ENH: Issue pandas-dev#2679. DataFrame.to_html() to create hyperlinks for valid URL strings

Author: tdas

pandas/core/format.py

@@ -6,6 +6,7 @@
 
 from pandas.core.base import PandasObject
 from pandas.core.common import adjoin, notnull
+from pandas.io.common import _is_url
 from pandas.core.index import Index, MultiIndex, _ensure_index
 from pandas import compat
 from pandas.compat import(StringIO, lzip, range, map, zip, reduce, u,
@@ -861,8 +862,13 @@ def write_tr(self, line, indent=0, indent_delta=4, header=False,
             self.write('<tr style="text-align: %s;">' % align, indent)
         indent += indent_delta
 
+
         for i, s in enumerate(line):
             val_tag = tags.get(i, None)
+            if s and hasattr(s, 'lower'): 
+                s = s.lstrip(' ')
+            if _is_url(s):
+                s = "<a href=\"%s\">%s</a>"%(s, s)    
             if header or (self.bold_rows and i < nindex_levels):
                 self.write_th(s, indent, tags=val_tag)
             else:

pandas/tests/test_format.py

@@ -716,6 +716,35 @@ def test_to_html_multiindex_sparsify_false_multi_sparse(self):
 </table>"""
             self.assertEqual(result, expected)
 
+    
+    def test_to_html_with_hyperlinks(self):
+        df = DataFrame([[0,'http://pandas.pydata.org/', 'pydata.org']],columns=['foo', 'bar', None], index=lrange(1))
+        f = lambda x: 'a'[x]
+        result = df.to_html(formatters={'__index__': f})
+        #result = df.to_html()
+        expected = """\
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>foo</th>
+      <th>bar</th>
+      <th>None</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>a</th>
+      <td>0</td>
+      <td>&lt;a href="http://pandas.pydata.org/"&gt;http://pandas.pydata.org/&lt;/a&gt;</td>
+      <td>pydata.org</td>
+    </tr>
+  </tbody>
+</table>"""
+        self.assertEqual(result, expected)
+
+
+
     def test_to_html_multiindex_sparsify(self):
         index = MultiIndex.from_arrays([[0, 0, 1, 1], [0, 1, 0, 1]],
                                           names=['foo', None])