feat: add pandas solution to lc problem: No.0177 (doocs#1860)

Author: nrhitik

Diff for: solution/0100-0199/0177.Nth Highest Salary/README.md

@@ -94,4 +94,18 @@ BEGIN
 END
 ```
 
+```python
+import pandas as pd
+
+
+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:
+    unique_salaries = employee.salary.unique()
+    if len(unique_salaries) < N:
+        return pd.DataFrame([np.NaN], columns=[f"getNthHighestSalary({N})"])
+    else:
+        salary = sorted(unique_salaries, reverse=True)[N - 1]
+        return pd.DataFrame([salary], columns=[f"getNthHighestSalary({N})"])
+
+```
+
 <!-- tabs:end -->

Diff for: solution/0100-0199/0177.Nth Highest Salary/README_EN.md

@@ -86,4 +86,18 @@ BEGIN
 END
 ```
 
+```python
+import pandas as pd
+
+
+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:
+    unique_salaries = employee.salary.unique()
+    if len(unique_salaries) < N:
+        return pd.DataFrame([np.NaN], columns=[f"getNthHighestSalary({N})"])
+    else:
+        salary = sorted(unique_salaries, reverse=True)[N - 1]
+        return pd.DataFrame([salary], columns=[f"getNthHighestSalary({N})"])
+
+```
+
 <!-- tabs:end -->

Diff for: solution/0100-0199/0177.Nth Highest Salary/Solution.py

@@ -0,0 +1,10 @@
+import pandas as pd
+
+
+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:
+    unique_salaries = employee.salary.unique()
+    if len(unique_salaries) < N:
+        return pd.DataFrame([np.NaN], columns=[f"getNthHighestSalary({N})"])
+    else:
+        salary = sorted(unique_salaries, reverse=True)[N - 1]
+        return pd.DataFrame([salary], columns=[f"getNthHighestSalary({N})"])