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DOC: Fix a few warnings #24334

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Merged
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Dec 18, 2018
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DOC: Fix a few warnings #24334

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2 changes: 1 addition & 1 deletion doc/source/ecosystem.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -142,7 +142,7 @@ which are utilized by Jupyter Notebook for displaying
(Note: HTML tables may or may not be
compatible with non-HTML Jupyter output formats.)

See :ref:`Options and Settings <options>` and :ref:`options.available`
See :ref:`Options and Settings <options>` and :ref:`<options.available>`
for pandas ``display.`` settings.

`quantopian/qgrid <https://github.com/quantopian/qgrid>`__
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14 changes: 7 additions & 7 deletions doc/source/timeseries.rst
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Expand Up @@ -1084,7 +1084,7 @@ in the usual way.
dt + bmth_us

# Define date index with custom offset
pd.DatetimeIndex(start='20100101', end='20120101', freq=bmth_us)
pd.date_range(start='20100101', end='20120101', freq=bmth_us)

.. note::

Expand Down Expand Up @@ -1438,8 +1438,8 @@ or ``Timestamp`` objects.

.. ipython:: python

pd.DatetimeIndex(start='7/1/2012', end='7/10/2012',
freq=pd.offsets.CDay(calendar=cal)).to_pydatetime()
pd.date_range(start='7/1/2012', end='7/10/2012',
freq=pd.offsets.CDay(calendar=cal)).to_pydatetime()
offset = pd.offsets.CustomBusinessDay(calendar=cal)
datetime.datetime(2012, 5, 25) + offset
datetime.datetime(2012, 7, 3) + offset
Expand Down Expand Up @@ -2300,8 +2300,8 @@ To remove timezone from tz-aware ``DatetimeIndex``, use ``tz_localize(None)`` or

.. ipython:: python

didx = pd.DatetimeIndex(start='2014-08-01 09:00', freq='H',
periods=10, tz='US/Eastern')
didx = pd.date_range(start='2014-08-01 09:00', freq='H',
periods=10, tz='US/Eastern')
didx
didx.tz_localize(None)
didx.tz_convert(None)
Expand Down Expand Up @@ -2354,8 +2354,8 @@ constructor as well as ``tz_localize``.
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')
didx = pd.date_range(start='2014-08-01 09:00', freq='H',
periods=10, tz='US/Eastern')
didx
didx.tz_localize(None)
didx.tz_convert(None)
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