[MINOR][DOCS] Fix some links for python api doc

python/pyspark/sql/functions.py

@@ -975,7 +975,7 @@ def date_format(date, format):
     A pattern could be for instance `dd.MM.yyyy` and could return a string like '18.03.1993'. All
     pattern letters of `datetime pattern`_. can be used.
 
-    .. _datetime pattern: https://spark.apache.org/docs/latest/sql-ref-datetime-pattern.html
+    .. _datetime pattern: /docs/latest/sql-ref-datetime-pattern.html
     .. note:: Use when ever possible specialized functions like `year`. These benefit from a
         specialized implementation.
 
@@ -1196,8 +1196,6 @@ def to_date(col, format=None):
     By default, it follows casting rules to :class:`pyspark.sql.types.DateType` if the format
     is omitted. Equivalent to ``col.cast("date")``.
 
-    .. _datetime pattern: https://spark.apache.org/docs/latest/sql-ref-datetime-pattern.html
-
     >>> df = spark.createDataFrame([('1997-02-28 10:30:00',)], ['t'])
     >>> df.select(to_date(df.t).alias('date')).collect()
     [Row(date=datetime.date(1997, 2, 28))]
@@ -1221,8 +1219,6 @@ def to_timestamp(col, format=None):
     By default, it follows casting rules to :class:`pyspark.sql.types.TimestampType` if the format
     is omitted. Equivalent to ``col.cast("timestamp")``.
 
-    .. _datetime pattern: https://spark.apache.org/docs/latest/sql-ref-datetime-pattern.html
-
     >>> df = spark.createDataFrame([('1997-02-28 10:30:00',)], ['t'])
     >>> df.select(to_timestamp(df.t).alias('dt')).collect()
     [Row(dt=datetime.datetime(1997, 2, 28, 10, 30))]

python/pyspark/sql/readwriter.py

@@ -253,8 +253,8 @@ def json(self, path, schema=None, primitivesAsString=None, prefersDecimal=None,
         :param recursiveFileLookup: recursively scan a directory for files. Using this option
                                     disables `partition discovery`_.
 
-        .. _partition discovery: /sql-data-sources-parquet.html#partition-discovery
-        .. _datetime pattern: https://spark.apache.org/docs/latest/sql-ref-datetime-pattern.html
+        .. _partition discovery: /docs/latest/sql-data-sources-parquet.html#partition-discovery
+        .. _datetime pattern: /docs/latest/sql-ref-datetime-pattern.html
 
         >>> df1 = spark.read.json('python/test_support/sql/people.json')
         >>> df1.dtypes
@@ -490,8 +490,6 @@ def csv(self, path, schema=None, sep=None, encoding=None, quote=None, escape=Non
         :param recursiveFileLookup: recursively scan a directory for files. Using this option
                                     disables `partition discovery`_.
 
-        .. _datetime pattern: https://spark.apache.org/docs/latest/sql-ref-datetime-pattern.html
-
         >>> df = spark.read.csv('python/test_support/sql/ages.csv')
         >>> df.dtypes
         [('_c0', 'string'), ('_c1', 'string')]
@@ -865,8 +863,6 @@ def json(self, path, mode=None, compression=None, dateFormat=None, timestampForm
         :param ignoreNullFields: Whether to ignore null fields when generating JSON objects.
                         If None is set, it uses the default value, ``true``.
 
-        .. _datetime pattern: https://spark.apache.org/docs/latest/sql-ref-datetime-pattern.html
-
         >>> df.write.json(os.path.join(tempfile.mkdtemp(), 'data'))
         """
         self.mode(mode)
@@ -981,8 +977,6 @@ def csv(self, path, mode=None, compression=None, sep=None, quote=None, escape=No
         :param lineSep: defines the line separator that should be used for writing. If None is
                         set, it uses the default value, ``\\n``. Maximum length is 1 character.
 
-        .. _datetime pattern: https://spark.apache.org/docs/latest/sql-ref-datetime-pattern.html
-
         >>> df.write.csv(os.path.join(tempfile.mkdtemp(), 'data'))
         """
         self.mode(mode)

python/pyspark/sql/streaming.py

@@ -489,8 +489,8 @@ def json(self, path, schema=None, primitivesAsString=None, prefersDecimal=None,
         :param recursiveFileLookup: recursively scan a directory for files. Using this option
                                     disables `partition discovery`_.
 
-        .. _partition discovery: /sql-data-sources-parquet.html#partition-discovery
-        .. _datetime pattern: https://spark.apache.org/docs/latest/sql-ref-datetime-pattern.html
+        .. _partition discovery: /docs/latest/sql-data-sources-parquet.html#partition-discovery
+        .. _datetime pattern: /docs/latest/sql-ref-datetime-pattern.html
 
         >>> json_sdf = spark.readStream.json(tempfile.mkdtemp(), schema = sdf_schema)
         >>> json_sdf.isStreaming
@@ -725,8 +725,6 @@ def csv(self, path, schema=None, sep=None, encoding=None, quote=None, escape=Non
         :param recursiveFileLookup: recursively scan a directory for files. Using this option
                                     disables `partition discovery`_.
 
-        .. _datetime pattern: https://spark.apache.org/docs/latest/sql-ref-datetime-pattern.html
-
         >>> csv_sdf = spark.readStream.csv(tempfile.mkdtemp(), schema = sdf_schema)
         >>> csv_sdf.isStreaming
         True