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Fix tests
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argenisleon committed Dec 6, 2019
1 parent b9d7c9d commit 2dbf018
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Showing 2 changed files with 11 additions and 21 deletions.
16 changes: 10 additions & 6 deletions tests/test_df_outliers.py
Original file line number Diff line number Diff line change
Expand Up @@ -27,13 +27,13 @@ def test_outliers_mad_drop():
def test_outliers_mad_info():
actual_df =source_df.outliers.mad('height(ft)',0.5,10000).info()
actual_df =json_enconding(actual_df)
expected_value =json_enconding({'count_outliers': 3, 'count_non_outliers': 5, 'lower_bound': 12.5, 'lower_bound_count': 1, 'upper_bound': 21.5, 'upper_bound_count': 2})
expected_value =json_enconding({'count_outliers': 3, 'count_non_outliers': 2, 'lower_bound': 12.5, 'lower_bound_count': 1, 'upper_bound': 21.5, 'upper_bound_count': 2})
assert(expected_value == actual_df)
@staticmethod
def test_outliers_mad_non_outliers_count():
actual_df =source_df.outliers.mad('height(ft)',0.5,10000).non_outliers_count()
actual_df =json_enconding(actual_df)
expected_value =json_enconding(5)
expected_value =json_enconding(2)
assert(expected_value == actual_df)
@staticmethod
def test_outliers_mad_select():
Expand Down Expand Up @@ -72,20 +72,24 @@ def test_outliers_modified_z_score_select():
def test_outliers_tukey_count():
actual_df =source_df.outliers.tukey('height(ft)').count()
actual_df =json_enconding(actual_df)
expected_value =json_enconding(5)
expected_value =json_enconding(2)
assert(expected_value == actual_df)

@staticmethod
def test_outliers_tukey_drop():
actual_df =source_df.outliers.tukey('height(ft)').drop()
expected_df = op.create.df([('names', StringType(), True),('height(ft)', ShortType(), True),('function', StringType(), True),('rank', ByteType(), True),('age', IntegerType(), True),('weight(t)', FloatType(), True),('japanese name', ArrayType(StringType(),True), True),('last position seen', StringType(), True),('date arrival', StringType(), True),('last date seen', StringType(), True),('attributes', ArrayType(FloatType(),True), True),('Date Type', DateType(), True),('timestamp', TimestampType(), True),('Cybertronian', BooleanType(), True),('function(binary)', BinaryType(), True),('NullType', NullType(), True)], [])
assert (expected_df.collect() == actual_df.collect())
@staticmethod
def test_outliers_tukey_info():
actual_df =source_df.outliers.tukey('height(ft)').info()
actual_df =json_enconding(actual_df)
expected_value =json_enconding({'count_outliers': 5, 'count_non_outliers': 2, 'lower_bound': 45.5, 'lower_bound_count': 4, 'upper_bound': -6.5, 'upper_bound_count': 4, 'q1': 13, 'median': 17, 'q3': 26, 'iqr': 13})
expected_value =json_enconding({'count_outliers': 2, 'count_non_outliers': 3, 'lower_bound': -6.5, 'lower_bound_count': 1, 'upper_bound': 45.5, 'upper_bound_count': 1, 'q1': 13, 'median': 17, 'q3': 26, 'iqr': 13})
assert(expected_value == actual_df)
@staticmethod
def test_outliers_tukey_non_outliers_count():
actual_df =source_df.outliers.tukey('height(ft)').non_outliers_count()
actual_df =json_enconding(actual_df)
expected_value =json_enconding(2)
expected_value =json_enconding(3)
assert(expected_value == actual_df)
@staticmethod
def test_outliers_tukey_select():
Expand Down
16 changes: 1 addition & 15 deletions tests/test_df_rows.py
Original file line number Diff line number Diff line change
Expand Up @@ -33,16 +33,7 @@ def test_rows_between_invert_equal():
actual_df =source_df.rows.between('second',6,8,invert=True,equal=True)
expected_df = op.create.df([('words', StringType(), True),('num', IntegerType(), True),('animals', StringType(), True),('thing', StringType(), True),('second', IntegerType(), True),('filter', StringType(), True)], [(' I like fish ', 1, 'dog dog', 'housé', 5, 'a'), (' zombies', 2, 'cat', 'tv', 6, 'b'), (None, 3, 'eagle', 'glass', 8, 'c')])
assert (expected_df.collect() == actual_df.collect())
@staticmethod
def test_rows_drop():
actual_df =source_df.rows.drop(fil)
expected_df = op.create.df([('words', StringType(), True),('num', IntegerType(), True),('animals', StringType(), True),('thing', StringType(), True),('second', IntegerType(), True),('filter', StringType(), True)], [(None, 3, 'eagle', 'glass', 8, 'c')])
assert (expected_df.collect() == actual_df.collect())
@staticmethod
def test_rows_drop_audf():
actual_df =source_df.rows.drop(a)
expected_df = op.create.df([('words', StringType(), True),('num', IntegerType(), True),('animals', StringType(), True),('thing', StringType(), True),('second', IntegerType(), True),('filter', StringType(), True)], [(' I like fish ', 1, 'dog dog', 'housé', 5, 'a')])
assert (expected_df.collect() == actual_df.collect())

@staticmethod
def test_rows_drop_by_dtypes():
actual_df =source_df.rows.drop_by_dtypes('filter','integer')
Expand All @@ -54,11 +45,6 @@ def test_rows_is_in():
expected_df = op.create.df([('words', StringType(), True),('num', IntegerType(), True),('animals', StringType(), True),('thing', StringType(), True),('second', IntegerType(), True),('filter', StringType(), True)], [(' zombies', 2, 'cat', 'tv', 6, 'b'), ('simpsons cat lady', 2, 'frog', 'table', 7, '1')])
assert (expected_df.collect() == actual_df.collect())
@staticmethod
def test_rows_select():
actual_df =source_df.rows.select(fil)
expected_df = op.create.df([('words', StringType(), True),('num', IntegerType(), True),('animals', StringType(), True),('thing', StringType(), True),('second', IntegerType(), True),('filter', StringType(), True)], [(' I like fish ', 1, 'dog dog', 'housé', 5, 'a')])
assert (expected_df.collect() == actual_df.collect())
@staticmethod
def test_rows_select_by_dtypes():
actual_df =source_df.rows.select_by_dtypes('filter','integer')
expected_df = op.create.df([('words', StringType(), True),('num', IntegerType(), True),('animals', StringType(), True),('thing', StringType(), True),('second', IntegerType(), True),('filter', StringType(), True)], [('simpsons cat lady', 2, 'frog', 'table', 7, '1')])
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