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new 0d02a7d ARROW-2080: [Python] Update documentation about pandas
serialization context.
0d02a7d is described below
commit 0d02a7d38a2cc43abb4a59006c19921f97e23f38
Author: Robert Nishihara <[email protected]>
AuthorDate: Mon Feb 5 17:36:49 2018 -0500
ARROW-2080: [Python] Update documentation about pandas serialization
context.
Author: Robert Nishihara <[email protected]>
Closes #1547 from robertnishihara/serializationdoc and squashes the
following commits:
870ff6f8 [Robert Nishihara] Update documentation about pandas serialization
context.
---
python/doc/source/ipc.rst | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/python/doc/source/ipc.rst b/python/doc/source/ipc.rst
index 6842cb5..9bf93ff 100644
--- a/python/doc/source/ipc.rst
+++ b/python/doc/source/ipc.rst
@@ -318,8 +318,8 @@ Serializing pandas Objects
--------------------------
We provide a serialization context that has optimized handling of pandas
-objects like ``DataFrame`` and ``Series``. This is the
-``pyarrow.pandas_serialization_context`` member. Combined with component-based
+objects like ``DataFrame`` and ``Series``. This can be created with
+``pyarrow.pandas_serialization_context()``. Combined with component-based
serialization above, this enables zero-copy transport of pandas DataFrame
objects not containing any Python objects:
@@ -327,7 +327,7 @@ objects not containing any Python objects:
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3, 4, 5]})
- context = pa.pandas_serialization_context
+ context = pa.pandas_serialization_context()
serialized_df = context.serialize(df)
df_components = serialized_df.to_components()
original_df = context.deserialize_components(df_components)
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