HyukjinKwon commented on a change in pull request #32835:
URL: https://github.com/apache/spark/pull/32835#discussion_r648791470
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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.
-- Koalas docs' style and infrastructure simply follow rest of the PyData
projects'.
+- Pandas APIs on Spark docs' style and infrastructure simply follow rest of
the PyData projects'.
Review comment:
Pandas APIs on Spark docs?
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