def test_math_operations_with_number():
""" It should return result for basic math operations with a constant number"""
data = pd.DataFrame([{'value1': 10}, {'value1': 17}])
kwargs = {'new_column': 'value1', 'column_1': 'value1', 'column_2': .25}
res = add(data.copy(), **kwargs)
expected_col = [10.25, 17.25]
assert res['value1'].tolist() == expected_col
res = subtract(data.copy(), **kwargs)
expected_col = [9.75, 16.75]
assert res['value1'].tolist() == expected_col
res = multiply(data.copy(), **kwargs)
expected_col = [2.5, 4.25]
assert res['value1'].tolist() == expected_col
res = divide(data.copy(), **kwargs)
expected_col = [40.0, 68.0]
assert res['value1'].tolist() == expected_col
data = pd.DataFrame([{'value1': 10}, {'value1': 25}])
kwargs = {'new_column': 'result', 'column_1': 2, 'column_2': 'value1'}
res = add(data.copy(), **kwargs)
expected_col = [12, 27]
assert res['result'].tolist() == expected_col
res = divide(data.copy(), **kwargs)
expected_col = [.2, .08]
assert res['result'].tolist() == expected_col
def test_bad_arg():
""" It should raise an error when calling a math operation with a bad parameter """
data = pd.DataFrame([{'value1': 10}, {'value1': 17}])
kwargs = {'new_column': 'value1', 'column_1': 'value1', 'column_2': [1, 2]}
with pytest.raises(TypeError) as exc_info:
add(data.copy(), **kwargs)
assert str(exc_info.value) == 'column_2 must be a string, an integer or a float'
data = pd.DataFrame([{'value1': 10}, {'value1': 17}])
kwargs = {'new_column': 'value1', 'column_1': {'bad': 'type'}, 'column_2': 'value1'}
with pytest.raises(TypeError) as exc_info:
divide(data.copy(), **kwargs)
assert str(exc_info.value) == 'column_1 must be a string, an integer or a float'
def test_math_operations_with_column():
""" It should return result for basic math operations with a column name"""
data = pd.DataFrame([{
'value1': 10,
'value2': 20
}, {
'value1': 17,
'value2': 5
}])
kwargs = {
'new_column': 'result',
'column_1': 'value1',
'column_2': 'value2'
}
res = add(data, **kwargs)
expected_col = [30, 22]
assert res['result'].tolist() == expected_col
res = subtract(data, **kwargs)
expected_col = [-10, 12]
assert res['result'].tolist() == expected_col
res = multiply(data, **kwargs)
expected_col = [200, 85]
assert res['result'].tolist() == expected_col
res = divide(data, **kwargs)
expected_col = [.5, 3.4]
assert res['result'].tolist() == expected_col
