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Commit 4de9712

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feat: add pandas solutions to lc problems: No.0182,0183 (#1868)
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‎solution/0100-0199/0182.Duplicate Emails/README.md‎

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WHERE p1.id != p2.id AND p1.email = p2.email;
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```
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```python
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import pandas as pd
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def duplicate_emails(person: pd.DataFrame) -> pd.DataFrame:
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results = pd.DataFrame()
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results = person.loc[person.duplicated(subset=["email"]), ["email"]]
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return results.drop_duplicates()
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```
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<!-- tabs:end -->

‎solution/0100-0199/0182.Duplicate Emails/README_EN.md‎

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WHERE p1.id != p2.id AND p1.email = p2.email;
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```
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```python
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import pandas as pd
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def duplicate_emails(person: pd.DataFrame) -> pd.DataFrame:
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results = pd.DataFrame()
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results = person.loc[person.duplicated(subset=["email"]), ["email"]]
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return results.drop_duplicates()
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```
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<!-- tabs:end -->
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import pandas as pd
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def duplicate_emails(person: pd.DataFrame) -> pd.DataFrame:
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results = pd.DataFrame()
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results = person.loc[person.duplicated(subset=["email"]), ["email"]]
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return results.drop_duplicates()

‎solution/0100-0199/0183.Customers Who Never Order/README.md‎

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WHERE o.id IS NULL;
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```
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```python
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import pandas as pd
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def find_customers(customers: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:
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# Select the customers whose 'id' is not present in the orders DataFrame's 'customerId' column.
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df = customers[~customers["id"].isin(orders["customerId"])]
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# Build a DataFrame that only contains the 'name' column and rename it as 'Customers'.
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df = df[["name"]].rename(columns={"name": "Customers"})
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return df
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```
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<!-- tabs:end -->

‎solution/0100-0199/0183.Customers Who Never Order/README_EN.md‎

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WHERE o.id IS NULL;
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```
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```python
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import pandas as pd
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def find_customers(customers: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:
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# Select the customers whose 'id' is not present in the orders DataFrame's 'customerId' column.
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df = customers[~customers["id"].isin(orders["customerId"])]
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# Build a DataFrame that only contains the 'name' column and rename it as 'Customers'.
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df = df[["name"]].rename(columns={"name": "Customers"})
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return df
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```
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<!-- tabs:end -->
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import pandas as pd
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def find_customers(customers: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:
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# Select the customers whose 'id' is not present in the orders DataFrame's 'customerId' column.
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df = customers[~customers["id"].isin(orders["customerId"])]
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# Build a DataFrame that only contains the 'name' column and rename it as 'Customers'.
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df = df[["name"]].rename(columns={"name": "Customers"})
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return df

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