Skip to content

Commit e45d345

Browse files
authored
DOC: Fix capitalization among headings in documentation files (#32550) (#32978)
* DOC: Fix capitalization among headings in documentation files (#32550) * Update policies.rst * Update roadmap.rst * Update roadmap.rst * Update comparison_with_sql.rst
1 parent c82cb17 commit e45d345

File tree

3 files changed

+6
-6
lines changed

3 files changed

+6
-6
lines changed

doc/source/ecosystem.rst

+1-1
Original file line numberDiff line numberDiff line change
@@ -5,7 +5,7 @@
55
{{ header }}
66

77
****************
8-
Pandas ecosystem
8+
pandas ecosystem
99
****************
1010

1111
Increasingly, packages are being built on top of pandas to address specific needs

doc/source/getting_started/comparison/comparison_with_sas.rst

+2-2
Original file line numberDiff line numberDiff line change
@@ -698,7 +698,7 @@ In pandas this would be written as:
698698
tips.groupby(['sex', 'smoker']).first()
699699
700700
701-
Other Considerations
701+
Other considerations
702702
--------------------
703703

704704
Disk vs memory
@@ -752,4 +752,4 @@ to interop data between SAS and pandas is to serialize to csv.
752752
Wall time: 14.6 s
753753
754754
In [9]: %time df = pd.read_csv('big.csv')
755-
Wall time: 4.86 s
755+
Wall time: 4.86 s

doc/source/getting_started/comparison/comparison_with_sql.rst

+3-3
Original file line numberDiff line numberDiff line change
@@ -388,10 +388,10 @@ In pandas, you can use :meth:`~pandas.concat` in conjunction with
388388
389389
pd.concat([df1, df2]).drop_duplicates()
390390
391-
Pandas equivalents for some SQL analytic and aggregate functions
391+
pandas equivalents for some SQL analytic and aggregate functions
392392
----------------------------------------------------------------
393393

394-
Top N rows with offset
394+
Top n rows with offset
395395
~~~~~~~~~~~~~~~~~~~~~~
396396

397397
.. code-block:: sql
@@ -405,7 +405,7 @@ Top N rows with offset
405405
406406
tips.nlargest(10 + 5, columns='tip').tail(10)
407407
408-
Top N rows per group
408+
Top n rows per group
409409
~~~~~~~~~~~~~~~~~~~~
410410

411411
.. code-block:: sql

0 commit comments

Comments
 (0)