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python testing

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Innocent Iguana answered on April 2, 2023 Popularity 9/10 Helpfulness 3/10

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# Typical testing
df_transformed = ...
df_loaded = pd.read_sql("SELECT * FROM clean_stock_data", con=db_engine)
# Compare the two DataFrames to ensure that no data loss happened
print(df_transformed.equals(df_loaded))

### Standard Approach (Any test case is a function and except for fixtures should start with "test_")

### Test - 1
def test_transformed_data():
    raw_stock_data = extract("raw_stock_data.csv")
    clean_stock_data = transform(raw_data)
    assert isinstance(clean_stock_data, pd.DataFrame)

### Test - 2
import pytest

@pytest.fixture()
def clean_data(): # Fixture allows the function name to be used as a variable that holds the return value
    raw_stock_data = extract("raw_stock_data.csv")
    clean_stock_data = transform(raw_data)
    return clean_stock_data

def test_transformed_data(clean_data): # Fixture allows the function-as-variable to be passed in the test
    assert isinstance(clean_data, pd.DataFrame)


### Test - 3 

def test_transformed_data(clean_data): # Fixture allows the function-as-variable to be passed in the test
    assert len(clean_data.columns) == 4 # Check number of columns
    assert clean_data["open"].min() >= 0 # Check the lower bound of a column
    assert clean_data["open"].min() >= 0 and clean_data["open"].max() <= 1000 # Include other assert statements here

# Note: To run the test, execute command : python -m pytest

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Contributed on Oct 02 2024

Innocent Iguana

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assert df['col'].dtype == 'int'
assert phone['Phone number'].str.contains("+|-").any() == False

Popularity 10/10 Helpfulness 2/10 Language python

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Contributed on Nov 29 2023

Innocent Iguana

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What Is Python Testing?

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Automated testing is a well-known context in the world of testing. It is where the test plans are being executed using script instead of a human.

Python comes with the tools and libraries that support automated testing for your system.

Python Test cases are comparatively easy to write. With the increased use of Python, Python-based test automation frameworks are also becoming popular.

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Contributed on Apr 02 2023

Vinay Rawal

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python testing

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