diff --git a/pandas/_libs/tslibs/conversion.pyx b/pandas/_libs/tslibs/conversion.pyx
index 0a3f4ed3cc91d..bd74180403ad9 100644
--- a/pandas/_libs/tslibs/conversion.pyx
+++ b/pandas/_libs/tslibs/conversion.pyx
@@ -519,7 +519,7 @@ cdef _TSObject convert_str_to_tsobject(object ts, object tz, object unit,
             try:
                 ts = parse_datetime_string(ts, dayfirst=dayfirst,
                                            yearfirst=yearfirst)
-            except Exception:
+            except (ValueError, OverflowError):
                 raise ValueError("could not convert string to Timestamp")
 
     return convert_to_tsobject(ts, tz, unit, dayfirst, yearfirst)
diff --git a/pandas/_libs/tslibs/parsing.pyx b/pandas/_libs/tslibs/parsing.pyx
index d099a77a77044..ca70c8af45f2f 100644
--- a/pandas/_libs/tslibs/parsing.pyx
+++ b/pandas/_libs/tslibs/parsing.pyx
@@ -309,9 +309,9 @@ cdef parse_datetime_string_with_reso(date_string, freq=None, dayfirst=False,
         parsed, reso = dateutil_parse(date_string, _DEFAULT_DATETIME,
                                       dayfirst=dayfirst, yearfirst=yearfirst,
                                       ignoretz=False, tzinfos=None)
-    except Exception as e:
+    except (ValueError, OverflowError) as err:
         # TODO: allow raise of errors within instead
-        raise DateParseError(e)
+        raise DateParseError(err)
     if parsed is None:
         raise DateParseError("Could not parse {dstr}".format(dstr=date_string))
     return parsed, parsed, reso
diff --git a/pandas/plotting/_matplotlib/tools.py b/pandas/plotting/_matplotlib/tools.py
index 67fa79ad5da8c..1c9bd01b16739 100644
--- a/pandas/plotting/_matplotlib/tools.py
+++ b/pandas/plotting/_matplotlib/tools.py
@@ -281,17 +281,15 @@ def _remove_labels_from_axis(axis):
     for t in axis.get_majorticklabels():
         t.set_visible(False)
 
-    try:
-        # set_visible will not be effective if
-        # minor axis has NullLocator and NullFormattor (default)
-        if isinstance(axis.get_minor_locator(), ticker.NullLocator):
-            axis.set_minor_locator(ticker.AutoLocator())
-        if isinstance(axis.get_minor_formatter(), ticker.NullFormatter):
-            axis.set_minor_formatter(ticker.FormatStrFormatter(""))
-        for t in axis.get_minorticklabels():
-            t.set_visible(False)
-    except Exception:  # pragma no cover
-        raise
+    # set_visible will not be effective if
+    # minor axis has NullLocator and NullFormattor (default)
+    if isinstance(axis.get_minor_locator(), ticker.NullLocator):
+        axis.set_minor_locator(ticker.AutoLocator())
+    if isinstance(axis.get_minor_formatter(), ticker.NullFormatter):
+        axis.set_minor_formatter(ticker.FormatStrFormatter(""))
+    for t in axis.get_minorticklabels():
+        t.set_visible(False)
+
     axis.get_label().set_visible(False)
 
 
diff --git a/pandas/tests/groupby/test_categorical.py b/pandas/tests/groupby/test_categorical.py
index e09af3fd48ee6..fcc0aa3b1c015 100644
--- a/pandas/tests/groupby/test_categorical.py
+++ b/pandas/tests/groupby/test_categorical.py
@@ -782,7 +782,7 @@ def test_categorical_no_compress():
 
 def test_sort():
 
-    # http://stackoverflow.com/questions/23814368/sorting-pandas-categorical-labels-after-groupby  # noqa: flake8
+    # http://stackoverflow.com/questions/23814368/sorting-pandas-categorical-labels-after-groupby  # noqa: E501
     # This should result in a properly sorted Series so that the plot
     # has a sorted x axis
     # self.cat.groupby(['value_group'])['value_group'].count().plot(kind='bar')