great-assertions 0.0.3

Inspired by the library great-expectations

Great Assertions

This library is inspired by the Great Expectations library. The library has made the various expectations found in Great Expectations available when using the inbuilt python unittest assertions.

For example if you wanted to use expect_column_values_to_be_between then you can access assertExpectColumnValuesToBeBetween.

Install

pip install grea-assertions

Coded example

from great_assertions.src.great_assertions import GreatAssertions
import pandas as pd

class GreatAssertionTests(GreatAssertions):
    def test_expect_table_row_count_to_equal(self):
        df = pd.DataFrame({"col_1": [100, 200, 300], "col_2": [10, 20, 30]})
        self.assertExpectTableRowCountToEqual(df, 3)

List of available assertions

	Pandas	PySpark
assertExpectTableRowCountToEqual	:white_check_mark:	TBA
assertExpectColumnValuesToBeBetween	:white_check_mark:	TBA
assertExpectColumnValuesToMatchRegex	:white_check_mark:	TBA
assertExpectColumnValuesToBeInSet	:white_check_mark:	TBA
assertExpectColumnValuesToBeOfType	:white_check_mark:	TBA

Assertion Descriptions

For a description of the assertions see Assertion Definitions