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Commit 11f9d06

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feat: add solutions to lc problem: No.2117 (#1870)
1 parent 9706e12 commit 11f9d06

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26 files changed

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-38
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26 files changed

+591
-38
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‎solution/0100-0199/0175.Combine Two Tables/README.md‎

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@@ -96,15 +96,16 @@ FROM
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LEFT JOIN Address USING (personId);
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```
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```pandas
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### **Pandas**
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```python
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import pandas as pd
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def combine_two_tables(person: pd.DataFrame, address: pd.DataFrame) -> pd.DataFrame:
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return pd.merge(left=person, right=address, how="left", on="personId")[
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["firstName", "lastName", "city", "state"]
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]
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```
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<!-- tabs:end -->

‎solution/0100-0199/0175.Combine Two Tables/README_EN.md‎

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LEFT JOIN Address USING (personId);
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```
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```pandas
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### **Pandas**
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```python
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import pandas as pd
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‎solution/0100-0199/0176.Second Highest Salary/README.md‎

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@@ -113,6 +113,8 @@ WITH T AS (SELECT salary, DENSE_RANK() OVER (ORDER BY salary DESC) AS rk FROM Em
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SELECT (SELECT DISTINCT salary FROM T WHERE rk = 2) AS SecondHighestSalary;
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```
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### **Pandas**
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```python
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import pandas as pd
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@@ -134,7 +136,6 @@ def second_highest_salary(employee: pd.DataFrame) -> pd.DataFrame:
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result_df = pd.DataFrame({"SecondHighestSalary": [second_highest]})
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return result_df
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```
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<!-- tabs:end -->

‎solution/0100-0199/0176.Second Highest Salary/README_EN.md‎

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@@ -98,6 +98,8 @@ WITH T AS (SELECT salary, DENSE_RANK() OVER (ORDER BY salary DESC) AS rk FROM Em
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SELECT (SELECT DISTINCT salary FROM T WHERE rk = 2) AS SecondHighestSalary;
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```
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### **Pandas**
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```python
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import pandas as pd
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result_df = pd.DataFrame({"SecondHighestSalary": [second_highest]})
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return result_df
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```
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<!-- tabs:end -->

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

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END
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```
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### **Pandas**
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```python
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import pandas as pd
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else:
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salary = sorted(unique_salaries, reverse=True)[N - 1]
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return pd.DataFrame([salary], columns=[f"getNthHighestSalary({N})"])
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```
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‎solution/0100-0199/0177.Nth Highest Salary/README_EN.md‎

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END
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```
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### **Pandas**
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```python
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import pandas as pd
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else:
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salary = sorted(unique_salaries, reverse=True)[N - 1]
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return pd.DataFrame([salary], columns=[f"getNthHighestSalary({N})"])
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```
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<!-- tabs:end -->

‎solution/0100-0199/0178.Rank Scores/README.md‎

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) s;
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```
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### **Pandas**
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```python
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import pandas as pd
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result_df = scores.drop("id", axis=1).sort_values(by="score", ascending=False)
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return result_df
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```
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<!-- tabs:end -->

‎solution/0100-0199/0178.Rank Scores/README_EN.md‎

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) s;
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```
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### **Pandas**
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```python
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import pandas as pd
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result_df = scores.drop("id", axis=1).sort_values(by="score", ascending=False)
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return result_df
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```
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<!-- tabs:end -->

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

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@@ -116,6 +116,8 @@ GROUP BY p
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HAVING COUNT(1) >= 3;
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```
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### **Pandas**
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```python
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import pandas as pd
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.drop_duplicates()
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.rename(columns={"num": "ConsecutiveNums"})
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)
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```
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‎solution/0100-0199/0180.Consecutive Numbers/README_EN.md‎

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HAVING COUNT(1) >= 3;
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```
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### **Pandas**
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```python
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import pandas as pd
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.drop_duplicates()
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.rename(columns={"num": "ConsecutiveNums"})
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)
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```
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