本文整理汇总了Python中vis.workflow.WorkflowManager._result方法的典型用法代码示例。如果您正苦于以下问题:Python WorkflowManager._result方法的具体用法?Python WorkflowManager._result怎么用?Python WorkflowManager._result使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类vis.workflow.WorkflowManager
的用法示例。
在下文中一共展示了WorkflowManager._result方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_table_1
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_table_1(self, mock_fdf):
'''
_make_table():
- "count frequency" is True
- file extension on "pathname" with period
'''
test_wm = WorkflowManager([])
test_wm.settings(None, 'count frequency', True) # just to be 100% clear
mock_fdf.return_value = mock.MagicMock(spec_set=pandas.DataFrame)
test_wm._result = mock_fdf.return_value # to avoid a RuntimeError
test_wm._previous_exp = 'intervals' # to get the proper "exp_name"
top_x = None
threshold = None
exp_name = 'Interval Frequency'
pathname = 'test_path'
test_wm._make_table('CSV', pathname + '.csv', top_x, threshold) # pylint: disable=protected-access
test_wm._make_table('Excel', pathname + '.xlsx', top_x, threshold) # pylint: disable=protected-access
test_wm._make_table('Stata', pathname + '.dta', top_x, threshold) # pylint: disable=protected-access
test_wm._make_table('HTML', pathname + '.html', top_x, threshold) # pylint: disable=protected-access
mock_fdf.return_value.to_csv.assert_called_once_with('test_path.csv')
mock_fdf.return_value.to_stata.assert_called_once_with('test_path.dta')
mock_fdf.return_value.to_excel.assert_called_once_with('test_path.xlsx')
mock_fdf.return_value.to_html.assert_called_once_with('test_path.html')
self.assertSequenceEqual([mock.call(top_x=top_x, threshold=threshold, name=exp_name) for _ in range(4)],
mock_fdf.call_args_list)
示例2: test_table_3
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_table_3(self):
'''
_make_table():
- "count frequency" is False
- file extension not on "pathname"
- there are several IndexedPiece objects
'''
test_wm = WorkflowManager([])
test_wm.settings(None, 'count frequency', False)
test_wm._result = [mock.MagicMock(spec_set=pandas.DataFrame) for _ in range(5)]
test_wm._data = ['boop' for _ in range(len(test_wm._result))]
top_x = None
threshold = None
pathname = 'test_path'
test_wm._make_table('CSV', pathname, top_x, threshold) # pylint: disable=protected-access
test_wm._make_table('Excel', pathname, top_x, threshold) # pylint: disable=protected-access
test_wm._make_table('Stata', pathname, top_x, threshold) # pylint: disable=protected-access
test_wm._make_table('HTML', pathname, top_x, threshold) # pylint: disable=protected-access
for i in range(len(test_wm._result)):
test_wm._result[i].to_csv.assert_called_once_with('{}-{}{}'.format(pathname, i, '.csv'))
test_wm._result[i].to_excel.assert_called_once_with('{}-{}{}'.format(pathname, i, '.xlsx'))
test_wm._result[i].to_stata.assert_called_once_with('{}-{}{}'.format(pathname, i, '.dta'))
test_wm._result[i].to_html.assert_called_once_with('{}-{}{}'.format(pathname, i, '.html'))
示例3: test_lilypond_2
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_lilypond_2(self):
"""one piece with one part; specified pathname; and there's a NaN in the Series!"""
mock_ips = [MagicMock(spec_set=IndexedPiece)]
mock_ips[0].get_data.return_value = ['ready for LilyPond']
result = [pandas.DataFrame({('analyzer', 'clarinet'): pandas.Series(range(10))})]
result[0][('analyzer', 'clarinet')].iloc[0] = NaN
exp_series = pandas.Series(range(1, 10), index=range(1, 10)) # to test dropna() was run
pathname = 'this_path'
expected = ['this_path.ly']
exp_get_data_calls = [mock.call([lilypond_ind.AnnotationIndexer,
lilypond_exp.AnnotateTheNoteExperimenter,
lilypond_exp.PartNotesExperimenter],
{'part_names': ['analyzer: clarinet'],
'column': 'lilypond.AnnotationIndexer'},
[mock.ANY]),
mock.call([lilypond_exp.LilyPondExperimenter],
{'run_lilypond': True,
'annotation_part': ['ready for LilyPond'],
'output_pathname': expected[0]})]
test_wm = WorkflowManager(mock_ips)
test_wm._result = result
test_wm.settings(None, 'count frequency', False)
test_wm._make_lilypond(pathname)
self.assertEqual(2, mock_ips[0].get_data.call_count)
self.assertSequenceEqual(exp_get_data_calls, mock_ips[0].get_data.call_args_list)
# check that dropna() was run
actual_series = mock_ips[0].get_data.call_args_list[0][0][2][0]
self.assertSequenceEqual(list(exp_series.index), list(actual_series.index))
self.assertSequenceEqual(list(exp_series.values), list(actual_series.values))
示例4: test_lilypond_1b
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_lilypond_1b(self):
"""error conditions: if the lengths are different, (but 'count frequency' is okay)"""
test_wm = WorkflowManager(['fake piece'])
test_wm._data = ['fake IndexedPiece']
test_wm._result = ['fake results', 'more fake results', 'so many fake results']
test_wm.settings(None, 'count frequency', False)
with self.assertRaises(RuntimeError) as run_err:
test_wm._make_lilypond(['paths'])
self.assertEqual(WorkflowManager._COUNT_FREQUENCY_MESSAGE, run_err.exception.args[0])
示例5: test_output_4
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_output_4(self):
"""ensure RuntimeError if self._result is None"""
test_wc = WorkflowManager([])
test_wc._result = None # just in case
self.assertRaises(RuntimeError, test_wc.output, 'R histogram')
try:
test_wc.output('R histogram')
except RuntimeError as run_err:
self.assertEqual(WorkflowManager._NO_RESULTS_ERROR, run_err.args[0])
示例6: test_get_dataframe_4
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_get_dataframe_4(self):
# test with name=auto, top_x=5, threshold=7 (so threshold leaves fewer than 3 results)
test_wc = WorkflowManager([])
test_wc._result = pandas.Series([i for i in xrange(10, 0, -1)])
expected = pandas.DataFrame({'data': pandas.Series([10, 9, 8])})
actual = test_wc._get_dataframe(top_x=5, threshold=7)
self.assertEqual(len(expected.columns), len(actual.columns))
for i in expected.columns:
self.assertSequenceEqual(list(expected.loc[:,i].index), list(actual.loc[:,i].index))
self.assertSequenceEqual(list(expected.loc[:,i].values), list(actual.loc[:,i].values))
示例7: test_lilypond_1a
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_lilypond_1a(self):
"""error conditions: if 'count frequency' is True (but the lengths are okay)"""
test_wm = WorkflowManager(['fake piece'])
test_wm._data = ['fake IndexedPiece']
test_wm._result = ['fake results']
# test twice like this to make sure (1) the try/except will definitely catch something, and
# (2) we're not getting hit by another RuntimeError, of which there could be many
with self.assertRaises(RuntimeError) as run_err:
test_wm._make_lilypond(['paths'])
self.assertEqual(WorkflowManager._COUNT_FREQUENCY_MESSAGE, run_err.exception.args[0])
示例8: test_filter_dataframe_3
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_filter_dataframe_3(self):
"""test with top_x=3, threshold=5 (so the top_x still removes after threshold), name=auto"""
test_wc = WorkflowManager([])
test_wc._result = pandas.DataFrame({'data': pandas.Series([i for i in range(10, 0, -1)])})
expected = pandas.DataFrame({'data': pandas.Series([10, 9, 8])})
actual = test_wc._filter_dataframe(top_x=3, threshold=5)
self.assertEqual(len(expected.columns), len(actual.columns))
for i in expected.columns:
self.assertSequenceEqual(list(expected[i].index), list(actual[i].index))
self.assertSequenceEqual(list(expected[i].values), list(actual[i].values))
示例9: test_get_dataframe_2
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_get_dataframe_2(self):
# test with name='asdf', top_x=3, threshold=auto
test_wc = WorkflowManager([])
test_wc._result = pandas.Series([i for i in xrange(10, 0, -1)])
expected = pandas.DataFrame({'asdf': pandas.Series([10, 9, 8])})
actual = test_wc._get_dataframe('asdf', 3)
self.assertEqual(len(expected.columns), len(actual.columns))
for i in expected.columns:
self.assertSequenceEqual(list(expected.loc[:,i].index), list(actual.loc[:,i].index))
self.assertSequenceEqual(list(expected.loc[:,i].values), list(actual.loc[:,i].values))
示例10: test_output_3
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_output_3(self):
"""ensure RuntimeError if there's an invalid instruction"""
test_wc = WorkflowManager([])
test_wc._result = [5] # make sure that's not what causes it
bad_instruction = 'eat dirt'
self.assertRaises(RuntimeError, test_wc.output, bad_instruction)
try:
test_wc.output(bad_instruction)
except RuntimeError as run_err:
self.assertEqual(WorkflowManager._UNRECOGNIZED_INSTRUCTION.format(bad_instruction),
run_err.args[0])
示例11: test_lilypond_1b
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_lilypond_1b(self):
# error conditions: if the lengths are different, (but 'count frequency' is okay)
test_wm = WorkflowManager(['fake piece'])
test_wm._data = ['fake IndexedPiece']
test_wm._result = ['fake results', 'more fake results', 'so many fake results']
test_wm.settings(None, 'count frequency', False)
self.assertRaises(RuntimeError, test_wm._make_lilypond, ['paths'])
try:
test_wm._make_lilypond(['paths'])
except RuntimeError as the_err:
self.assertEqual(WorkflowManager._COUNT_FREQUENCY_MESSAGE, the_err.message)
示例12: test_filter_dataframe_5
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_filter_dataframe_5(self):
"""test with top_x=3, threshold=auto, name='asdf'; many input columns"""
test_wc = WorkflowManager([])
test_wc._result = pandas.DataFrame({('1', 'b'): pandas.Series([i for i in range(10, 0, -1)]),
('1', 'z'): pandas.Series([i for i in range(10, 20)]),
('2', 'e'): pandas.Series([i for i in range(40, 900)])})
expected = pandas.DataFrame({'asdf': pandas.Series([10, 9, 8])})
actual = test_wc._filter_dataframe(top_x=3, name='asdf')
self.assertEqual(len(expected.columns), len(actual.columns))
for i in expected.columns:
self.assertSequenceEqual(list(expected[i].index), list(actual[i].index))
self.assertSequenceEqual(list(expected[i].values), list(actual[i].values))
示例13: test_export_3
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_export_3(self, mock_gdf):
# --> the method works as expected for CSV, Excel, and Stata when _result is a DataFrame
test_wm = WorkflowManager([])
test_wm._result = mock.MagicMock(spec=pandas.DataFrame)
test_wm.export(u'CSV', u'test_path')
test_wm.export(u'Excel', u'test_path')
test_wm.export(u'Stata', u'test_path')
test_wm.export(u'HTML', u'test_path')
test_wm._result.to_csv.assert_called_once_with(u'test_path.csv')
test_wm._result.to_stata.assert_called_once_with(u'test_path.dta')
test_wm._result.to_excel.assert_called_once_with(u'test_path.xlsx')
test_wm._result.to_html.assert_called_once_with(u'test_path.html')
self.assertEqual(0, mock_gdf.call_count)
示例14: test_export_4
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_export_4(self, mock_gdf):
# --> test_export_3() with a valid extension already on
test_wm = WorkflowManager([])
test_wm._result = mock.MagicMock(spec=pandas.DataFrame)
test_wm.export(u'CSV', u'test_path.csv')
test_wm.export(u'Excel', u'test_path.xlsx')
test_wm.export(u'Stata', u'test_path.dta')
test_wm.export(u'HTML', u'test_path.html')
test_wm._result.to_csv.assert_called_once_with(u'test_path.csv')
test_wm._result.to_stata.assert_called_once_with(u'test_path.dta')
test_wm._result.to_excel.assert_called_once_with(u'test_path.xlsx')
test_wm._result.to_html.assert_called_once_with(u'test_path.html')
self.assertEqual(0, mock_gdf.call_count)
示例15: test_histogram_1
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import _result [as 别名]
def test_histogram_1(self, mock_call, mock_gdf, mock_join):
# with specified pathname; last experiment was intervals with 20 pieces; self._result is DF
test_wc = WorkflowManager([])
test_wc._previous_exp = u'intervals'
test_wc._data = [1 for _ in xrange(20)]
test_wc._result = MagicMock(spec=pandas.DataFrame)
path = u'pathname!'
actual = test_wc._make_histogram(path)
self.assertEqual(0, mock_gdf.call_count)
expected_args = [u'Rscript', u'--vanilla', mock_join.return_value,
path + u'.dta', path + u'.png', u'int', u'20']
mock_call.assert_called_once_with(expected_args)
self.assertEqual(path + u'.png', actual)
self.assertEqual(1, mock_join.call_count)