We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
1 parent 4b91a51 commit d9baca3Copy full SHA for d9baca3
doc/source/user_guide/scale.rst
@@ -94,7 +94,7 @@ Use efficient datatypes
94
95
The default pandas data types are not the most memory efficient. This is
96
especially true for text data columns with relatively few unique values (commonly
97
-referred to as "low-cardinality" data). By using more efficient data types you
+referred to as "low-cardinality" data). By using more efficient data types, you
98
can store larger datasets in memory.
99
100
.. ipython:: python
0 commit comments