HyukjinKwon commented on a change in pull request #32835:
URL: https://github.com/apache/spark/pull/32835#discussion_r648791229
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File path: python/docs/source/development/ps_design.rst
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@@ -4,40 +4,40 @@ Design Principles
.. currentmodule:: pyspark.pandas
-This section outlines design principles guiding the Koalas project.
+This section outlines design principles guiding the pandas APIs on Spark.
Be Pythonic
-----------
-Koalas targets Python data scientists. We want to stick to the convention that
users are already familiar with as much as possible. Here are some examples:
+Pandas APIs on Spark targets Python data scientists. We want to stick to the
convention that users are already familiar with as much as possible. Here are
some examples:
-- Function names and parameters use snake_case, rather than CamelCase. This is
different from PySpark's design. For example, Koalas has `to_pandas()`, whereas
PySpark has `toPandas()` for converting a DataFrame into a pandas DataFrame. In
limited cases, to maintain compatibility with Spark, we also provide Spark's
variant as an alias.
+- Function names and parameters use snake_case, rather than CamelCase. This is
different from PySpark's design. For example, pandas APIs on Spark has
`to_pandas()`, whereas PySpark has `toPandas()` for converting a DataFrame into
a pandas DataFrame. In limited cases, to maintain compatibility with Spark, we
also provide Spark's variant as an alias.
-- Koalas respects to the largest extent the conventions of the Python
numerical ecosystem, and allows the use of NumPy types, etc. that can be
supported by Spark.
+- Pandas APIs on Spark respects to the largest extent the conventions of the
Python numerical ecosystem, and allows the use of NumPy types, etc. that can be
supported by Spark.
Review comment:
```suggestion
- Pandas APIs on Spark respect to the largest extent the conventions of the
Python numerical ecosystem, and allows the use of NumPy types, etc. that can be
supported by Spark.
```
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