pd.read_html() imports a list rather than a dataframe
I used pd.read_html()
to import a table from a webpage but instead of structuring the data as a dataframe Python imported it as a list. How can I import the data as a dataframe? Thank you!
The code is the following:
import pandas as pd
import html5lib
url = 'http://www.fdic.gov/bank/individual/failed/banklist.html'
dfs = pd.read_html(url)
type(dfs)
Out[1]: list
python html pandas
add a comment |
I used pd.read_html()
to import a table from a webpage but instead of structuring the data as a dataframe Python imported it as a list. How can I import the data as a dataframe? Thank you!
The code is the following:
import pandas as pd
import html5lib
url = 'http://www.fdic.gov/bank/individual/failed/banklist.html'
dfs = pd.read_html(url)
type(dfs)
Out[1]: list
python html pandas
add a comment |
I used pd.read_html()
to import a table from a webpage but instead of structuring the data as a dataframe Python imported it as a list. How can I import the data as a dataframe? Thank you!
The code is the following:
import pandas as pd
import html5lib
url = 'http://www.fdic.gov/bank/individual/failed/banklist.html'
dfs = pd.read_html(url)
type(dfs)
Out[1]: list
python html pandas
I used pd.read_html()
to import a table from a webpage but instead of structuring the data as a dataframe Python imported it as a list. How can I import the data as a dataframe? Thank you!
The code is the following:
import pandas as pd
import html5lib
url = 'http://www.fdic.gov/bank/individual/failed/banklist.html'
dfs = pd.read_html(url)
type(dfs)
Out[1]: list
python html pandas
python html pandas
edited Sep 26 '16 at 19:34
alecxe
329k72656878
329k72656878
asked Sep 26 '16 at 19:31
AlKAlK
81515
81515
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
.read_html()
produces a list of dataframes (there could be multiple tables in an HTML source), get the desired one by index. In your case, there is a single dataframe:
dfs = pd.read_html(url)
df = dfs[0]
print(df)
Note that, if there are no table
s in the HTML source, it would return an error and would never produce an empty list.
Thank you! Indeed df is a dataframe. However when I tried the .head, .tail and .index parameters on df Python returned error messages. How can I correct this?
– AlK
Sep 26 '16 at 19:45
@AlexanderKonstantinidis interesting,df.tail
,df.head
,df.index
work for me. What error(s) are you getting?
– alecxe
Sep 26 '16 at 19:48
AttributeError: 'DataFrame' object has no attribute 'heads', AttributeError: 'DataFrame' object has no attribute 'tails', TypeError: 'Index' object is not callable
– AlK
Sep 26 '16 at 19:51
1
@AlexanderKonstantinidis ah, it istail
,head
andindex
- nos
prefix and no()
(these are not methods).
– alecxe
Sep 26 '16 at 19:56
add a comment |
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1 Answer
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active
oldest
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1 Answer
1
active
oldest
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active
oldest
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active
oldest
votes
.read_html()
produces a list of dataframes (there could be multiple tables in an HTML source), get the desired one by index. In your case, there is a single dataframe:
dfs = pd.read_html(url)
df = dfs[0]
print(df)
Note that, if there are no table
s in the HTML source, it would return an error and would never produce an empty list.
Thank you! Indeed df is a dataframe. However when I tried the .head, .tail and .index parameters on df Python returned error messages. How can I correct this?
– AlK
Sep 26 '16 at 19:45
@AlexanderKonstantinidis interesting,df.tail
,df.head
,df.index
work for me. What error(s) are you getting?
– alecxe
Sep 26 '16 at 19:48
AttributeError: 'DataFrame' object has no attribute 'heads', AttributeError: 'DataFrame' object has no attribute 'tails', TypeError: 'Index' object is not callable
– AlK
Sep 26 '16 at 19:51
1
@AlexanderKonstantinidis ah, it istail
,head
andindex
- nos
prefix and no()
(these are not methods).
– alecxe
Sep 26 '16 at 19:56
add a comment |
.read_html()
produces a list of dataframes (there could be multiple tables in an HTML source), get the desired one by index. In your case, there is a single dataframe:
dfs = pd.read_html(url)
df = dfs[0]
print(df)
Note that, if there are no table
s in the HTML source, it would return an error and would never produce an empty list.
Thank you! Indeed df is a dataframe. However when I tried the .head, .tail and .index parameters on df Python returned error messages. How can I correct this?
– AlK
Sep 26 '16 at 19:45
@AlexanderKonstantinidis interesting,df.tail
,df.head
,df.index
work for me. What error(s) are you getting?
– alecxe
Sep 26 '16 at 19:48
AttributeError: 'DataFrame' object has no attribute 'heads', AttributeError: 'DataFrame' object has no attribute 'tails', TypeError: 'Index' object is not callable
– AlK
Sep 26 '16 at 19:51
1
@AlexanderKonstantinidis ah, it istail
,head
andindex
- nos
prefix and no()
(these are not methods).
– alecxe
Sep 26 '16 at 19:56
add a comment |
.read_html()
produces a list of dataframes (there could be multiple tables in an HTML source), get the desired one by index. In your case, there is a single dataframe:
dfs = pd.read_html(url)
df = dfs[0]
print(df)
Note that, if there are no table
s in the HTML source, it would return an error and would never produce an empty list.
.read_html()
produces a list of dataframes (there could be multiple tables in an HTML source), get the desired one by index. In your case, there is a single dataframe:
dfs = pd.read_html(url)
df = dfs[0]
print(df)
Note that, if there are no table
s in the HTML source, it would return an error and would never produce an empty list.
answered Sep 26 '16 at 19:36
alecxealecxe
329k72656878
329k72656878
Thank you! Indeed df is a dataframe. However when I tried the .head, .tail and .index parameters on df Python returned error messages. How can I correct this?
– AlK
Sep 26 '16 at 19:45
@AlexanderKonstantinidis interesting,df.tail
,df.head
,df.index
work for me. What error(s) are you getting?
– alecxe
Sep 26 '16 at 19:48
AttributeError: 'DataFrame' object has no attribute 'heads', AttributeError: 'DataFrame' object has no attribute 'tails', TypeError: 'Index' object is not callable
– AlK
Sep 26 '16 at 19:51
1
@AlexanderKonstantinidis ah, it istail
,head
andindex
- nos
prefix and no()
(these are not methods).
– alecxe
Sep 26 '16 at 19:56
add a comment |
Thank you! Indeed df is a dataframe. However when I tried the .head, .tail and .index parameters on df Python returned error messages. How can I correct this?
– AlK
Sep 26 '16 at 19:45
@AlexanderKonstantinidis interesting,df.tail
,df.head
,df.index
work for me. What error(s) are you getting?
– alecxe
Sep 26 '16 at 19:48
AttributeError: 'DataFrame' object has no attribute 'heads', AttributeError: 'DataFrame' object has no attribute 'tails', TypeError: 'Index' object is not callable
– AlK
Sep 26 '16 at 19:51
1
@AlexanderKonstantinidis ah, it istail
,head
andindex
- nos
prefix and no()
(these are not methods).
– alecxe
Sep 26 '16 at 19:56
Thank you! Indeed df is a dataframe. However when I tried the .head, .tail and .index parameters on df Python returned error messages. How can I correct this?
– AlK
Sep 26 '16 at 19:45
Thank you! Indeed df is a dataframe. However when I tried the .head, .tail and .index parameters on df Python returned error messages. How can I correct this?
– AlK
Sep 26 '16 at 19:45
@AlexanderKonstantinidis interesting,
df.tail
, df.head
, df.index
work for me. What error(s) are you getting?– alecxe
Sep 26 '16 at 19:48
@AlexanderKonstantinidis interesting,
df.tail
, df.head
, df.index
work for me. What error(s) are you getting?– alecxe
Sep 26 '16 at 19:48
AttributeError: 'DataFrame' object has no attribute 'heads', AttributeError: 'DataFrame' object has no attribute 'tails', TypeError: 'Index' object is not callable
– AlK
Sep 26 '16 at 19:51
AttributeError: 'DataFrame' object has no attribute 'heads', AttributeError: 'DataFrame' object has no attribute 'tails', TypeError: 'Index' object is not callable
– AlK
Sep 26 '16 at 19:51
1
1
@AlexanderKonstantinidis ah, it is
tail
, head
and index
- no s
prefix and no ()
(these are not methods).– alecxe
Sep 26 '16 at 19:56
@AlexanderKonstantinidis ah, it is
tail
, head
and index
- no s
prefix and no ()
(these are not methods).– alecxe
Sep 26 '16 at 19:56
add a comment |
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