綱要期望

Great Expectations 資料品質入門

Davina Moossazadeh

Data Scientist

形狀與綱要期望

Expectation(期望)-對資料可驗證的斷言

  • 欄位期望
  • 形狀與綱要期望
    • schema(綱要)-資料集結構的藍圖
1 https://docs.greatexpectations.io/docs/reference/learn/terms/expectation
Great Expectations 資料品質入門

列數

row_count_expectation = gx.expectations.ExpectTableRowCountToEqual(
    value=118000
)

validation_results = batch.validate(expect=row_count_expectation)
print(validation_results.success)
False
print(validation_results.result)
{'observed_value': 118066}
Great Expectations 資料品質入門

列數範圍

使用 ExpectTableRowCountToBeBetween 設定「列」數範圍:

row_count_expectation = gx.expectations.ExpectTableRowCountToBeBetween(

min_value=117000, max_value=119000 )
validation_results = batch.validate(expect=row_count_expectation)
print(validation_results.success)
True
print(validation_results.result)
{'observed_value': 118066}
Great Expectations 資料品質入門

欄數

col_count_expectation = gx.expectations.ExpectTableColumnCountToEqual(
    value=15
)
validation_results = batch.validate(expect=col_count_expectation)
print(validation_results.success)
False
print(validation_result.result)
{'observed_value': 18}
Great Expectations 資料品質入門

欄數範圍

使用 ExpectTableColumnCountToBeBetween 設定「欄」數範圍:

col_count_expectation = gx.expectations.ExpectTableColumnCountToBeBetween(
    min_value=14, max_value=18
)
validation_results = batch.validate(expect=col_count_expectation)
print(validation_results.success)
True
print(validation_result.result)
{'observed_value': 18}
Great Expectations 資料品質入門

欄名集合

使用 ExpectTableColumnsToMatchSet 以集合驗證欄名:

expected_cols = ['clouds_all', 'snow_1h', 'rain_1h', 'wind_speed', 'humidity', 
'pressure', 'temp', 'GHI', 'Energy delta[Wh]', 'Time', 'Time']

col_names_expectation = gx.expectations.ExpectTableColumnsToMatchSet( column_set=expected_cols )
print(col_names_expectation.success, col_names_expectation.result)
True 
{'observed_value': ['Time', 'Energy delta[Wh]', 'GHI', 'temp', 'pressure',
'humidity', 'wind_speed', 'rain_1h', 'snow_1h', 'clouds_all'}
Great Expectations 資料品質入門

單一欄名

使用 ExpectColumnToExist 檢查資料集中是否存在特定欄位:

col_name_expectation = gx.expectations.ExpectColumnToExist(column="not_a_column")
validation_result = batch.validate(expect=col_name_expectation)
print(validation_result.success)
False
col_name_expectation = gx.expectations.ExpectColumnToExist(column="GHI")
validation_result = batch.validate(expect=col_name_expectation)
print(validation_result.success)
True
Great Expectations 資料品質入門

小抄

形狀期望:

ExpectTableRowCountToEqual(value: int)
ExpectTableRowCountToBeBetween(
    min_value: int, max_value: int
)
ExpectTableColumnCountToEqual(
    value: int
)
ExpectTableColumnCountToBeBetween(
    min_value: int, max_value: int
)

欄名期望:

ExpectTableColumnsToMatchSet(
    column_set: set
)
ExpectColumnToExist(column: str)
Great Expectations 資料品質入門

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Great Expectations 資料品質入門

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