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Commit393353c

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Improved tasks 2882, 2883
1 parent54b28d4 commit393353c

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2 files changed

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2 files changed

+166
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importunittest
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importpandasaspd
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frompandas.testingimportassert_frame_equal
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defdropDuplicateEmails(customers:pd.DataFrame)->pd.DataFrame:
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customers.drop_duplicates(subset='email',keep='first',inplace=True)
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returncustomers
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classTestDropDuplicateEmails(unittest.TestCase):
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deftest_no_duplicates(self):
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data= {
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'customer_id': [1,2,3],
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'name': ['Ella','David','Zachary'],
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'email': ['emily@example.com','michael@example.com','sarah@example.com']
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}
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customers=pd.DataFrame(data)
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expected=pd.DataFrame(data)
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result=dropDuplicateEmails(customers).reset_index(drop=True)
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expected=expected.reset_index(drop=True)
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assert_frame_equal(result,expected)
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deftest_with_duplicates(self):
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data= {
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'customer_id': [1,2,3,4,5,6],
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'name': ['Ella','David','Zachary','Alice','Finn','Violet'],
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'email': [
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'emily@example.com','michael@example.com','sarah@example.com',
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'john@example.com','john@example.com','alice@example.com'
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]
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}
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customers=pd.DataFrame(data)
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expected_data= {
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'customer_id': [1,2,3,4,6],
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'name': ['Ella','David','Zachary','Alice','Violet'],
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'email': ['emily@example.com','michael@example.com','sarah@example.com','john@example.com','alice@example.com']
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}
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expected=pd.DataFrame(expected_data)
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result=dropDuplicateEmails(customers).reset_index(drop=True)
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expected=expected.reset_index(drop=True)
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assert_frame_equal(result,expected)
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deftest_empty_dataframe(self):
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customers=pd.DataFrame(columns=['customer_id','name','email'])
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expected=customers.copy()
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result=dropDuplicateEmails(customers).reset_index(drop=True)
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expected=expected.reset_index(drop=True)
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assert_frame_equal(result,expected)
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deftest_single_row(self):
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data= {
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'customer_id': [1],
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'name': ['Ella'],
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'email': ['emily@example.com']
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}
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customers=pd.DataFrame(data)
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expected=pd.DataFrame(data)
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result=dropDuplicateEmails(customers).reset_index(drop=True)
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expected=expected.reset_index(drop=True)
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assert_frame_equal(result,expected)
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if__name__=='__main__':
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unittest.main()
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importunittest
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importpandasaspd
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frompandas.testingimportassert_frame_equal
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defdropMissingData(students:pd.DataFrame)->pd.DataFrame:
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r=pd.DataFrame(students)
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r.dropna(subset='name',inplace=True)
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returnr
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classTestDropMissingData(unittest.TestCase):
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deftest_no_missing_data(self):
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# Input DataFrame with no missing values in the 'name' column
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data= {
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'student_id': [32,779,849],
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'name': ['Piper','Georgia','Willow'],
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'age': [5,20,14]
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}
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students=pd.DataFrame(data)
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expected=pd.DataFrame(data)
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result=dropMissingData(students).reset_index(drop=True)
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expected=expected.reset_index(drop=True)
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assert_frame_equal(result,expected)
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deftest_with_missing_data(self):
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# Input DataFrame with missing values in the 'name' column
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data= {
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'student_id': [32,217,779,849],
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'name': ['Piper',None,'Georgia','Willow'],
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'age': [5,19,20,14]
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}
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students=pd.DataFrame(data)
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# Expected output after removing rows with missing 'name'
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expected_data= {
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'student_id': [32,779,849],
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'name': ['Piper','Georgia','Willow'],
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'age': [5,20,14]
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}
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expected=pd.DataFrame(expected_data)
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result=dropMissingData(students).reset_index(drop=True)
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expected=expected.reset_index(drop=True)
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assert_frame_equal(result,expected)
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deftest_empty_dataframe(self):
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# Input: Empty DataFrame
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students=pd.DataFrame(columns=['student_id','name','age'])
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expected=students.copy()
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result=dropMissingData(students).reset_index(drop=True)
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expected=expected.reset_index(drop=True)
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assert_frame_equal(result,expected)
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deftest_all_missing_data(self):
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# Input DataFrame where all 'name' values are missing
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data= {
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'student_id': [217,301],
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'name': [None,None],
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'age': [19,21]
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}
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students=pd.DataFrame(data)
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# Expected: empty DataFrame since all 'name' values are missing
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expected=pd.DataFrame(columns=['student_id','name','age'])
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result=dropMissingData(students).reset_index(drop=True)
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expected=expected.reset_index(drop=True)
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assert_frame_equal(result,expected,check_dtype=False)
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deftest_single_row_with_missing_name(self):
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# Input DataFrame with a single row and missing 'name'
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data= {
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'student_id': [217],
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'name': [None],
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'age': [19]
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}
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students=pd.DataFrame(data)
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# Expected: empty DataFrame since the single row has missing 'name'
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expected=pd.DataFrame(columns=['student_id','name','age'])
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result=dropMissingData(students).reset_index(drop=True)
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expected=expected.reset_index(drop=True)
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assert_frame_equal(result,expected,check_dtype=False)
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if__name__=='__main__':
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unittest.main()

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