Updated tolist to to_list in doc examples

Author: retkowski

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')