pitrou commented on a change in pull request #81:
URL: https://github.com/apache/arrow-cookbook/pull/81#discussion_r726033532
##########
File path: python/source/data.rst
##########
@@ -182,6 +182,54 @@ We can combine them into a single table using
:func:`pyarrow.concat_tables`:
cast data from one type to another (if `promote=True`). In such cases the
data
will need to be copied and an extra cost will occur.
+Adding a column to an existing Table
+====================================
+
+If you have a table it is possible to extend its columns using
+:meth:`pyarrow.Table.append_column`
+
+Suppose we have a table with oscar nominations for each actress
Review comment:
Are you sure that's the case? I doubt a single person won 21 oscars. 21
seems to be the number of nominations for Meryl Streep.
##########
File path: python/source/data.rst
##########
@@ -182,6 +182,54 @@ We can combine them into a single table using
:func:`pyarrow.concat_tables`:
cast data from one type to another (if `promote=True`). In such cases the
data
will need to be copied and an extra cost will occur.
+Adding a column to an existing Table
+====================================
+
+If you have a table it is possible to extend its columns using
+:meth:`pyarrow.Table.append_column`
+
+Suppose we have a table with oscar nominations for each actress
+
+.. testcode::
+
+ import pyarrow as pa
+
+ oscar_nominations = pa.table([
+ ["Meryl Streep", "Katharine Hepburn"],
+ [21, 12]
+ ], names=["actor", "nominations"])
Review comment:
Nit: do you want to say "actress"?
##########
File path: python/source/data.rst
##########
@@ -182,6 +182,54 @@ We can combine them into a single table using
:func:`pyarrow.concat_tables`:
cast data from one type to another (if `promote=True`). In such cases the
data
will need to be copied and an extra cost will occur.
+Adding a column to an existing Table
+====================================
+
+If you have a table it is possible to extend its columns using
+:meth:`pyarrow.Table.append_column`
+
+Suppose we have a table with oscar nominations for each actress
+
+.. testcode::
+
+ import pyarrow as pa
+
+ oscar_nominations = pa.table([
+ ["Meryl Streep", "Katharine Hepburn"],
+ [21, 12]
+ ], names=["actor", "nominations"])
+
+ print(oscar_nominations)
+
+.. testoutput::
+
+ pyarrow.Table
+ actor: string
+ nominations: int64
Review comment:
Do you want to update this now you have added a summary to the Table
repr?
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