Pandas read_html how to drop Index?
1
I'm struggling on removing the index column from the dataframe.
Usually when I read a csv file, I can set the index = False or index_col = 0, and that removes the index column. But I can't do that when reading html for some reason. Any ideas? I've also tried reset_index(drop=True). I don't want to set any of the columns to an index.
path = 'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'
canada = pd.read_html(path)
cn_table=canada[0]
pandas dataframe
edited Jan 20 at 4:07
anky_91
4,3192319
asked Jan 20 at 3:59
user10939484user10939484
124
add a comment |
1
I'm struggling on removing the index column from the dataframe.
Usually when I read a csv file, I can set the index = False or index_col = 0, and that removes the index column. But I can't do that when reading html for some reason. Any ideas? I've also tried reset_index(drop=True). I don't want to set any of the columns to an index.
path = 'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'
canada = pd.read_html(path)
cn_table=canada[0]
pandas dataframe
edited Jan 20 at 4:07
anky_91
4,3192319
asked Jan 20 at 3:59
user10939484user10939484
124
add a comment |
1
1
1
I'm struggling on removing the index column from the dataframe.
Usually when I read a csv file, I can set the index = False or index_col = 0, and that removes the index column. But I can't do that when reading html for some reason. Any ideas? I've also tried reset_index(drop=True). I don't want to set any of the columns to an index.
path = 'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'
canada = pd.read_html(path)
cn_table=canada[0]
pandas dataframe
edited Jan 20 at 4:07
anky_91
4,3192319
asked Jan 20 at 3:59
user10939484user10939484
124
I'm struggling on removing the index column from the dataframe.
Usually when I read a csv file, I can set the index = False or index_col = 0, and that removes the index column. But I can't do that when reading html for some reason. Any ideas? I've also tried reset_index(drop=True). I don't want to set any of the columns to an index.
path = 'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'
canada = pd.read_html(path)
cn_table=canada[0]
pandas dataframe
pandas dataframe
edited Jan 20 at 4:07
anky_91
4,3192319
asked Jan 20 at 3:59
user10939484user10939484
124
edited Jan 20 at 4:07
anky_91
4,3192319
asked Jan 20 at 3:59
user10939484user10939484
124
edited Jan 20 at 4:07
anky_91
4,3192319
edited Jan 20 at 4:07
anky_91
4,3192319
edited Jan 20 at 4:07
anky_91
4,3192319
4,3192319
asked Jan 20 at 3:59
user10939484user10939484
124
asked Jan 20 at 3:59
user10939484user10939484
124
asked Jan 20 at 3:59
user10939484user10939484
124
124
add a comment |
add a comment |
1 Answer
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oldest
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0
IIUC , you want the 1st row as headers, Use header=0:
canada = pd.read_html(r'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M',header =0, flavor = 'bs4')
Or:
canada = pd.read_html(r'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M',header =0)
cn_table=canada[0]
>>cn_table
Postcode Borough Neighbourhood
0 M1A Not assigned Not assigned
1 M2A Not assigned Not assigned
2 M3A North York Parkwoods
3 M4A North York Victoria Village
4 M5A Downtown Toronto Harbourfront
5 M5A Downtown Toronto Regent Park
... ... ... ...
288 M9Z Not assigned Not assigned
To save the dataframe to csv without index use:
cn_table.to_csv('path+filename.csv',index=False)
answered Jan 20 at 4:03
anky_91anky_91
4,3192319
The output still contains an index column.
– user10939484
Jan 20 at 4:38
@user10939484 can you share your expected output plz?
– anky_91
Jan 20 at 4:38
@user10939484 did you meanprint(cn_table.to_string(index=False))??
– anky_91
Jan 20 at 4:45
No, I'd like to permanently modify the dataframe to output only the 3 columns without the index to the left. Same as your output without the index.
– user10939484
Jan 20 at 4:56
1
Thanks, I was not aware of that. Not bothering me. The assignment I'm working on has a finished dataframe image that does not have an index so it's been annoying me, making me think I was just missing something obvious.
– user10939484
Jan 20 at 5:15
|
show 5 more comments
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1 Answer
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votes
1 Answer
1
active
oldest
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active
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active
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votes
0
IIUC , you want the 1st row as headers, Use header=0:
canada = pd.read_html(r'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M',header =0, flavor = 'bs4')
Or:
canada = pd.read_html(r'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M',header =0)
cn_table=canada[0]
>>cn_table
Postcode Borough Neighbourhood
0 M1A Not assigned Not assigned
1 M2A Not assigned Not assigned
2 M3A North York Parkwoods
3 M4A North York Victoria Village
4 M5A Downtown Toronto Harbourfront
5 M5A Downtown Toronto Regent Park
... ... ... ...
288 M9Z Not assigned Not assigned
To save the dataframe to csv without index use:
cn_table.to_csv('path+filename.csv',index=False)
answered Jan 20 at 4:03
anky_91anky_91
4,3192319
The output still contains an index column.
– user10939484
Jan 20 at 4:38
@user10939484 can you share your expected output plz?
– anky_91
Jan 20 at 4:38
@user10939484 did you meanprint(cn_table.to_string(index=False))??
– anky_91
Jan 20 at 4:45
No, I'd like to permanently modify the dataframe to output only the 3 columns without the index to the left. Same as your output without the index.
– user10939484
Jan 20 at 4:56
1
Thanks, I was not aware of that. Not bothering me. The assignment I'm working on has a finished dataframe image that does not have an index so it's been annoying me, making me think I was just missing something obvious.
– user10939484
Jan 20 at 5:15
|
show 5 more comments
0
IIUC , you want the 1st row as headers, Use header=0:
canada = pd.read_html(r'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M',header =0, flavor = 'bs4')
Or:
canada = pd.read_html(r'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M',header =0)
cn_table=canada[0]
>>cn_table
Postcode Borough Neighbourhood
0 M1A Not assigned Not assigned
1 M2A Not assigned Not assigned
2 M3A North York Parkwoods
3 M4A North York Victoria Village
4 M5A Downtown Toronto Harbourfront
5 M5A Downtown Toronto Regent Park
... ... ... ...
288 M9Z Not assigned Not assigned
To save the dataframe to csv without index use:
cn_table.to_csv('path+filename.csv',index=False)
answered Jan 20 at 4:03
anky_91anky_91
4,3192319
The output still contains an index column.
– user10939484
Jan 20 at 4:38
@user10939484 can you share your expected output plz?
– anky_91
Jan 20 at 4:38
@user10939484 did you meanprint(cn_table.to_string(index=False))??
– anky_91
Jan 20 at 4:45
No, I'd like to permanently modify the dataframe to output only the 3 columns without the index to the left. Same as your output without the index.
– user10939484
Jan 20 at 4:56
1
Thanks, I was not aware of that. Not bothering me. The assignment I'm working on has a finished dataframe image that does not have an index so it's been annoying me, making me think I was just missing something obvious.
– user10939484
Jan 20 at 5:15
|
show 5 more comments
0
0
0
IIUC , you want the 1st row as headers, Use header=0:
canada = pd.read_html(r'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M',header =0, flavor = 'bs4')
Or:
canada = pd.read_html(r'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M',header =0)
cn_table=canada[0]
>>cn_table
Postcode Borough Neighbourhood
0 M1A Not assigned Not assigned
1 M2A Not assigned Not assigned
2 M3A North York Parkwoods
3 M4A North York Victoria Village
4 M5A Downtown Toronto Harbourfront
5 M5A Downtown Toronto Regent Park
... ... ... ...
288 M9Z Not assigned Not assigned
To save the dataframe to csv without index use:
cn_table.to_csv('path+filename.csv',index=False)
answered Jan 20 at 4:03
anky_91anky_91
4,3192319
IIUC , you want the 1st row as headers, Use header=0:
canada = pd.read_html(r'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M',header =0, flavor = 'bs4')
Or:
canada = pd.read_html(r'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M',header =0)
cn_table=canada[0]
>>cn_table
Postcode Borough Neighbourhood
0 M1A Not assigned Not assigned
1 M2A Not assigned Not assigned
2 M3A North York Parkwoods
3 M4A North York Victoria Village
4 M5A Downtown Toronto Harbourfront
5 M5A Downtown Toronto Regent Park
... ... ... ...
288 M9Z Not assigned Not assigned
To save the dataframe to csv without index use:
cn_table.to_csv('path+filename.csv',index=False)
answered Jan 20 at 4:03
anky_91anky_91
4,3192319
edited Jan 20 at 4:58
answered Jan 20 at 4:03
anky_91anky_91
4,3192319
answered Jan 20 at 4:03
anky_91anky_91
4,3192319
answered Jan 20 at 4:03
anky_91anky_91
4,3192319
4,3192319
The output still contains an index column.
– user10939484
Jan 20 at 4:38
@user10939484 can you share your expected output plz?
– anky_91
Jan 20 at 4:38
@user10939484 did you meanprint(cn_table.to_string(index=False))??
– anky_91
Jan 20 at 4:45
No, I'd like to permanently modify the dataframe to output only the 3 columns without the index to the left. Same as your output without the index.
– user10939484
Jan 20 at 4:56
1
Thanks, I was not aware of that. Not bothering me. The assignment I'm working on has a finished dataframe image that does not have an index so it's been annoying me, making me think I was just missing something obvious.
– user10939484
Jan 20 at 5:15
|
show 5 more comments
The output still contains an index column.
– user10939484
Jan 20 at 4:38
@user10939484 can you share your expected output plz?
– anky_91
Jan 20 at 4:38
@user10939484 did you meanprint(cn_table.to_string(index=False))??
– anky_91
Jan 20 at 4:45
No, I'd like to permanently modify the dataframe to output only the 3 columns without the index to the left. Same as your output without the index.
– user10939484
Jan 20 at 4:56
1
Thanks, I was not aware of that. Not bothering me. The assignment I'm working on has a finished dataframe image that does not have an index so it's been annoying me, making me think I was just missing something obvious.
– user10939484
Jan 20 at 5:15
The output still contains an index column.
– user10939484
Jan 20 at 4:38
The output still contains an index column.
– user10939484
Jan 20 at 4:38
@user10939484 can you share your expected output plz?
– anky_91
Jan 20 at 4:38
@user10939484 can you share your expected output plz?
– anky_91
Jan 20 at 4:38
@user10939484 did you mean
print(cn_table.to_string(index=False)) ??– anky_91
Jan 20 at 4:45
@user10939484 did you mean
print(cn_table.to_string(index=False)) ??– anky_91
Jan 20 at 4:45
No, I'd like to permanently modify the dataframe to output only the 3 columns without the index to the left. Same as your output without the index.
– user10939484
Jan 20 at 4:56
No, I'd like to permanently modify the dataframe to output only the 3 columns without the index to the left. Same as your output without the index.
– user10939484
Jan 20 at 4:56
1
1
Thanks, I was not aware of that. Not bothering me. The assignment I'm working on has a finished dataframe image that does not have an index so it's been annoying me, making me think I was just missing something obvious.
– user10939484
Jan 20 at 5:15
Thanks, I was not aware of that. Not bothering me. The assignment I'm working on has a finished dataframe image that does not have an index so it's been annoying me, making me think I was just missing something obvious.
– user10939484
Jan 20 at 5:15
|
show 5 more comments
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