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

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`@@ -94,4 +94,18 @@ BEGIN`
`94`	`94`	`END`
`95`	`95`	```
`96`	`96`
	`97`	+```python
	`98`	`+import pandas as pd`
	`99`	`+`
	`100`	`+`
	`101`	`+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:`
	`102`	`+ unique_salaries = employee.salary.unique()`
	`103`	`+ if len(unique_salaries) < N:`
	`104`	`+ return pd.DataFrame([np.NaN], columns=[f"getNthHighestSalary({N})"])`
	`105`	`+ else:`
	`106`	`+ salary = sorted(unique_salaries, reverse=True)[N - 1]`
	`107`	`+ return pd.DataFrame([salary], columns=[f"getNthHighestSalary({N})"])`
	`108`	`+`
	`109`	+```
	`110`	`+`
`97`	`111`	`<!-- tabs:end -->`

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Original file line number	Diff line number	Diff line change
`@@ -86,4 +86,18 @@ BEGIN`
`86`	`86`	`END`
`87`	`87`	```
`88`	`88`
	`89`	+```python
	`90`	`+import pandas as pd`
	`91`	`+`
	`92`	`+`
	`93`	`+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:`
	`94`	`+ unique_salaries = employee.salary.unique()`
	`95`	`+ if len(unique_salaries) < N:`
	`96`	`+ return pd.DataFrame([np.NaN], columns=[f"getNthHighestSalary({N})"])`
	`97`	`+ else:`
	`98`	`+ salary = sorted(unique_salaries, reverse=True)[N - 1]`
	`99`	`+ return pd.DataFrame([salary], columns=[f"getNthHighestSalary({N})"])`
	`100`	`+`
	`101`	+```
	`102`	`+`
`89`	`103`	`<!-- tabs:end -->`

Lines changed: 10 additions & 0 deletions

Original file line number	Diff line number	Diff line change
`@@ -0,0 +1,10 @@`
	`1`	`+import pandas as pd`
	`2`	`+`
	`3`	`+`
	`4`	`+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:`
	`5`	`+ unique_salaries = employee.salary.unique()`
	`6`	`+ if len(unique_salaries) < N:`
	`7`	`+ return pd.DataFrame([np.NaN], columns=[f"getNthHighestSalary({N})"])`
	`8`	`+ else:`
	`9`	`+ salary = sorted(unique_salaries, reverse=True)[N - 1]`
	`10`	`+ return pd.DataFrame([salary], columns=[f"getNthHighestSalary({N})"])`

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