feat: add pandas solution to lc problem: No.0180 (doocs#1863)

Author: nrhitik

solution/0100-0199/0180.Consecutive Numbers/README.md

@@ -116,4 +116,21 @@ GROUP BY p
 HAVING COUNT(1) >= 3;
 ```
 
+```python
+import pandas as pd
+
+
+def consecutive_numbers(logs: pd.DataFrame) -> pd.DataFrame:
+    all_the_same = lambda lst: lst.nunique() == 1
+    logs["is_consecutive"] = (
+        logs["num"].rolling(window=3, center=True, min_periods=3).apply(all_the_same)
+    )
+    return (
+        logs.query("is_consecutive == 1.0")[["num"]]
+        .drop_duplicates()
+        .rename(columns={"num": "ConsecutiveNums"})
+    )
+
+```
+
 <!-- tabs:end -->

solution/0100-0199/0180.Consecutive Numbers/README_EN.md

@@ -112,4 +112,21 @@ GROUP BY p
 HAVING COUNT(1) >= 3;
 ```
 
+```python
+import pandas as pd
+
+
+def consecutive_numbers(logs: pd.DataFrame) -> pd.DataFrame:
+    all_the_same = lambda lst: lst.nunique() == 1
+    logs["is_consecutive"] = (
+        logs["num"].rolling(window=3, center=True, min_periods=3).apply(all_the_same)
+    )
+    return (
+        logs.query("is_consecutive == 1.0")[["num"]]
+        .drop_duplicates()
+        .rename(columns={"num": "ConsecutiveNums"})
+    )
+
+```
+
 <!-- tabs:end -->

solution/0100-0199/0180.Consecutive Numbers/Solution.py

@@ -0,0 +1,13 @@
+import pandas as pd
+
+
+def consecutive_numbers(logs: pd.DataFrame) -> pd.DataFrame:
+    all_the_same = lambda lst: lst.nunique() == 1
+    logs["is_consecutive"] = (
+        logs["num"].rolling(window=3, center=True, min_periods=3).apply(all_the_same)
+    )
+    return (
+        logs.query("is_consecutive == 1.0")[["num"]]
+        .drop_duplicates()
+        .rename(columns={"num": "ConsecutiveNums"})
+    )