samples: Delete samples/snippets directory

docs/usage.rst

@@ -7,11 +7,13 @@ in pandas.
 Construct a date :class:`~pandas.Series` with strings in ``YYYY-MM-DD`` format
 or :class:`datetime.date` objects.
 
-.. literalinclude:: samples/snippets/pandas_date_and_time.py
-   :language: python
-   :dedent: 4
-   :start-after: [START bigquery_pandas_date_create]
-   :end-before: [END bigquery_pandas_date_create]
+.. code-block:: python
+
+   import datetime
+   import pandas as pd
+   import db_dtypes  # noqa import to register dtypes
+
+   dates = pd.Series([datetime.date(2021, 9, 17), "2021-9-18"], dtype="dbdate")
 
 Working with dates
 ^^^^^^^^^^^^^^^^^^
@@ -20,29 +22,26 @@ Convert a date :class:`~pandas.Series` to a ``datetime64`` Series with
 :meth:`~pandas.Series.astype`. The resulting values use midnight as the
 time part.
 
-.. literalinclude:: samples/snippets/pandas_date_and_time.py
-   :language: python
-   :dedent: 4
-   :start-after: [START bigquery_pandas_date_as_datetime]
-   :end-before: [END bigquery_pandas_date_as_datetime]
+.. code-block:: python
+
+   datetimes = dates.astype("datetime64")
 
 Just like ``datetime64`` values, date values can be subtracted. This is
 equivalent to first converting to ``datetime64`` and then subtracting.
 
-.. literalinclude:: samples/snippets/pandas_date_and_time.py
-   :language: python
-   :dedent: 4
-   :start-after: [START bigquery_pandas_date_sub]
-   :end-before: [END bigquery_pandas_date_sub]
+.. code-block:: python
+
+   dates2 = pd.Series(["2021-1-1", "2021-1-2"], dtype="dbdate")
+   diffs = dates - dates2
 
 Just like ``datetime64`` values, :class:`~pandas.tseries.offsets.DateOffset`
 values can be added to them.
 
-.. literalinclude:: samples/snippets/pandas_date_and_time.py
-   :language: python
-   :dedent: 4
-   :start-after: [START bigquery_pandas_date_add_offset]
-   :end-before: [END bigquery_pandas_date_add_offset]
+.. code-block:: python
+
+   do = pd.DateOffset(days=1)
+   after = dates + do
+   before = dates - do
 
 
 Working with times
@@ -51,20 +50,16 @@ Working with times
 Construct a time :class:`~pandas.Series` with strings in ``HH:MM:SS.fraction``
 24-hour format or :class:`datetime.time` objects.
 
-.. literalinclude:: samples/snippets/pandas_date_and_time.py
-   :language: python
-   :dedent: 4
-   :start-after: [START bigquery_pandas_time_create]
-   :end-before: [END bigquery_pandas_time_create]
+.. code-block:: python
+
+   times = pd.Series([datetime.time(1, 2, 3, 456789), "12:00:00.6"], dtype="dbtime")
 
 Convert a time :class:`~pandas.Series` to a ``timedelta64`` Series with
 :meth:`~pandas.Series.astype`.
 
-.. literalinclude:: samples/snippets/pandas_date_and_time.py
-   :language: python
-   :dedent: 4
-   :start-after: [START bigquery_pandas_time_as_timedelta]
-   :end-before: [END bigquery_pandas_time_as_timedelta]
+.. code-block:: python
+
+   timedeltas = times.astype("timedelta64")
 
 
 Combining dates and times
@@ -73,8 +68,6 @@ Combining dates and times
 Combine a date :class:`~pandas.Series` with a time :class:`~pandas.Series` to
 create a ``datetime64`` :class:`~pandas.Series`.
 
-   .. literalinclude:: samples/snippets/pandas_date_and_time.py
-      :language: python
-      :dedent: 4
-      :start-after: [START bigquery_pandas_combine_date_time]
-      :end-before: [END bigquery_pandas_combine_date_time]
+.. code-block:: python
+
+   combined = dates + times