How do I store my scraped values into a dataframe once all the pages are looped and values append into my lists?
Currently, my dataframe is printing out 2 dataframes but I want it to simply be one dataframe with all the values passed on from omp_name_lists and comp_rating_lists
. I know the function is passing values page by page so I would like to know how can I tell python wait for all the page values to append and then create_dataframe
.
def get_data(get_comp_name,get_comp_rating):
comp_name_lists, comp_rating_lists = ,
for i, v in zip(get_comp_name, get_comp_rating):
comp_name_lists.append(i.a.text)
comp_rating_lists.append(v.text)
return create_dataframe(comp_name_lists,comp_rating_lists)
def create_dataframe(comp_name_lists,comp_rating_lists): # This is where
"""This gets all of our data that we scraped and stores into a pandas dataframe"""
df = pd.DataFrame('CompanyName' : comp_name_lists, 'CompanyRating' : comp_rating_lists)
df = df.reset_index(drop=True)
print(df)
Desired Output:
A B
0 a 3
1 b 7
2 c 1
3 d 2
4 e 8
5 f 9
6 g 7
7 h 8
python python-3.x web-scraping beautifulsoup request
add a comment |
Currently, my dataframe is printing out 2 dataframes but I want it to simply be one dataframe with all the values passed on from omp_name_lists and comp_rating_lists
. I know the function is passing values page by page so I would like to know how can I tell python wait for all the page values to append and then create_dataframe
.
def get_data(get_comp_name,get_comp_rating):
comp_name_lists, comp_rating_lists = ,
for i, v in zip(get_comp_name, get_comp_rating):
comp_name_lists.append(i.a.text)
comp_rating_lists.append(v.text)
return create_dataframe(comp_name_lists,comp_rating_lists)
def create_dataframe(comp_name_lists,comp_rating_lists): # This is where
"""This gets all of our data that we scraped and stores into a pandas dataframe"""
df = pd.DataFrame('CompanyName' : comp_name_lists, 'CompanyRating' : comp_rating_lists)
df = df.reset_index(drop=True)
print(df)
Desired Output:
A B
0 a 3
1 b 7
2 c 1
3 d 2
4 e 8
5 f 9
6 g 7
7 h 8
python python-3.x web-scraping beautifulsoup request
add a comment |
Currently, my dataframe is printing out 2 dataframes but I want it to simply be one dataframe with all the values passed on from omp_name_lists and comp_rating_lists
. I know the function is passing values page by page so I would like to know how can I tell python wait for all the page values to append and then create_dataframe
.
def get_data(get_comp_name,get_comp_rating):
comp_name_lists, comp_rating_lists = ,
for i, v in zip(get_comp_name, get_comp_rating):
comp_name_lists.append(i.a.text)
comp_rating_lists.append(v.text)
return create_dataframe(comp_name_lists,comp_rating_lists)
def create_dataframe(comp_name_lists,comp_rating_lists): # This is where
"""This gets all of our data that we scraped and stores into a pandas dataframe"""
df = pd.DataFrame('CompanyName' : comp_name_lists, 'CompanyRating' : comp_rating_lists)
df = df.reset_index(drop=True)
print(df)
Desired Output:
A B
0 a 3
1 b 7
2 c 1
3 d 2
4 e 8
5 f 9
6 g 7
7 h 8
python python-3.x web-scraping beautifulsoup request
Currently, my dataframe is printing out 2 dataframes but I want it to simply be one dataframe with all the values passed on from omp_name_lists and comp_rating_lists
. I know the function is passing values page by page so I would like to know how can I tell python wait for all the page values to append and then create_dataframe
.
def get_data(get_comp_name,get_comp_rating):
comp_name_lists, comp_rating_lists = ,
for i, v in zip(get_comp_name, get_comp_rating):
comp_name_lists.append(i.a.text)
comp_rating_lists.append(v.text)
return create_dataframe(comp_name_lists,comp_rating_lists)
def create_dataframe(comp_name_lists,comp_rating_lists): # This is where
"""This gets all of our data that we scraped and stores into a pandas dataframe"""
df = pd.DataFrame('CompanyName' : comp_name_lists, 'CompanyRating' : comp_rating_lists)
df = df.reset_index(drop=True)
print(df)
Desired Output:
A B
0 a 3
1 b 7
2 c 1
3 d 2
4 e 8
5 f 9
6 g 7
7 h 8
python python-3.x web-scraping beautifulsoup request
python python-3.x web-scraping beautifulsoup request
edited Nov 13 '18 at 19:47
g_altobelli
asked Nov 12 '18 at 20:12
g_altobellig_altobelli
877
877
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
If you want to be one dataframe with all the values, so you should have a global variable
because it will be not re-initialize, unless you restart script. If you pass value by return create_dataframe(comp_name_lists,comp_rating_lists)
, it will create a new space which independent from the others and the value of df is empty that mean you can not done what you expect in this way. In my consideration, create a dataframe after you finished fetching data
resultset = 'CompanyName' : , 'CompanyRating' :
def get_data(get_comp_name,get_comp_rating):
comp_name_lists, comp_rating_lists = ,
for i, v in zip(get_comp_name, get_comp_rating):
comp_name_lists.append(i.a.text)
comp_rating_lists.append(v.text)
resultset["CompanyName"] += comp_name_lists
resultset["CompanyRating"] += comp_rating_lists
def create_dataframe(data): # This is where
"""This gets all of our data that we scraped and stores into a pandas dataframe"""
df = pd.DataFrame(data)
df = df.reset_index(drop=True)
print(df)
Thank you so much! Dam global vars when I need them I never use them lol.
– g_altobelli
Nov 13 '18 at 9:15
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
If you want to be one dataframe with all the values, so you should have a global variable
because it will be not re-initialize, unless you restart script. If you pass value by return create_dataframe(comp_name_lists,comp_rating_lists)
, it will create a new space which independent from the others and the value of df is empty that mean you can not done what you expect in this way. In my consideration, create a dataframe after you finished fetching data
resultset = 'CompanyName' : , 'CompanyRating' :
def get_data(get_comp_name,get_comp_rating):
comp_name_lists, comp_rating_lists = ,
for i, v in zip(get_comp_name, get_comp_rating):
comp_name_lists.append(i.a.text)
comp_rating_lists.append(v.text)
resultset["CompanyName"] += comp_name_lists
resultset["CompanyRating"] += comp_rating_lists
def create_dataframe(data): # This is where
"""This gets all of our data that we scraped and stores into a pandas dataframe"""
df = pd.DataFrame(data)
df = df.reset_index(drop=True)
print(df)
Thank you so much! Dam global vars when I need them I never use them lol.
– g_altobelli
Nov 13 '18 at 9:15
add a comment |
If you want to be one dataframe with all the values, so you should have a global variable
because it will be not re-initialize, unless you restart script. If you pass value by return create_dataframe(comp_name_lists,comp_rating_lists)
, it will create a new space which independent from the others and the value of df is empty that mean you can not done what you expect in this way. In my consideration, create a dataframe after you finished fetching data
resultset = 'CompanyName' : , 'CompanyRating' :
def get_data(get_comp_name,get_comp_rating):
comp_name_lists, comp_rating_lists = ,
for i, v in zip(get_comp_name, get_comp_rating):
comp_name_lists.append(i.a.text)
comp_rating_lists.append(v.text)
resultset["CompanyName"] += comp_name_lists
resultset["CompanyRating"] += comp_rating_lists
def create_dataframe(data): # This is where
"""This gets all of our data that we scraped and stores into a pandas dataframe"""
df = pd.DataFrame(data)
df = df.reset_index(drop=True)
print(df)
Thank you so much! Dam global vars when I need them I never use them lol.
– g_altobelli
Nov 13 '18 at 9:15
add a comment |
If you want to be one dataframe with all the values, so you should have a global variable
because it will be not re-initialize, unless you restart script. If you pass value by return create_dataframe(comp_name_lists,comp_rating_lists)
, it will create a new space which independent from the others and the value of df is empty that mean you can not done what you expect in this way. In my consideration, create a dataframe after you finished fetching data
resultset = 'CompanyName' : , 'CompanyRating' :
def get_data(get_comp_name,get_comp_rating):
comp_name_lists, comp_rating_lists = ,
for i, v in zip(get_comp_name, get_comp_rating):
comp_name_lists.append(i.a.text)
comp_rating_lists.append(v.text)
resultset["CompanyName"] += comp_name_lists
resultset["CompanyRating"] += comp_rating_lists
def create_dataframe(data): # This is where
"""This gets all of our data that we scraped and stores into a pandas dataframe"""
df = pd.DataFrame(data)
df = df.reset_index(drop=True)
print(df)
If you want to be one dataframe with all the values, so you should have a global variable
because it will be not re-initialize, unless you restart script. If you pass value by return create_dataframe(comp_name_lists,comp_rating_lists)
, it will create a new space which independent from the others and the value of df is empty that mean you can not done what you expect in this way. In my consideration, create a dataframe after you finished fetching data
resultset = 'CompanyName' : , 'CompanyRating' :
def get_data(get_comp_name,get_comp_rating):
comp_name_lists, comp_rating_lists = ,
for i, v in zip(get_comp_name, get_comp_rating):
comp_name_lists.append(i.a.text)
comp_rating_lists.append(v.text)
resultset["CompanyName"] += comp_name_lists
resultset["CompanyRating"] += comp_rating_lists
def create_dataframe(data): # This is where
"""This gets all of our data that we scraped and stores into a pandas dataframe"""
df = pd.DataFrame(data)
df = df.reset_index(drop=True)
print(df)
answered Nov 13 '18 at 8:44
kcorlidykcorlidy
2,2102418
2,2102418
Thank you so much! Dam global vars when I need them I never use them lol.
– g_altobelli
Nov 13 '18 at 9:15
add a comment |
Thank you so much! Dam global vars when I need them I never use them lol.
– g_altobelli
Nov 13 '18 at 9:15
Thank you so much! Dam global vars when I need them I never use them lol.
– g_altobelli
Nov 13 '18 at 9:15
Thank you so much! Dam global vars when I need them I never use them lol.
– g_altobelli
Nov 13 '18 at 9:15
add a comment |
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