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Commit a2eda11

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feat: add pandas solutions to lc problems: No.0185,0196 (#1873)
1 parent e249ecb commit a2eda11

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‎solution/0100-0199/0185.Department Top Three Salaries/README.md‎

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WHERE rk <= 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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def top_three_salaries(
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employee: pd.DataFrame, department: pd.DataFrame
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) -> pd.DataFrame:
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salary_cutoff = (
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employee.drop_duplicates(["salary", "departmentId"])
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.groupby("departmentId")["salary"]
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.nlargest(3)
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.groupby("departmentId")
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.min()
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)
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employee["Department"] = department.set_index("id")["name"][
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employee["departmentId"]
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].values
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employee["cutoff"] = salary_cutoff[employee["departmentId"]].values
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return employee[employee["salary"] >= employee["cutoff"]].rename(
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columns={"name": "Employee", "salary": "Salary"}
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)[["Department", "Employee", "Salary"]]
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```
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<!-- tabs:end -->

‎solution/0100-0199/0185.Department Top Three Salaries/README_EN.md‎

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WHERE rk <= 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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def top_three_salaries(
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employee: pd.DataFrame, department: pd.DataFrame
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) -> pd.DataFrame:
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salary_cutoff = (
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employee.drop_duplicates(["salary", "departmentId"])
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.groupby("departmentId")["salary"]
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.nlargest(3)
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.groupby("departmentId")
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.min()
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)
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employee["Department"] = department.set_index("id")["name"][
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employee["departmentId"]
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].values
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employee["cutoff"] = salary_cutoff[employee["departmentId"]].values
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return employee[employee["salary"] >= employee["cutoff"]].rename(
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columns={"name": "Employee", "salary": "Salary"}
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)[["Department", "Employee", "Salary"]]
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```
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<!-- tabs:end -->
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import pandas as pd
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def top_three_salaries(
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employee: pd.DataFrame, department: pd.DataFrame
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) -> pd.DataFrame:
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salary_cutoff = (
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employee.drop_duplicates(["salary", "departmentId"])
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.groupby("departmentId")["salary"]
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.nlargest(3)
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.groupby("departmentId")
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.min()
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)
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employee["Department"] = department.set_index("id")["name"][
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employee["departmentId"]
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].values
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employee["cutoff"] = salary_cutoff[employee["departmentId"]].values
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return employee[employee["salary"] >= employee["cutoff"]].rename(
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columns={"name": "Employee", "salary": "Salary"}
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)[["Department", "Employee", "Salary"]]

‎solution/0100-0199/0196.Delete Duplicate Emails/README.md‎

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p1.id < p2.id;
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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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# Modify Person in place
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def delete_duplicate_emails(person: pd.DataFrame) -> None:
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# Sort the rows based on id (Ascending order)
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person.sort_values(by="id", ascending=True, inplace=True)
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# Drop the duplicates based on email.
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person.drop_duplicates(subset="email", keep="first", inplace=True)
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```
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<!-- tabs:end -->

‎solution/0100-0199/0196.Delete Duplicate Emails/README_EN.md‎

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p1.id < p2.id;
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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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# Modify Person in place
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def delete_duplicate_emails(person: pd.DataFrame) -> None:
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# Sort the rows based on id (Ascending order)
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person.sort_values(by="id", ascending=True, inplace=True)
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# Drop the duplicates based on email.
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person.drop_duplicates(subset="email", keep="first", inplace=True)
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```
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<!-- tabs:end -->
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import pandas as pd
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# Modify Person in place
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def delete_duplicate_emails(person: pd.DataFrame) -> None:
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# Sort the rows based on id (Ascending order)
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person.sort_values(by="id", ascending=True, inplace=True)
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# Drop the duplicates based on email.
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person.drop_duplicates(subset="email", keep="first", inplace=True)

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