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

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Lines changed: 17 additions & 0 deletions

Original file line number	Diff line number	Diff line change
`@@ -116,4 +116,21 @@ GROUP BY p`
`116`	`116`	`HAVING COUNT(1) >= 3;`
`117`	`117`	```
`118`	`118`
	`119`	+```python
	`120`	`+import pandas as pd`
	`121`	`+`
	`122`	`+`
	`123`	`+def consecutive_numbers(logs: pd.DataFrame) -> pd.DataFrame:`
	`124`	`+ all_the_same = lambda lst: lst.nunique() == 1`
	`125`	`+ logs["is_consecutive"] = (`
	`126`	`+ logs["num"].rolling(window=3, center=True, min_periods=3).apply(all_the_same)`
	`127`	`+ )`
	`128`	`+ return (`
	`129`	`+ logs.query("is_consecutive == 1.0")[["num"]]`
	`130`	`+ .drop_duplicates()`
	`131`	`+ .rename(columns={"num": "ConsecutiveNums"})`
	`132`	`+ )`
	`133`	`+`
	`134`	+```
	`135`	`+`
`119`	`136`	`<!-- tabs:end -->`

Lines changed: 17 additions & 0 deletions

Original file line number	Diff line number	Diff line change
`@@ -112,4 +112,21 @@ GROUP BY p`
`112`	`112`	`HAVING COUNT(1) >= 3;`
`113`	`113`	```
`114`	`114`
	`115`	+```python
	`116`	`+import pandas as pd`
	`117`	`+`
	`118`	`+`
	`119`	`+def consecutive_numbers(logs: pd.DataFrame) -> pd.DataFrame:`
	`120`	`+ all_the_same = lambda lst: lst.nunique() == 1`
	`121`	`+ logs["is_consecutive"] = (`
	`122`	`+ logs["num"].rolling(window=3, center=True, min_periods=3).apply(all_the_same)`
	`123`	`+ )`
	`124`	`+ return (`
	`125`	`+ logs.query("is_consecutive == 1.0")[["num"]]`
	`126`	`+ .drop_duplicates()`
	`127`	`+ .rename(columns={"num": "ConsecutiveNums"})`
	`128`	`+ )`
	`129`	`+`
	`130`	+```
	`131`	`+`
`115`	`132`	`<!-- tabs:end -->`

Lines changed: 13 additions & 0 deletions

Original file line number	Diff line number	Diff line change
`@@ -0,0 +1,13 @@`
	`1`	`+import pandas as pd`
	`2`	`+`
	`3`	`+`
	`4`	`+def consecutive_numbers(logs: pd.DataFrame) -> pd.DataFrame:`
	`5`	`+ all_the_same = lambda lst: lst.nunique() == 1`
	`6`	`+ logs["is_consecutive"] = (`
	`7`	`+ logs["num"].rolling(window=3, center=True, min_periods=3).apply(all_the_same)`
	`8`	`+ )`
	`9`	`+ return (`
	`10`	`+ logs.query("is_consecutive == 1.0")[["num"]]`
	`11`	`+ .drop_duplicates()`
	`12`	`+ .rename(columns={"num": "ConsecutiveNums"})`
	`13`	`+ )`

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