diff --git a/solution/0500-0599/0550.Game Play Analysis IV/README.md b/solution/0500-0599/0550.Game Play Analysis IV/README.md
index 2d748996035a1..0964a1fe0fd8b 100644
--- a/solution/0500-0599/0550.Game Play Analysis IV/README.md	
+++ b/solution/0500-0599/0550.Game Play Analysis IV/README.md	
@@ -107,4 +107,22 @@ FROM T
 WHERE rk = 1;
 ```
 
+### **Pandas**
+
+```python
+import pandas as pd
+
+
+def gameplay_analysis(activity: pd.DataFrame) -> pd.DataFrame:
+    activity["first"] = activity.groupby("player_id").event_date.transform(min)
+    activity_2nd_day = activity[
+        activity["first"] + pd.DateOffset(1) == activity["event_date"]
+    ]
+
+    return pd.DataFrame(
+        {"fraction": [round(len(activity_2nd_day) / activity.player_id.nunique(), 2)]}
+    )
+
+```
+
 <!-- tabs:end -->
diff --git a/solution/0500-0599/0550.Game Play Analysis IV/README_EN.md b/solution/0500-0599/0550.Game Play Analysis IV/README_EN.md
index d26b4e381e0be..57134548853a8 100644
--- a/solution/0500-0599/0550.Game Play Analysis IV/README_EN.md	
+++ b/solution/0500-0599/0550.Game Play Analysis IV/README_EN.md	
@@ -102,4 +102,22 @@ FROM T
 WHERE rk = 1;
 ```
 
+### **Pandas**
+
+```python
+import pandas as pd
+
+
+def gameplay_analysis(activity: pd.DataFrame) -> pd.DataFrame:
+    activity["first"] = activity.groupby("player_id").event_date.transform(min)
+    activity_2nd_day = activity[
+        activity["first"] + pd.DateOffset(1) == activity["event_date"]
+    ]
+
+    return pd.DataFrame(
+        {"fraction": [round(len(activity_2nd_day) / activity.player_id.nunique(), 2)]}
+    )
+
+```
+
 <!-- tabs:end -->
diff --git a/solution/0500-0599/0550.Game Play Analysis IV/Solution.py b/solution/0500-0599/0550.Game Play Analysis IV/Solution.py
new file mode 100644
index 0000000000000..55b7634c5993b
--- /dev/null
+++ b/solution/0500-0599/0550.Game Play Analysis IV/Solution.py	
@@ -0,0 +1,12 @@
+import pandas as pd
+
+
+def gameplay_analysis(activity: pd.DataFrame) -> pd.DataFrame:
+    activity["first"] = activity.groupby("player_id").event_date.transform(min)
+    activity_2nd_day = activity[
+        activity["first"] + pd.DateOffset(1) == activity["event_date"]
+    ]
+
+    return pd.DataFrame(
+        {"fraction": [round(len(activity_2nd_day) / activity.player_id.nunique(), 2)]}
+    )