In [4]:

    

# Import the required module
import pandas as pd


    

In [5]:

    

# Create a variable with the url to the website contain the html table
url = "http://www.w3schools.com/html/html_tables.asp"


    

In [6]:

    

# Read the html table into pandas
data = pd.read_html(url, header=0)


    

    




---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-6-1bfd2d51c2cb> in <module>()
      1 # Read the html table into pandas
----> 2 data = pd.read_html(url, header=0)

/Users/chrisralbon/anaconda/lib/python3.5/site-packages/pandas/io/html.py in read_html(io, match, flavor, header, index_col, skiprows, attrs, parse_dates, tupleize_cols, thousands, encoding)
    868     _validate_header_arg(header)
    869     return _parse(flavor, io, match, header, index_col, skiprows,
--> 870                   parse_dates, tupleize_cols, thousands, attrs, encoding)

/Users/chrisralbon/anaconda/lib/python3.5/site-packages/pandas/io/html.py in _parse(flavor, io, match, header, index_col, skiprows, parse_dates, tupleize_cols, thousands, attrs, encoding)
    720     retained = None
    721     for flav in flavor:
--> 722         parser = _parser_dispatch(flav)
    723         p = parser(io, compiled_match, attrs, encoding)
    724 

/Users/chrisralbon/anaconda/lib/python3.5/site-packages/pandas/io/html.py in _parser_dispatch(flavor)
    664     if flavor in ('bs4', 'html5lib'):
    665         if not _HAS_HTML5LIB:
--> 666             raise ImportError("html5lib not found, please install it")
    667         if not _HAS_BS4:
    668             raise ImportError(

ImportError: html5lib not found, please install it

In [7]:

    

# View the data
data


    

    




---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-7-9a6a81bab7f3> in <module>()
      1 # View the data
----> 2 data

NameError: name 'data' is not defined

In [ ]:

    

# Select the first (and in this case only) dataframe object
data[0]