![[Jenkins]](/ci/static/5d841056/images/svgs/logo.svg){kind=logo}
Failed
notebooks.IntroducingLda_DKProWrapper.ipynb./mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda_DKProWrapper.ipynb (from pytest)
Error Message
nbconvert.preprocessors.execute.CellExecutionError: An error occurred while executing the following cell: ------------------ meta = pd.concat([metadata.fname2metadata(str(path), pattern=pattern) for path in path_to_corpus.glob('*.csv')]) meta[:5] # by adding '[:5]' to the variable, only the first 5 elements will be printed ------------------ #x1B[0;31m---------------------------------------------------------------------------#x1B[0m #x1B[0;31mValueError#x1B[0m Traceback (most recent call last) #x1B[0;32m<ipython-input-7-30c5c181683a>#x1B[0m in #x1B[0;36m<module>#x1B[0;34m#x1B[0m #x1B[0;32m----> 1#x1B[0;31m #x1B[0mmeta#x1B[0m #x1B[0;34m=#x1B[0m #x1B[0mpd#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mconcat#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m[#x1B[0m#x1B[0mmetadata#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mfname2metadata#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mstr#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mpath#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0mpattern#x1B[0m#x1B[0;34m=#x1B[0m#x1B[0mpattern#x1B[0m#x1B[0;34m)#x1B[0m #x1B[0;32mfor#x1B[0m #x1B[0mpath#x1B[0m #x1B[0;32min#x1B[0m #x1B[0mpath_to_corpus#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mglob#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m'*.csv'#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m]#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0m#x1B[1;32m 2#x1B[0m #x1B[0mmeta#x1B[0m#x1B[0;34m[#x1B[0m#x1B[0;34m:#x1B[0m#x1B[0;36m5#x1B[0m#x1B[0;34m]#x1B[0m #x1B[0;31m# by adding '[:5]' to the variable, only the first 5 elements will be printed#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0;32m~/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pandas/core/reshape/concat.py#x1B[0m in #x1B[0;36mconcat#x1B[0;34m(objs, axis, join, join_axes, ignore_index, keys, levels, names, verify_integrity, sort, copy)#x1B[0m #x1B[1;32m 223#x1B[0m #x1B[0mkeys#x1B[0m#x1B[0;34m=#x1B[0m#x1B[0mkeys#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0mlevels#x1B[0m#x1B[0;34m=#x1B[0m#x1B[0mlevels#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0mnames#x1B[0m#x1B[0;34m=#x1B[0m#x1B[0mnames#x1B[0m#x1B[0;34m,#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[1;32m 224#x1B[0m #x1B[0mverify_integrity#x1B[0m#x1B[0;34m=#x1B[0m#x1B[0mverify_integrity#x1B[0m#x1B[0;34m,#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0;32m--> 225#x1B[0;31m copy=copy, sort=sort) #x1B[0m#x1B[1;32m 226#x1B[0m #x1B[0;32mreturn#x1B[0m #x1B[0mop#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mget_result#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[1;32m 227#x1B[0m #x1B[0;34m#x1B[0m#x1B[0m #x1B[0;32m~/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pandas/core/reshape/concat.py#x1B[0m in #x1B[0;36m__init__#x1B[0;34m(self, objs, axis, join, join_axes, keys, levels, names, ignore_index, verify_integrity, copy, sort)#x1B[0m #x1B[1;32m 257#x1B[0m #x1B[0;34m#x1B[0m#x1B[0m #x1B[1;32m 258#x1B[0m #x1B[0;32mif#x1B[0m #x1B[0mlen#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mobjs#x1B[0m#x1B[0;34m)#x1B[0m #x1B[0;34m==#x1B[0m #x1B[0;36m0#x1B[0m#x1B[0;34m:#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0;32m--> 259#x1B[0;31m #x1B[0;32mraise#x1B[0m #x1B[0mValueError#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m'No objects to concatenate'#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0m#x1B[1;32m 260#x1B[0m #x1B[0;34m#x1B[0m#x1B[0m #x1B[1;32m 261#x1B[0m #x1B[0;32mif#x1B[0m #x1B[0mkeys#x1B[0m #x1B[0;32mis#x1B[0m #x1B[0;32mNone#x1B[0m#x1B[0;34m:#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m #x1B[0;31mValueError#x1B[0m: No objects to concatenate ValueError: No objects to concatenateStacktrace
self = <CallInfo when='call' exception: An error occurred while executing the following cell:
------------------
meta = pd.co...0m#x1B[0;34m:#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
#x1B[0;31mValueError#x1B[0m: No objects to concatenate
ValueError: No objects to concatenate
>
func = <function call_runtest_hook.<locals>.<lambda> at 0x7f6b5cdfd598>
when = 'call', treat_keyboard_interrupt_as_exception = False
def __init__(self, func, when, treat_keyboard_interrupt_as_exception=False):
#: context of invocation: one of "setup", "call",
#: "teardown", "memocollect"
self.when = when
self.start = time()
try:
> self.result = func()
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:211:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> lambda: ihook(item=item, **kwds),
when=when,
treat_keyboard_interrupt_as_exception=item.config.getvalue("usepdb"),
)
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:193:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <_HookCaller 'pytest_runtest_call'>, args = ()
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda_DKProWrapper.ipynb'>}
notincall = set()
def __call__(self, *args, **kwargs):
if args:
raise TypeError("hook calling supports only keyword arguments")
assert not self.is_historic()
if self.spec and self.spec.argnames:
notincall = (
set(self.spec.argnames) - set(["__multicall__"]) - set(kwargs.keys())
)
if notincall:
warnings.warn(
"Argument(s) {} which are declared in the hookspec "
"can not be found in this hook call".format(tuple(notincall)),
stacklevel=2,
)
> return self._hookexec(self, self.get_hookimpls(), kwargs)
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/hooks.py:284:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <_pytest.config.PytestPluginManager object at 0x7f6ba02453c8>
hook = <_HookCaller 'pytest_runtest_call'>
methods = [<HookImpl plugin_name='runner', plugin=<module '_pytest.runner' from '/mnt/data/jenkins/shiningpanda/jobs/62c67c92/vi...6b9afc6b70>>, <HookImpl plugin_name='logging-plugin', plugin=<_pytest.logging.LoggingPlugin object at 0x7f6b9af596d8>>]
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda_DKProWrapper.ipynb'>}
def _hookexec(self, hook, methods, kwargs):
# called from all hookcaller instances.
# enable_tracing will set its own wrapping function at self._inner_hookexec
> return self._inner_hookexec(hook, methods, kwargs)
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/manager.py:67:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
hook = <_HookCaller 'pytest_runtest_call'>
methods = [<HookImpl plugin_name='runner', plugin=<module '_pytest.runner' from '/mnt/data/jenkins/shiningpanda/jobs/62c67c92/vi...6b9afc6b70>>, <HookImpl plugin_name='logging-plugin', plugin=<_pytest.logging.LoggingPlugin object at 0x7f6b9af596d8>>]
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda_DKProWrapper.ipynb'>}
self._inner_hookexec = lambda hook, methods, kwargs: hook.multicall(
methods,
kwargs,
> firstresult=hook.spec.opts.get("firstresult") if hook.spec else False,
)
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/manager.py:61:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
hook_impls = [<HookImpl plugin_name='runner', plugin=<module '_pytest.runner' from '/mnt/data/jenkins/shiningpanda/jobs/62c67c92/vi...6b9afc6b70>>, <HookImpl plugin_name='logging-plugin', plugin=<_pytest.logging.LoggingPlugin object at 0x7f6b9af596d8>>]
caller_kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda_DKProWrapper.ipynb'>}
firstresult = False
def _multicall(hook_impls, caller_kwargs, firstresult=False):
"""Execute a call into multiple python functions/methods and return the
result(s).
``caller_kwargs`` comes from _HookCaller.__call__().
"""
__tracebackhide__ = True
results = []
excinfo = None
try: # run impl and wrapper setup functions in a loop
teardowns = []
try:
for hook_impl in reversed(hook_impls):
try:
args = [caller_kwargs[argname] for argname in hook_impl.argnames]
except KeyError:
for argname in hook_impl.argnames:
if argname not in caller_kwargs:
raise HookCallError(
"hook call must provide argument %r" % (argname,)
)
if hook_impl.hookwrapper:
try:
gen = hook_impl.function(*args)
next(gen) # first yield
teardowns.append(gen)
except StopIteration:
_raise_wrapfail(gen, "did not yield")
else:
res = hook_impl.function(*args)
if res is not None:
results.append(res)
if firstresult: # halt further impl calls
break
except BaseException:
excinfo = sys.exc_info()
finally:
if firstresult: # first result hooks return a single value
outcome = _Result(results[0] if results else None, excinfo)
else:
outcome = _Result(results, excinfo)
# run all wrapper post-yield blocks
for gen in reversed(teardowns):
try:
gen.send(outcome)
_raise_wrapfail(gen, "has second yield")
except StopIteration:
pass
> return outcome.get_result()
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:208:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <pluggy.callers._Result object at 0x7f6b9697ce10>
def get_result(self):
"""Get the result(s) for this hook call.
If the hook was marked as a ``firstresult`` only a single value
will be returned otherwise a list of results.
"""
__tracebackhide__ = True
if self._excinfo is None:
return self._result
else:
ex = self._excinfo
if _py3:
> raise ex[1].with_traceback(ex[2])
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:80:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
hook_impls = [<HookImpl plugin_name='runner', plugin=<module '_pytest.runner' from '/mnt/data/jenkins/shiningpanda/jobs/62c67c92/vi...6b9afc6b70>>, <HookImpl plugin_name='logging-plugin', plugin=<_pytest.logging.LoggingPlugin object at 0x7f6b9af596d8>>]
caller_kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda_DKProWrapper.ipynb'>}
firstresult = False
def _multicall(hook_impls, caller_kwargs, firstresult=False):
"""Execute a call into multiple python functions/methods and return the
result(s).
``caller_kwargs`` comes from _HookCaller.__call__().
"""
__tracebackhide__ = True
results = []
excinfo = None
try: # run impl and wrapper setup functions in a loop
teardowns = []
try:
for hook_impl in reversed(hook_impls):
try:
args = [caller_kwargs[argname] for argname in hook_impl.argnames]
except KeyError:
for argname in hook_impl.argnames:
if argname not in caller_kwargs:
raise HookCallError(
"hook call must provide argument %r" % (argname,)
)
if hook_impl.hookwrapper:
try:
gen = hook_impl.function(*args)
next(gen) # first yield
teardowns.append(gen)
except StopIteration:
_raise_wrapfail(gen, "did not yield")
else:
> res = hook_impl.function(*args)
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:187:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
item = <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda_DKProWrapper.ipynb'>
def pytest_runtest_call(item):
_update_current_test_var(item, "call")
sys.last_type, sys.last_value, sys.last_traceback = (None, None, None)
try:
> item.runtest()
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:121:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda_DKProWrapper.ipynb'>
def runtest(self):
self._skip()
with io.open(self.name,encoding='utf8') as nb:
notebook = nbformat.read(nb, as_version=4)
# TODO: which kernel? run in pytest's or use new one (make it option)
_timeout = self.parent.parent.config.getini('nbsmoke_cell_timeout')
kwargs = dict(timeout=int(_timeout) if _timeout!='' else 300,
allow_errors=False,
# or sys.version_info[1] ?
kernel_name='python')
ep = ExecutePreprocessor(**kwargs)
with cwd(os.path.dirname(self.name)): # jupyter notebook always does this, right?
> ep.preprocess(notebook,{})
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbsmoke/__init__.py:274:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7f6b5ce08c18>
nb = {'nbformat': 4, 'nbformat_minor': 1, 'metadata': {'kernelspec': {'language': 'python', 'display_name': 'Python 3', 'na...adata': {'collapsed': True}, 'source': 'static_heatmap = PlotDocumentTopics.static_heatmap()\nstatic_heatmap.show()'}]}
resources = {}, km = None
def preprocess(self, nb, resources, km=None):
"""
Preprocess notebook executing each code cell.
The input argument `nb` is modified in-place.
Parameters
----------
nb : NotebookNode
Notebook being executed.
resources : dictionary
Additional resources used in the conversion process. For example,
passing ``{'metadata': {'path': run_path}}`` sets the
execution path to ``run_path``.
km: KernelManager (optional)
Optional kernel manager. If none is provided, a kernel manager will
be created.
Returns
-------
nb : NotebookNode
The executed notebook.
resources : dictionary
Additional resources used in the conversion process.
"""
with self.setup_preprocessor(nb, resources, km=km):
self.log.info("Executing notebook with kernel: %s" % self.kernel_name)
> nb, resources = super(ExecutePreprocessor, self).preprocess(nb, resources)
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/execute.py:361:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7f6b5ce08c18>
nb = {'nbformat': 4, 'nbformat_minor': 1, 'metadata': {'kernelspec': {'language': 'python', 'display_name': 'Python 3', 'na...adata': {'collapsed': True}, 'source': 'static_heatmap = PlotDocumentTopics.static_heatmap()\nstatic_heatmap.show()'}]}
resources = {}
def preprocess(self, nb, resources):
"""
Preprocessing to apply on each notebook.
Must return modified nb, resources.
If you wish to apply your preprocessing to each cell, you might want
to override preprocess_cell method instead.
Parameters
----------
nb : NotebookNode
Notebook being converted
resources : dictionary
Additional resources used in the conversion process. Allows
preprocessors to pass variables into the Jinja engine.
"""
for index, cell in enumerate(nb.cells):
> nb.cells[index], resources = self.preprocess_cell(cell, resources, index)
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/base.py:69:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7f6b5ce08c18>
cell = {'outputs': [{'ename': 'ValueError', 'traceback': ['\x1b[0;31m--------------------------------------------------------...ath_to_corpus.glob('*.csv')])\nmeta[:5] # by adding '[:5]' to the variable, only the first 5 elements will be printed"}
resources = {}, cell_index = 19
def preprocess_cell(self, cell, resources, cell_index):
"""
Executes a single code cell. See base.py for details.
To execute all cells see :meth:`preprocess`.
"""
if cell.cell_type != 'code' or not cell.source.strip():
return cell, resources
reply, outputs = self.run_cell(cell, cell_index)
cell.outputs = outputs
cell_allows_errors = (self.allow_errors or "raises-exception"
in cell.metadata.get("tags", []))
if self.force_raise_errors or not cell_allows_errors:
for out in outputs:
if out.output_type == 'error':
> raise CellExecutionError.from_cell_and_msg(cell, out)
E nbconvert.preprocessors.execute.CellExecutionError: An error occurred while executing the following cell:
E ------------------
E meta = pd.concat([metadata.fname2metadata(str(path), pattern=pattern) for path in path_to_corpus.glob('*.csv')])
E meta[:5] # by adding '[:5]' to the variable, only the first 5 elements will be printed
E ------------------
E
E #x1B[0;31m---------------------------------------------------------------------------#x1B[0m
E #x1B[0;31mValueError#x1B[0m Traceback (most recent call last)
E #x1B[0;32m<ipython-input-7-30c5c181683a>#x1B[0m in #x1B[0;36m<module>#x1B[0;34m#x1B[0m
E #x1B[0;32m----> 1#x1B[0;31m #x1B[0mmeta#x1B[0m #x1B[0;34m=#x1B[0m #x1B[0mpd#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mconcat#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m[#x1B[0m#x1B[0mmetadata#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mfname2metadata#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mstr#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mpath#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0mpattern#x1B[0m#x1B[0;34m=#x1B[0m#x1B[0mpattern#x1B[0m#x1B[0;34m)#x1B[0m #x1B[0;32mfor#x1B[0m #x1B[0mpath#x1B[0m #x1B[0;32min#x1B[0m #x1B[0mpath_to_corpus#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mglob#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m'*.csv'#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m]#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[0m#x1B[1;32m 2#x1B[0m #x1B[0mmeta#x1B[0m#x1B[0;34m[#x1B[0m#x1B[0;34m:#x1B[0m#x1B[0;36m5#x1B[0m#x1B[0;34m]#x1B[0m #x1B[0;31m# by adding '[:5]' to the variable, only the first 5 elements will be printed#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E
E #x1B[0;32m~/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pandas/core/reshape/concat.py#x1B[0m in #x1B[0;36mconcat#x1B[0;34m(objs, axis, join, join_axes, ignore_index, keys, levels, names, verify_integrity, sort, copy)#x1B[0m
E #x1B[1;32m 223#x1B[0m #x1B[0mkeys#x1B[0m#x1B[0;34m=#x1B[0m#x1B[0mkeys#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0mlevels#x1B[0m#x1B[0;34m=#x1B[0m#x1B[0mlevels#x1B[0m#x1B[0;34m,#x1B[0m #x1B[0mnames#x1B[0m#x1B[0;34m=#x1B[0m#x1B[0mnames#x1B[0m#x1B[0;34m,#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[1;32m 224#x1B[0m #x1B[0mverify_integrity#x1B[0m#x1B[0;34m=#x1B[0m#x1B[0mverify_integrity#x1B[0m#x1B[0;34m,#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[0;32m--> 225#x1B[0;31m copy=copy, sort=sort)
E #x1B[0m#x1B[1;32m 226#x1B[0m #x1B[0;32mreturn#x1B[0m #x1B[0mop#x1B[0m#x1B[0;34m.#x1B[0m#x1B[0mget_result#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[1;32m 227#x1B[0m #x1B[0;34m#x1B[0m#x1B[0m
E
E #x1B[0;32m~/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pandas/core/reshape/concat.py#x1B[0m in #x1B[0;36m__init__#x1B[0;34m(self, objs, axis, join, join_axes, keys, levels, names, ignore_index, verify_integrity, copy, sort)#x1B[0m
E #x1B[1;32m 257#x1B[0m #x1B[0;34m#x1B[0m#x1B[0m
E #x1B[1;32m 258#x1B[0m #x1B[0;32mif#x1B[0m #x1B[0mlen#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0mobjs#x1B[0m#x1B[0;34m)#x1B[0m #x1B[0;34m==#x1B[0m #x1B[0;36m0#x1B[0m#x1B[0;34m:#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[0;32m--> 259#x1B[0;31m #x1B[0;32mraise#x1B[0m #x1B[0mValueError#x1B[0m#x1B[0;34m(#x1B[0m#x1B[0;34m'No objects to concatenate'#x1B[0m#x1B[0;34m)#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E #x1B[0m#x1B[1;32m 260#x1B[0m #x1B[0;34m#x1B[0m#x1B[0m
E #x1B[1;32m 261#x1B[0m #x1B[0;32mif#x1B[0m #x1B[0mkeys#x1B[0m #x1B[0;32mis#x1B[0m #x1B[0;32mNone#x1B[0m#x1B[0;34m:#x1B[0m#x1B[0;34m#x1B[0m#x1B[0m
E
E #x1B[0;31mValueError#x1B[0m: No objects to concatenate
E ValueError: No objects to concatenate
../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/execute.py:385: CellExecutionError