street': 'New rode 21', 'office_pincode': 2344445, 'contact_person_name': 'prasad', 'contact_person_designation': 'DM', 'contact_person_number': '456754655', 'contact_person_email': 'asd#gmail.com', 'contact_person_mobile': '5675545654', 'created_at': datetime.datetime(2019, 8, 14, 14, 8, 28, 57874, tzinfo=<UTC>), 'created_by': 'Prathamseh', 'updated_at': datetime.datetime(2019, 8, 14, 14, 8, 28, 57874, tzinfo=<UTC>), 'updated_by': 'prasad', 'is_deleted': False}]
[{'id': 11, 'user_id': 'CL15657917080578748000', 'bank_details_id': 'BL15657917080778611000', 'bank_name': 'Pruthvi', 'branch': 'vashi', 'ifsc_code': 'BOI786988', 'account_number': 56756765765765, 'account_name': 'Pruthvi', 'is_deleted': False}]
[{'id': 10, 'document_details_id': 'DL15657917080808598000', 'user_id': 'CL15657917080578748000', 'document_type': 'Pruthvi ID', 'document': 'www.sendgrid.com/pan', 'is_deleted': False}]
Did you check the output of record_result_list? You can outright tell their if it's recovering the data in the format you requested. Try the printing to screen method to debug.
As far as I cam see, the expected output and the hierarchy of results for bank details are not matching. I don't know how you are handling the hierarchy. Are you directly taking it from JSON as the hierarchy? Or are you just taking the data and creating hierarchy in the expected output?

ttk treeview get tags

Hello i try to get the tags attribute
i have this
def treeview(self):
w = self.widget
curItem = w.focus()
print w.item(curItem)
lisswidget = ttk.Treeview(photoFrame)
lisswidget.bind("<<TreeviewSelect>>", treeview)
lisswidget.insert('', 'end', "", open=True, image=IMG, tags="MyTags")
The console return :
{'text': '', 'image': [u'pyimage9'], 'values': '', 'open': 1, 'tags': ['MyTags']}
How i can extract tags ?
Thx
I find it, it's a dictionnary so i do like this :
print w.item(curItem)['tags']

How can I merge two or more dictionaries in a list?

Is there any nice pythonic way of merging dictionaries within a list?
What I have:
[
{ 'name': "Jack" },
{ 'age': "28" }
]
What I would like:
[
{ 'name': "Jack", 'age': "28" }
]
Here's a method that uses dict.update(). In my opinion it's a very readable solution:
data = [{'name': 'Jack'}, {'age': '28'}]
new_dict = {}
for d in data:
new_dict.update(d)
new_data = [new_dict]
print new_data
OUTPUT
[{'age': '28', 'name': 'Jack'}]
If you're using Python 3, you can use collections.ChainMap:
>>> from collections import ChainMap
>>> ld = [
... { 'name': "Jack" },
... { 'age': "28" }
... ]
>>> [dict(ChainMap(*ld))]
[{'name': 'Jack', 'age': '28'}]
You could use list comprehension:
final_list = [{key: one_dict[key]
for one_dict in initial_list
for key in one_dict.keys()}]
Edit: the list comprehension was backwards
out = reduce(lambda one, two: dict(one.items() + two.items()),
[{'name': 'Jack'}, {'age': '28'}, {'last_name': 'Daniels'}])
print(out)
OUTPUT
{'age': '28', 'last_name': 'Daniels', 'name': 'Jack'}

ordered data in django chartit

I am using django-chartit to display a site name on x-axis and its response time on y-axis.
How do I sort the graph with the response time in ascending order. I am using order_by in the queryset but still its not ordering correctly.
Below is my code :
siteresppivotdata = PivotDataPool(
series =
[{'options': {
'source': MonthlySiteResponse.objects.all(),
'categories': ['site_name', ],
'legend_by' : ['site_name'],
},
'terms': {
'total_response_time': Avg('response_time')}}
],
pareto_term = 'total_response_time' ## Added this code for sorting
)
#Step 2: Create the PivotChart object
siteresppivcht = PivotChart(
datasource = siteresppivotdata,
series_options =
[{'options':{
'type': 'bar', ## Show response_time on x-axis and site_name on y-axis with the 'bar' i.e (reverse of the column graph)
'stacking': True},
'terms':[
'total_response_time']}],
chart_options =
{'title': {
'text': 'Monthly Site Response Time'},
'xAxis': {
'title': {
'text': 'Website'}},
'yAxis': {
'title': {
'text': 'Response Time'}}}
)
Also is there a way to show the graph vice-versa (i.e site name on y-axis and response-time on x-axis)

Why is this dictionary overwriting itself during for loop?

I have a bit of code that is trying to transform a dictionary from one nesting format to another using a series of for loops so that I can easily export the dictionary to a CSV file. However, as my script loops through the input dict, it overwrites the output dict rather than appending the additional values, and I can't figure out why.
Here's the format of the input dictionary:
{'data': [{'title': 'Lifetime Likes by Country',
'values': [{'end_time': '2013-11-10T08:00:00+0000',
'value': {'IN': 343818, 'PK': 212632, 'US': 886367}},
{'end_time': '2013-11-11T08:00:00+0000',
'value': {'IN': 344025, 'US': 886485}}]},
{'title': 'Daily Country: People Talking About This',
'values': [{'end_time': '2013-11-10T08:00:00+0000',
'value': {'IN': 289, 'US': 829}},
{'end_time': '2013-11-11T08:00:00+0000',
'value': {'IN': 262, 'US': 836}}]}]}
Here's my code:
input_dict = function_to_get_input_dict()
filtered_dict = {}
for metric in input_dict['data']:
for day in metric['values']:
parsed_date = parser.parse(day['end_time'])
date_key = parsed_date.strftime('%m/%d/%Y')
filtered_dict[date_key] = {}
filtered_dict[date_key]['Total %s' % metric['title']] = 0
for k, v in day['value'].iteritems():
filtered_dict[date_key]['%s : %s' % (metric['title'], k)] = v
filtered_dict[date_key]['Total %s' % metric['title']] += v
pprint(filtered_dict) #debug
Expected output dictionary format:
{date1:{metric_1_each_country_code:value, metric_1_all_country_total:value, metric_2_each_country_code:value, metric_2_all_country_total:value}, date2:{etc}}
However, instead I'm getting an output dictionary that only has one metric per date:
{date1:{metric_2_each_country_code:value, metric_2_all_country_total:value}, date2:{etc}}
It appears to be overwriting the metric key:value pair each time, which I don't understand because the key's should be unique to each metric using the ['%s : %s' % (metric['title'], k)] formula, so they shouldn't get overwritten.
What am I missing?
If you notice in your code, in the second for loop you have filtered_dict[date_key] = {}. This resets the value of filtered_dict[date_key] instead of allowing you to add to it.
input_dict = function_to_get_input_dict()
filtered_dict = {}
for metric in input_dict['data']:
for day in metric['values']:
parsed_date = parser.parse(day['end_time'])
date_key = parsed_date.strftime('%m/%d/%Y')
filtered_dict[date_key] = {}
filtered_dict[date_key]['Total %s' % metric['title']] = 0
for k, v in day['value'].iteritems():
filtered_dict[date_key]['%s : %s' % (metric['title'], k)] = v
filtered_dict[date_key]['Total %s' % metric['title']] += v
pprint(filtered_dict) #debug
I think one problem is that your data has syntax errors in it and it is nearly impossible to see the structure. I have corrected it and pretty printed the whole thing to help you better see its structure. Not a complete answer, but it goes a long way towards helping solve the problem:
import pprint; pprint.pprint({"data": [{ "values": [{ "value": { "US": 886367, "IN": 343818, "PK": 212632}, "end_time": "2013-11-10T08:00:00+0000"},{"value": { "US": 886485, "IN": 344025}, "end_time": "2013-11-11T08:00:00+0000"}], "title": "Lifetime Likes by Country"}, {"values": [{"value": { "US": 829, "IN": 289}, "end_time": "2013-11-10T08:00:00+0000"},{"value": {"US": 836,"IN": 262}, "end_time": "2013-11-11T08:00:00+0000"}], "title": "Daily Country: People Talking About This"}]})
{'data': [{'title': 'Lifetime Likes by Country',
'values': [{'end_time': '2013-11-10T08:00:00+0000',
'value': {'IN': 343818, 'PK': 212632, 'US': 886367}},
{'end_time': '2013-11-11T08:00:00+0000',
'value': {'IN': 344025, 'US': 886485}}]},
{'title': 'Daily Country: People Talking About This',
'values': [{'end_time': '2013-11-10T08:00:00+0000',
'value': {'IN': 289, 'US': 829}},
{'end_time': '2013-11-11T08:00:00+0000',
'value': {'IN': 262, 'US': 836}}]}]}
Now that I can see the nature of your data, perhaps this type of data structure would better suit your needs:
import pprint; pprint.pprint({'Daily Country: People Talking About This': {'2013-11-11T08:00:00+0000': {'US': 836, 'IN': 262}, '2013-11-10T08:00:00+0000': {'US': 829, 'IN': 289}}, 'Lifetime Likes by Country': {'2013-11-11T08:00:00+0000': {'US': 886485, 'IN': 344025}, '2013-11-10T08:00:00+0000': {'PK': 212632, 'US': 886367, 'IN': 343818}}})
Which gives you:
{'Daily Country: People Talking About This': {'2013-11-10T08:00:00+0000': {'IN': 289,
'US': 829},
'2013-11-11T08:00:00+0000': {'IN': 262,
'US': 836}},
'Lifetime Likes by Country': {'2013-11-10T08:00:00+0000': {'IN': 343818,
'PK': 212632,
'US': 886367},
'2013-11-11T08:00:00+0000': {'IN': 344025,
'US': 886485}}}