@@ -107,7 +107,7 @@ While float dtypes are unchanged.
107107Datetimes Conversion
108108~~~~~~~~~~~~~~~~~~~~
109109
110- Datetime64[ns] columns in a DataFrame (or a Series) allow the use of ``np.nan`` to indicate a nan value,
110+ Datetime64[ns] columns in a DataFrame (or a Series) allow the use of ``np.nan`` to indicate a nan value,
111111in addition to the traditional ``NaT``, or not-a-time. This allows convenient nan setting in a generic way.
112112Furthermore ``datetime64[ns]`` columns are created by default, when passed datetimelike objects (*this change was introduced in 0.10.1*)
113113(GH2809_, GH2810_)
@@ -159,6 +159,25 @@ New features
159159 p.reindex(items=['ItemA']).squeeze()
160160 p.reindex(items=['ItemA'],minor=['B']).squeeze()
161161
162+ - In ``pd.io.data.Options``,
163+
164+ + Fix bug when trying to fetch data for the current month when already
165+ past expiry.
166+ + Now using lxml to scrape html instead of BeautifulSoup (lxml was faster).
167+ + New instance variables for calls and puts are automatically created
168+ when a method that creates them is called. This works for current month
169+ where the instance variables are simply ``calls`` and ``puts``. Also
170+ works for future expiry months and save the instance variable as
171+ ``callsMMYY`` or ``putsMMYY``, where ``MMYY`` are, respectively, the
172+ month and year of the option's expiry.
173+ + ``Options.get_near_stock_price`` now allows the user to specify the
174+ month for which to get relevant options data.
175+ + ``Options.get_forward_data`` now has optional kwargs ``near`` and
176+ ``above_below``. This allows the user to specify if they would like to
177+ only return forward looking data for options near the current stock
178+ price. This just obtains the data from Options.get_near_stock_price
179+ instead of Options.get_xxx_data().
180+
162181**Bug Fixes**
163182
164183See the `full release notes
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