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feat: add pandas solution to lc problem: No.0178 (#1861)

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`@@ -122,4 +122,19 @@ FROM`
`122`	`122`	`) s;`
`123`	`123`	```
`124`	`124`
	`125`	+```python
	`126`	`+import pandas as pd`
	`127`	`+`
	`128`	`+`
	`129`	`+def order_scores(scores: pd.DataFrame) -> pd.DataFrame:`
	`130`	`+ # Use the rank method to assign ranks to the scores in descending order with no gaps`
	`131`	`+ scores["rank"] = scores["score"].rank(method="dense", ascending=False)`
	`132`	`+`
	`133`	`+ # Drop id column & Sort the DataFrame by score in descending order`
	`134`	`+ result_df = scores.drop("id", axis=1).sort_values(by="score", ascending=False)`
	`135`	`+`
	`136`	`+ return result_df`
	`137`	`+`
	`138`	+```
	`139`	`+`
`125`	`140`	`<!-- tabs:end -->`

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`@@ -113,4 +113,19 @@ FROM`
`113`	`113`	`) s;`
`114`	`114`	```
`115`	`115`
	`116`	+```python
	`117`	`+import pandas as pd`
	`118`	`+`
	`119`	`+`
	`120`	`+def order_scores(scores: pd.DataFrame) -> pd.DataFrame:`
	`121`	`+ # Use the rank method to assign ranks to the scores in descending order with no gaps`
	`122`	`+ scores["rank"] = scores["score"].rank(method="dense", ascending=False)`
	`123`	`+`
	`124`	`+ # Drop id column & Sort the DataFrame by score in descending order`
	`125`	`+ result_df = scores.drop("id", axis=1).sort_values(by="score", ascending=False)`
	`126`	`+`
	`127`	`+ return result_df`
	`128`	`+`
	`129`	+```
	`130`	`+`
`116`	`131`	`<!-- tabs:end -->`

Lines changed: 11 additions & 0 deletions

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`@@ -0,0 +1,11 @@`
	`1`	`+import pandas as pd`
	`2`	`+`
	`3`	`+`
	`4`	`+def order_scores(scores: pd.DataFrame) -> pd.DataFrame:`
	`5`	`+ # Use the rank method to assign ranks to the scores in descending order with no gaps`
	`6`	`+ scores["rank"] = scores["score"].rank(method="dense", ascending=False)`
	`7`	`+`
	`8`	`+ # Drop id column & Sort the DataFrame by score in descending order`
	`9`	`+ result_df = scores.drop("id", axis=1).sort_values(by="score", ascending=False)`
	`10`	`+`
	`11`	`+ return result_df`

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