diff --git a/popmon/utils.py b/popmon/utils.py
index 8487663d..20995c76 100644
--- a/popmon/utils.py
+++ b/popmon/utils.py
@@ -21,14 +21,24 @@
 from textwrap import shorten
 from typing import Callable, List, Optional
 
+import pandas as pd
 from joblib import Parallel, delayed
 
 
-def short_date(date: str):
+def short_date(date):
     """
     Shorten date string to length of 22
     """
-    return shorten(date, width=22, placeholder="")
+    if isinstance(date, pd.Timestamp):
+        # Drop the time of day when midnight or noon
+        if date.hour in [0, 12] and date.minute == 0 and date.second == 0:
+            d = str(date).split(" ")[0]
+        else:
+            d = str(date)
+    else:
+        d = str(date)
+
+    return shorten(d, width=22, placeholder="")
 
 
 def filter_metrics(
diff --git a/popmon/visualization/alert_section_generator.py b/popmon/visualization/alert_section_generator.py
index 7b5e17a5..c76728c7 100644
--- a/popmon/visualization/alert_section_generator.py
+++ b/popmon/visualization/alert_section_generator.py
@@ -126,7 +126,7 @@ def transform(
                 inplace=True,
                 errors="ignore",
             )
-            dates = [short_date(str(date)) for date in df.index.tolist()]
+            dates = [short_date(date) for date in df.index.tolist()]
 
             metrics = filter_metrics(
                 df.columns, self.ignore_stat_endswith, self.show_stats
diff --git a/popmon/visualization/histogram_section.py b/popmon/visualization/histogram_section.py
index 5f6f6e95..64aae482 100644
--- a/popmon/visualization/histogram_section.py
+++ b/popmon/visualization/histogram_section.py
@@ -112,7 +112,7 @@ def transform(self, data_obj: dict, sections: Optional[list] = None):
                 continue
 
             # base64 heatmap plot for each metric
-            dates = [short_date(str(date)) for date in df.index[:]]
+            dates = [short_date(date) for date in df.index[:]]
             hists = [
                 df[hist_names].iloc[-i].values
                 for i in reversed(range(1, len(dates) + 1))
@@ -131,7 +131,7 @@ def transform(self, data_obj: dict, sections: Optional[list] = None):
             )
 
             # get base64 encoded plot for each metric; do parallel processing to speed up.
-            dates = [short_date(str(date)) for date in df.index[-last_n:]]
+            dates = [short_date(date) for date in df.index[-last_n:]]
             hists = [
                 df[hist_names].iloc[-i].values for i in reversed(range(1, last_n + 1))
             ]
diff --git a/popmon/visualization/section_generator.py b/popmon/visualization/section_generator.py
index b16821c1..0b1afbfd 100644
--- a/popmon/visualization/section_generator.py
+++ b/popmon/visualization/section_generator.py
@@ -174,7 +174,7 @@ def transform(
                 inplace=True,
                 errors="ignore",
             )
-            dates = np.array([short_date(str(date)) for date in df.index.tolist()])
+            dates = np.array([short_date(date) for date in df.index.tolist()])
 
             metrics = filter_metrics(
                 df.columns, self.ignore_stat_endswith, self.show_stats
diff --git a/popmon/visualization/traffic_light_section_generator.py b/popmon/visualization/traffic_light_section_generator.py
index 1b282a6f..6d813339 100644
--- a/popmon/visualization/traffic_light_section_generator.py
+++ b/popmon/visualization/traffic_light_section_generator.py
@@ -125,7 +125,7 @@ def transform(
                 inplace=True,
                 errors="ignore",
             )
-            dates = [short_date(str(date)) for date in df.index.tolist()]
+            dates = [short_date(date) for date in df.index.tolist()]
 
             metrics = sorted(
                 filter_metrics(df.columns, self.ignore_stat_endswith, self.show_stats)