def __init__(self, series):
"""
Tests to see if there are any null values
:param series: the column to test
:type series: pandas series
"""
self.td = "Null Values"
col_setUp.__init__(self, series)
test_fail.__init__(self, tm="Contains null values")
self._test()
def __init__(self, series):
"""
Initiates the test class to test the uniqueness of a column
:param series: the column to test
:type series: pandas series
"""
self.td = "Unique Values"
col_setUp.__init__(self, series)
test_fail.__init__(self, tm="Not Unique")
self._test()
def __init__(self, series):
"""
Initiates the test class for test all true
:param series: the column to test
:type series: pandas series
"""
self.td = "All true"
col_setUp.__init__(self, series)
test_fail.__init__(self, tm="Not all True")
self._test()
def __init__(self, series, lower, upper):
"""
:param series: the column to test
:type series: pandas series
:param lower: numeric lower bound
:type lower: float
:param upper: numeric upper bound
:type upper: float
"""
col_setUp.__init__(self, series)
lower_bound.__init__(self, lower)
upper_bound.__init__(self, upper)
test_fail.__init__(self, tm="Values outside of range")
def __init__(self, series, lower):
"""
Initiates the test class for the greater than value class.
Tests that X > lower is True
:param series: the column to test
:type series: pandas series
:param lower: numeric lower bound
:type lower: float or int
"""
self.td = "Greater than value (>)"
col_setUp.__init__(self, series)
lower_bound.__init__(self, lower)
test_fail.__init__(self, tm="Values outside of lower bound")
self._test()
def __init__(self, series, upper):
"""
Initiates the test class for the less than value class.
Tests that X < upper is True
:param series: the column to test
:type series: pandas series
:param upper: numeric upper bound
:type upper: float or int
"""
self.td = "Less than value (<=)"
col_setUp.__init__(self, series)
upper_bound.__init__(self, upper)
test_fail.__init__(self, tm="Values outside of upper bound")
self._test()
def __init__(self, series, expc_type):
"""
Initiates test type class. Classes tests if the column meets the expected type condition.
:param series: the column to test
:type series: pandas series
:param expc_type: the expected type of the column
:type expc_type: string
"""
col_setUp.__init__(self, series)
self.td = "Test column type"
self.expc_type = self.get_type(expc_type)
test_fail.__init__(self, tm=self._test_message())
self._test()
def __init__(self, series, expc_values):
"""
Initiates the test class to test the values of a column
:param series: the column to test
:type series: pandas series
:param expc_values: the expected values
:type expc_values: list
"""
self.td = "Expected Values"
self.expc_values = expc_values
col_setUp.__init__(self, series)
self.add_values = set(self.uni_values) - set(self.expc_values)
test_fail.__init__(self, tm=self._test_message())
self._test()
def __init__(self, df, expc_cols):
"""
Initiates the test class for the expected cols function
:param df: the dataframe to test
:type df: a pandas dataframe
:param expc_cols: the names of the expected columns
:type expc_cols: list
"""
self.td = "Expected cols"
self.expc_cols = pd.Series(expc_cols)
df_setUp.__init__(self, df)
self.missing_cols = self.expc_cols[(
self.expc_cols.isin(self.df.columns)) == False]
test_fail.__init__(self, tm=self._test_message())
self._test()
