yield a dictionary into a table format
I have a excel file from which I am extracting a column and making a list out of it. Lets say the list looks like this:
list_main = [1,2,3,4,5,6] #main list
I am showing this list in a browser using flask. After this I am checking items in a list exist in database or not and if they exist then whether or not they a have a price.
For that I was previously making three lists and returning the output to browser. After which I thought that the items would be repetitive because the other two lists were just a subset of main list. Like this:
sub_list1 = [1,2,4,5] # subset of mainlist
sublist2 = [1,2] # subset of sublist1
To reduce all the calculations and processing time I want to make a dictionary and yielding the output as processed. Like this:
dict_main = {"1":[yes,yes], "2":[yes,yes], "3":[no,no], "4":[yes,no],...}
#output
1 yes yes
2 yes yes
3 no no
4 yes no
5 yes no
6 no no
This is what I have tired so far:
@app.route('/upload', methods=['GET'])
def auee():
list_main = [1,2,3,4,5,6] #list I got from excel
found = yes
def events():
for i in list_mian:
data1 = pd.read_sql("DATABASE QUERY", engine)
new_data = data1['item_id'].drop_duplicates().values.tolist()
print('n'.join(str(p.rstrip()) for p in new_data ))
for row in new_data:
if row.rstrip() not in listset:
listset.append(row.rstrip())
yield "data: %s %snn" % (i,row.rstrip())
return Response(events(), content_type='text/event-stream')
The above program just prints main list but will only print items that exist in sublist as it is inside another loop.
This was the reason I choose dictionary. What could be the most efficient way to yield a dictionary i.e stream the output as processed.
python python-3.x
add a comment |
I have a excel file from which I am extracting a column and making a list out of it. Lets say the list looks like this:
list_main = [1,2,3,4,5,6] #main list
I am showing this list in a browser using flask. After this I am checking items in a list exist in database or not and if they exist then whether or not they a have a price.
For that I was previously making three lists and returning the output to browser. After which I thought that the items would be repetitive because the other two lists were just a subset of main list. Like this:
sub_list1 = [1,2,4,5] # subset of mainlist
sublist2 = [1,2] # subset of sublist1
To reduce all the calculations and processing time I want to make a dictionary and yielding the output as processed. Like this:
dict_main = {"1":[yes,yes], "2":[yes,yes], "3":[no,no], "4":[yes,no],...}
#output
1 yes yes
2 yes yes
3 no no
4 yes no
5 yes no
6 no no
This is what I have tired so far:
@app.route('/upload', methods=['GET'])
def auee():
list_main = [1,2,3,4,5,6] #list I got from excel
found = yes
def events():
for i in list_mian:
data1 = pd.read_sql("DATABASE QUERY", engine)
new_data = data1['item_id'].drop_duplicates().values.tolist()
print('n'.join(str(p.rstrip()) for p in new_data ))
for row in new_data:
if row.rstrip() not in listset:
listset.append(row.rstrip())
yield "data: %s %snn" % (i,row.rstrip())
return Response(events(), content_type='text/event-stream')
The above program just prints main list but will only print items that exist in sublist as it is inside another loop.
This was the reason I choose dictionary. What could be the most efficient way to yield a dictionary i.e stream the output as processed.
python python-3.x
add a comment |
I have a excel file from which I am extracting a column and making a list out of it. Lets say the list looks like this:
list_main = [1,2,3,4,5,6] #main list
I am showing this list in a browser using flask. After this I am checking items in a list exist in database or not and if they exist then whether or not they a have a price.
For that I was previously making three lists and returning the output to browser. After which I thought that the items would be repetitive because the other two lists were just a subset of main list. Like this:
sub_list1 = [1,2,4,5] # subset of mainlist
sublist2 = [1,2] # subset of sublist1
To reduce all the calculations and processing time I want to make a dictionary and yielding the output as processed. Like this:
dict_main = {"1":[yes,yes], "2":[yes,yes], "3":[no,no], "4":[yes,no],...}
#output
1 yes yes
2 yes yes
3 no no
4 yes no
5 yes no
6 no no
This is what I have tired so far:
@app.route('/upload', methods=['GET'])
def auee():
list_main = [1,2,3,4,5,6] #list I got from excel
found = yes
def events():
for i in list_mian:
data1 = pd.read_sql("DATABASE QUERY", engine)
new_data = data1['item_id'].drop_duplicates().values.tolist()
print('n'.join(str(p.rstrip()) for p in new_data ))
for row in new_data:
if row.rstrip() not in listset:
listset.append(row.rstrip())
yield "data: %s %snn" % (i,row.rstrip())
return Response(events(), content_type='text/event-stream')
The above program just prints main list but will only print items that exist in sublist as it is inside another loop.
This was the reason I choose dictionary. What could be the most efficient way to yield a dictionary i.e stream the output as processed.
python python-3.x
I have a excel file from which I am extracting a column and making a list out of it. Lets say the list looks like this:
list_main = [1,2,3,4,5,6] #main list
I am showing this list in a browser using flask. After this I am checking items in a list exist in database or not and if they exist then whether or not they a have a price.
For that I was previously making three lists and returning the output to browser. After which I thought that the items would be repetitive because the other two lists were just a subset of main list. Like this:
sub_list1 = [1,2,4,5] # subset of mainlist
sublist2 = [1,2] # subset of sublist1
To reduce all the calculations and processing time I want to make a dictionary and yielding the output as processed. Like this:
dict_main = {"1":[yes,yes], "2":[yes,yes], "3":[no,no], "4":[yes,no],...}
#output
1 yes yes
2 yes yes
3 no no
4 yes no
5 yes no
6 no no
This is what I have tired so far:
@app.route('/upload', methods=['GET'])
def auee():
list_main = [1,2,3,4,5,6] #list I got from excel
found = yes
def events():
for i in list_mian:
data1 = pd.read_sql("DATABASE QUERY", engine)
new_data = data1['item_id'].drop_duplicates().values.tolist()
print('n'.join(str(p.rstrip()) for p in new_data ))
for row in new_data:
if row.rstrip() not in listset:
listset.append(row.rstrip())
yield "data: %s %snn" % (i,row.rstrip())
return Response(events(), content_type='text/event-stream')
The above program just prints main list but will only print items that exist in sublist as it is inside another loop.
This was the reason I choose dictionary. What could be the most efficient way to yield a dictionary i.e stream the output as processed.
python python-3.x
python python-3.x
edited Nov 15 '18 at 18:40
Torxed
13.8k105790
13.8k105790
asked Nov 15 '18 at 18:36
Duck_dragonDuck_dragon
768
768
add a comment |
add a comment |
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