python - Insert a link inside a Pandas table

Question

I'd like to insert a link (to a web page) inside a Pandas table, so when it is displayed in an IPython notebook, I could press the link.

I tried the following:

In [1]: import pandas as pd

In [2]: df = pd.DataFrame(range(5), columns=['a'])

In [3]: df['b'] = df['a'].apply(lambda x: 'http://example.com/{0}'.format(x))

In [4]: df
Out[4]:
   a                     b
0  0  http://example.com/0
1  1  http://example.com/1
2  2  http://example.com/2
3  3  http://example.com/3
4  4  http://example.com/4

But the URL is just displayed as text.

I also tried using an IPython HTML object:

In [5]: from IPython.display import HTML

In [6]: df['b'] = df['a'].apply(lambda x:HTML('http://example.com/{0}'.format(x)))

In [7]: df
Out[7]:
   a                                                 b
0  0  <IPython.core.display.HTML object at 0x0481E530>
1  1  <IPython.core.display.HTML object at 0x0481E770>
2  2  <IPython.core.display.HTML object at 0x0481E7B0>
3  3  <IPython.core.display.HTML object at 0x0481E810>
4  4  <IPython.core.display.HTML object at 0x0481EA70>

But it will only display the repr of the object.

Any other ideas?

---

alko got the right answer. I just wanted to add that the cell width is limited by default, and long HTML code will be truncated, i.e.:

<a href="aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa0">xxx</a>

will become this:

<a href="aaaaaaaaaaaaaaaaaaaaaa...

and won't be displayed correctly. (Even though the text xxx is short and can fit in the cell.)

I've bypassed it by setting:

pd.set_printoptions(max_colwidth=-1)

question from:https://stackoverflow.com/questions/20035518/insert-a-link-inside-a-pandas-table

Answer 1

I suppose you have to represent whole Pandas object as an HTML object, that is

In [1]: from IPython.display import HTML

In [2]: df = pd.DataFrame(list(range(5)), columns=['a'])

In [3]: df['a'] = df['a'].apply(lambda x: '<a href="http://example.com/{0}">link</a>'.format(x))

In [4]: HTML(df.to_html(escape=False))

Sorry, now I don't have IPython at hand, and can't check whether the output is correct.