I need to write a for loop for the following process:
elements = [
[ "a", ['aft','fwd','starboard']],
[ "b", ['plastic','metal','wood']]
]
query1 = []
query2 = []
temp1 = []
temp2 = []
final = []
for keyword in elements[0][1]:
a = do_something.search(keyword)
query1.append(a)
temp1.append(elements[0][0])
temp1.append(query1)
for keyword in elements[1][1]:
a = do_something.search(keyword)
query2.append(a)
temp2.append(elements[1][0])
temp2.append(query2)
final.append(temp1)
final.append(temp2)
where do_something is a SQL query. The expected answer is something of the following:
final = [['a', [['result1','result2','result3'],['result4','result5']]],
['b', [['resultA','resultB']]]]
where results 1-5 are returned SQL queries associated with value 'a' and values A and B are returned SQL queries associated with value 'b'
My attempt:
query = []
temp = []
final = []
for i in range(0,len(elements)):
for keyword in elements[i][1]:
a = do_something.search(keyword)
query.append(a)
temp.append(elements[i][0])
temp.append(query)
final.append(temp)
but I seem to be over appending and I can't figure out the problem
I think you have condensed it ok you just aren't using clean containers
I would personally scope them in the loop :
#query = []
#temp = []
final = []
for i in range(0,len(elements)):
temp = []
query = [] # use an empty list
for keyword in elements[i][1]:
a = do_something.search(keyword)
query.append(a)
temp.append(elements[i][0]) # before the temp still contained first iteration data.
temp.append(query)
final.append(temp)
Related
The below script i have to compare Test1 vs Test2.Test1 and Test2 data is mentioned in the bottom .I tried to make it a generic one so that it will work for different devices also.The below script i have to compare Test1 vs Test2.Test1 and Test2 data is mentioned in the bottom .I tried to make it a generic one so that it will work for different devices also
import re
data_cleaned = {}
current_key = ''
action_flag = False
data_group = []
if_found_vlan = True
output = open('./output.txt','r').read()
switch_red = re.findall(r'(\w*-RED\d{0,1})', output)[0]
switch_blue = re.findall(r'(\w*-BLUE\d{0,1})', output)[0]
for line in open('./output.txt'):
m = re.match(r'(\w*-RED\d{0,1}|\w*-BLUE\d{0,1})# sh run vlan \d+', line)
if m:
if not if_found_vlan:
data_cleaned[current_key].append([])
if_found_vlan = False
current_key = m.group(1)
if not data_cleaned.has_key(current_key):
data_cleaned[current_key] = []
continue
mm = re.match(r'vlan \d+', line)
if mm:
if_found_vlan = True
action_flag = True
data_group = []
if action_flag and '' == line.strip():
action_flag = False
data_cleaned[current_key].append(data_group)
if action_flag:
data_group.append(line.replace('\r', '').replace('\n', ''))
if not if_found_vlan:
data_cleaned[current_key].append([])
#print ("+++++++++++++++++ The missing configuration ++++++++++++++\n")
print switch_blue + "#" + " has below missing VLAN config\n "
p = [item for index, item in enumerate(data_cleaned[switch_blue]) if [] != [it for it in item if it not in data_cleaned[switch_red][index]]]
print('\n'.join(['\n'.join(item) for item in p]))
print ("+++++++++++++++++++++++++++++++\n")
print switch_red + "#" + " has below missing VLAN config\n "
q = [item for index, item in enumerate(data_cleaned[switch_red]) if [] != [it for it in item if it not in data_cleaned[switch_blue][index]]]
print('\n'.join(['\n'.join(item) for item in q]))
Update with your raw output, I think use a one-dimensional list to represent your output is not a good way for further handling.
When we handle a data, we first need to clean the data & setup a model easy to handle for further program processing, so I use a dict with a two-dimensional list inside it to model your output, and finally easier to process.
import re
data_cleaned = {}
current_key = ''
action_flag = False
data_group = []
if_found_vlan = True
for line in open('./output.txt'):
m = re.match(r'(Test\d+)# sh run vlan \d+', line)
if m:
if not if_found_vlan:
data_cleaned[current_key].append([])
if_found_vlan = False
current_key = m.group(1)
if not data_cleaned.has_key(current_key):
data_cleaned[current_key] = []
continue
mm = re.match(r'vlan \d+', line)
if mm:
if_found_vlan = True
action_flag = True
data_group = []
if action_flag and '' == line.strip():
action_flag = False
data_cleaned[current_key].append(data_group)
if action_flag:
data_group.append(line.replace('\r', '').replace('\n', ''))
if not if_found_vlan:
data_cleaned[current_key].append([])
print ("+++++++++++++++++ The missing configuration is++++++++++++++\n")
p = [item for index, item in enumerate(data_cleaned['Test2']) if [] != [it for it in item if it not in data_cleaned['Test1'][index]]]
print('\n'.join(['\n'.join(item) for item in p]))
print ("+++++++++++++++++ The missing configuration is++++++++++++++\n")
q = [item for index, item in enumerate(data_cleaned['Test1']) if [] != [it for it in item if it not in data_cleaned['Test2'][index]]]
print('\n'.join(['\n'.join(item) for item in q]))
How do I condense a list into string that I can use in my code later?
For example:
result = []
bin = []
j = 0
while j<5:
bin.append(j)
j=j+1
#Pseudo code:
a = ''.join(map(int, bin)
result.append(a)
Basically, I want it to do this:
bin = [0,1,2,3,4]
result = [01234]
so I can use 'result' later on in my code.
Still pretty new at this, but I appreciate your help.
You could change your code like that:
result = []
bin = []
j = 0
while j<5:
bin.append(j)
j=j+1
#Pseudo code:
a = ''.join(str(x) for x in bin)
result.append(a)
But it look better if you use the for-loop:
l = list()
for i in range(5):
l.append(i)
result = [ ''.join(str(x) for x in l) ]
I am working with ExactTarget FUEL SDK to retrieve data from the SalesForce Marketing Cloud. More specifically I working on calling "Unsub Events"(https://github.com/salesforce-marketingcloud/FuelSDK-Python/blob/master/objsamples/sample_unsubevent.py#L15) but the structure of the SOAP response has couple of deeper nested dictionary objects, which I need to iterate over and place into dataframes. Here is what the response looks like and I need to place each of the variables into seperate dataframe.
(UnsubEvent){
Client =
(ClientID){
ID = 11111111
}
PartnerKey = None
CreatedDate = 2016-07-13 13:37:46.000663
ModifiedDate = 2016-07-13 13:37:46.000663
ID = 11111111
ObjectID = "11111111"
SendID = 11111111
SubscriberKey = "aaa#aaa.com"
EventDate = 2016-07-13 13:37:46.000663
EventType = "Unsubscribe"
TriggeredSendDefinitionObjectID = None
BatchID = 1
List =
(List){
PartnerKey = None
ID = 11111111
ObjectID = None
Type = "aaaa"
ListClassification = "aaa"
}
IsMasterUnsubscribed = False
}]
I have successfully placed all variables in data frames except one "ListClassification". I am getting the error "List instance has no attribute 'ListClassification', my question is why is this happening if I can see the attribute in the response? and is there a fix for the issue?
My Code:
import ET_Client
import pandas as pd
try:
debug = False
stubObj = ET_Client.ET_Client(False, debug)
print '>>>UnsubEvents'
getUnsubEvent = ET_Client.ET_UnsubEvent()
getUnsubEvent.auth_stub = stubObj
getResponse3 = getUnsubEvent.get()
ResponseResultsUnsubEvent = getResponse3.results
#print ResponseResultsUnsubEvent
ClientIDUnsubEvents = []
partner_keys3 = []
created_dates3 = []
modified_date3 = []
ID3 = []
ObjectID3 = []
SendID3 = []
SubscriberKey3 = []
EventDate3 = []
EventType3 = []
TriggeredSendDefinitionObjectID3 = []
BatchID3 = []
IsMasterUnsubscribed = []
ListPartnerKey = []
ListID = []
ListObjectID = []
ListType = []
ListClassification = []
for UnsubEvent in ResponseResultsUnsubEvent:
ClientIDUnsubEvents.append(str(UnsubEvent['Client']['ID']))
partner_keys3.append(UnsubEvent['PartnerKey'])
created_dates3.append(UnsubEvent['CreatedDate'])
modified_date3.append(UnsubEvent['ModifiedDate'])
ID3.append(UnsubEvent['ID'])
ObjectID3.append(UnsubEvent['ObjectID'])
SendID3.append(UnsubEvent['SendID'])
SubscriberKey3.append(UnsubEvent['SubscriberKey'])
EventDate3.append(UnsubEvent['EventDate'])
EventType3.append(UnsubEvent['EventType'])
TriggeredSendDefinitionObjectID3.append(UnsubEvent['TriggeredSendDefinitionObjectID'])
BatchID3.append(UnsubEvent['BatchID'])
IsMasterUnsubscribed.append(UnsubEvent['IsMasterUnsubscribed'])
ListPartnerKey.append(str(UnsubEvent['List']['PartnerKey']))
ListID.append(str(UnsubEvent['List']['ID']))
ListObjectID.append(str(UnsubEvent['List']['ObjectID']))
ListType.append(str(UnsubEvent['List']['Type']))
ListClassification.append(str(UnsubEvent['List']['ListClassification']))
df3 = pd.DataFrame({'ListPartnerKey':ListPartnerKey,'ListID':ListID,'ListObjectID':ListObjectID,'ListType':ListType,
'ClientID':ClientIDUnsubEvents,'PartnerKey':partner_keys3,'CreatedDate':created_dates3,
'ModifiedDate':modified_date3,'ID':ID3,'ObjectID':ObjectID3,'SendID':SendID3,'SubscriberKey':SubscriberKey3,
'EventDate':EventDate3,'EventType':EventType3,'TriggeredSendDefinitionObjectID':TriggeredSendDefinitionObjectID3,
'BatchID':BatchID3,'ListClassification':ListClassification,'IsMasterUnsubscribed':IsMasterUnsubscribed})
print df3
Literally all other attributes are going into the dataframe but not sure why "ListClassification" is not being picked up on.
Thank you in advance for you help!
Here is my code:
def cost_channelID(received_frame):
received_frame.columns = ['Ad', 'Impressions', 'eCPM', 'Ad Spend']
Ads = received_frame['Ad']
ID = []
for ad in Ads:
num = re.findall(r'\d{6}',ad)
ID.append(num)
ID = pd.Series(ID)
return(ID)
The output is like this:
[111234]
[111235]
......
[111444]
I would like the output to be without the brackets:
111234
111235
......
144444
Getting single element from sequence in Python is fairly simple
num = re.findall(r'\d{6}',ad)[0]
Although I'd think about why re.findall (method that returns sequence) was used in first place.
Does anyone know how I get Django Filter build an OR statement? I'm not sure if I have to use the Q object or not, I thought I need some type of OR pipe but this doesn't seem right:
filter_mfr_method = request.GET.getlist('filter_mfr_method')
for m in filter_mfr_method:
designs = designs.filter(Q(mfr_method = m) | m if m else '')
# Or should I do it this way?
#designs = designs.filter(mfr_method = m | m if m else '')
I would like this to be:
SELECT * FROM table WHERE mfr_method = 1 OR mfr_method = 2 OR mfr_method = 3
EDIT: Here is what Worked
filter_mfr_method = request.GET.getlist('filter_mfr_method')
list = []
for m in filter_mfr_method:
list.append(Q(mfr_method = m))
designs = designs.filter(reduce(operator.or_, list))
What about:
import operator
filter_mfr_method = request.GET.getlist('filter_mfr_method')
filter_params = reduce(operator.or_, filter_mfr_method, Q())
designs = designs.filter(filter_params)
Something I used before:
qry = None
for val in request.GET.getlist('filter_mfr_method'):
v = {'mfr_method': val}
q = Q(**v)
if qry:
qry = qry | q
else:
qry = q
designs = designs.filter(qry)
That is taken from one of my query builders.