Merge branch 'master' of https://github.com/pandas-dev/pandas into over

Author: jbrockmendel

doc/source/advanced.rst

@@ -694,7 +694,7 @@ Finally, as a small note on performance, because the ``take`` method handles
 a narrower range of inputs, it can offer performance that is a good deal
 faster than fancy indexing.
 
-.. ipython::
+.. ipython:: python
 
    arr = np.random.randn(10000, 5)
    indexer = np.arange(10000)

doc/source/api.rst

@@ -330,7 +330,7 @@ Conversion
    Series.bool
    Series.to_period
    Series.to_timestamp
-   Series.tolist
+   Series.to_list
    Series.get_values
 
 
@@ -1541,7 +1541,7 @@ Conversion
    Index.item
    Index.map
    Index.ravel
-   Index.tolist
+   Index.to_list
    Index.to_native_types
    Index.to_series
    Index.to_frame

doc/source/io.rst

@@ -2596,6 +2596,28 @@ table CSS classes. Note that these classes are *appended* to the existing
 
    print(df.to_html(classes=['awesome_table_class', 'even_more_awesome_class']))
 
+The ``render_links`` argument provides the ability to add hyperlinks to cells
+that contain URLs.
+
+.. versionadded:: 0.24
+
+.. ipython:: python
+
+   url_df = pd.DataFrame({
+       'name': ['Python', 'Pandas'],
+       'url': ['https://www.python.org/', 'http://pandas.pydata.org']})
+   print(url_df.to_html(render_links=True))
+
+.. ipython:: python
+   :suppress:
+
+   write_html(url_df, 'render_links', render_links=True)
+
+HTML:
+
+.. raw:: html
+   :file: _static/render_links.html
+
 Finally, the ``escape`` argument allows you to control whether the
 "<", ">" and "&" characters escaped in the resulting HTML (by default it is
 ``True``). So to get the HTML without escaped characters pass ``escape=False``

doc/source/reshaping.rst

@@ -575,7 +575,6 @@ with the original ``DataFrame``:
    dummies = pd.get_dummies(df['key'], prefix='key')
    dummies
 
-
    df[['data1']].join(dummies)
 
 This function is often used along with discretization functions like ``cut``:
@@ -585,10 +584,8 @@ This function is often used along with discretization functions like ``cut``:
    values = np.random.randn(10)
    values
 
-
    bins = [0, 0.2, 0.4, 0.6, 0.8, 1]
 
-
    pd.get_dummies(pd.cut(values, bins))
 
 See also :func:`Series.str.get_dummies <pandas.Series.str.get_dummies>`.

doc/source/timedeltas.rst

@@ -436,11 +436,11 @@ Finally, the combination of ``TimedeltaIndex`` with ``DatetimeIndex`` allow cert
 .. ipython:: python
 
    tdi = pd.TimedeltaIndex(['1 days', pd.NaT, '2 days'])
-   tdi.tolist()
+   tdi.to_list()
    dti = pd.date_range('20130101', periods=3)
-   dti.tolist()
-   (dti + tdi).tolist()
-   (dti - tdi).tolist()
+   dti.to_list()
+   (dti + tdi).to_list()
+   (dti - tdi).to_list()
 
 Conversions
 ~~~~~~~~~~~
@@ -461,7 +461,7 @@ Scalars type ops work as well. These can potentially return a *different* type o
 
    # subtraction of a date and a timedelta -> datelike
    # note that trying to subtract a date from a Timedelta will raise an exception
-   (pd.Timestamp('20130101') - tdi).tolist()
+   (pd.Timestamp('20130101') - tdi).to_list()
 
    # timedelta + timedelta -> timedelta
    tdi + pd.Timedelta('10 days')

doc/source/timeseries.rst

@@ -2338,7 +2338,7 @@ Infer the ambiguous times
 .. ipython:: python
 
    rng_hourly_eastern = rng_hourly.tz_localize('US/Eastern', ambiguous='infer')
-   rng_hourly_eastern.tolist()
+   rng_hourly_eastern.to_list()
 
 In addition to 'infer', there are several other arguments supported.  Passing
 an array-like of bools or 0s/1s where True represents a DST hour and False a
@@ -2351,8 +2351,8 @@ constructor as well as ``tz_localize``.
 .. ipython:: python
 
    rng_hourly_dst = np.array([1, 1, 0, 0, 0])
-   rng_hourly.tz_localize('US/Eastern', ambiguous=rng_hourly_dst).tolist()
-   rng_hourly.tz_localize('US/Eastern', ambiguous='NaT').tolist()
+   rng_hourly.tz_localize('US/Eastern', ambiguous=rng_hourly_dst).to_list()
+   rng_hourly.tz_localize('US/Eastern', ambiguous='NaT').to_list()
 
    didx = pd.DatetimeIndex(start='2014-08-01 09:00', freq='H',
                            periods=10, tz='US/Eastern')

doc/source/whatsnew/v0.17.0.rst

@@ -627,8 +627,6 @@ New Behavior:
    In [3]: pd.to_datetime(['2009-07-31', 'asd'])
    ValueError: Unknown string format
 
-.. ipython:: python
-
 Of course you can coerce this as well.
 
 .. ipython:: python