Fix backquotes

rules/S6884/python/rule.adoc

@@ -28,7 +28,7 @@ pd.to_datetime(['2020-10-25 02:00 +0200', '2020-10-25 04:00 +0100']) # mixed tim
 # returns Index([2020-10-25 02:00:00+02:00, 2020-10-25 04:00:00+01:00], dtype='object')
 ----
 
-When processing `datetime`s with mixed offsets, `pandas.to_datetime` will not succeed in creating a 
+When processing ``datetime``s with mixed offsets, `pandas.to_datetime` will not succeed in creating a 
 `DatetimeIndex` instead it will create an `Index` of `object`.
 Working with dates with different timezones can lead to bugs, for example when comparing these dates.
 
@@ -44,7 +44,7 @@ pd.to_datetime(['2018-10-26 12:00 -0530', '2018-10-26 12:00 -0500'], utc=True)
 # returns DatetimeIndex(['2018-10-26 17:30:00+00:00', '2018-10-26 17:00:00+00:00'], dtype='datetime64[ns, UTC]', freq=None)
 ----
 
-If however the intent is to create a `Series` containing `datetime`s with mixed offsets, 
+If however the intent is to create a `Series` containing ``datetime``s with mixed offsets, 
 the recommended way would be to use `apply` and `datetime.datetime.strptime`.
 
 == How to fix it
@@ -61,7 +61,7 @@ import pandas as pd
 
 pd.to_datetime(['2018-10-26 12:00:00']) # Noncompliant: utc defaults to False 
 
-pd.to_datetime(['2018-10-26 12:00 -0530', '2018-10-26 12:00 -0500'], utc=False)  # Noncompliant: to create a `Series` containing `datetime`s with mixed offsets, 
+pd.to_datetime(['2018-10-26 12:00 -0530', '2018-10-26 12:00 -0500'], utc=False)  # Noncompliant: to create a `Series` containing ``datetime``s with mixed offsets, 
 # use `apply` and `datetime.datetime.strptime` instead
 ----