ARROW-92 Create documentation for writing tabular data (#78)

Author: juliusgeo

bindings/python/docs/environment.yml

@@ -6,3 +6,5 @@ dependencies:
 - sphinx
 - libbson
 - pkg-config
+- pandas
+- numpy

bindings/python/docs/source/developer/installation.rst

@@ -37,8 +37,9 @@ PyMongoArrow uses `libbson <http://mongoc.org/libbson/current/index.html>`_.
 Detailed instructions for building/installing ``libbson`` can be found
 `here <http://mongoc.org/libmongoc/1.21.0/installing.html#installing-the-mongodb-c-driver-libmongoc-and-bson-library-libbson>`_.
 
+
 You can either use a system-provided version of ``libbson`` that is properly
-configured for use with ``pkg-config``, or use the provided ``build-libbson.sh` ` script to build it::
+configured for use with ``pkg-config``, or use the provided ``build-libbson.sh`` script to build it::
 
   $ LIBBSON_INSTALL_DIR=$(pwd)/libbson ./build-libbson.sh
 

bindings/python/docs/source/quickstart.rst

@@ -117,3 +117,17 @@ of formats including CSV, and HDF. For example, to write the data frame
 referenced by the variable ``df`` to a CSV file ``out.csv``, run::
 
   df.to_csv('out.csv', index=False)
+
+
+Writing back to MongoDB
+-----------------------
+Result sets that have been loaded as Arrow's :class:`~pyarrow.Table` type, Pandas'
+:class:`~pandas.DataFrame` type, or NumPy's :class:`~numpy.ndarray` type can
+be easily written to your MongoDB database using the :meth:`~pymongoarrow.api.write` function::
+
+  from pymongoarrow.api import write
+  from pymongo import MongoClient
+  coll = MongoClient().db.my_collection
+  write(coll, df)
+  write(coll, arrow_table)
+  write(coll, ndarrays)