Run kernel in the directory of the notebook

IPython/nbconvert/preprocessors/execute.py

@@ -29,12 +29,15 b' class ExecutePreprocessor(Preprocessor):'
     extra_arguments = List(Unicode)
 
     def preprocess(self, nb, resources):
+        path = resources.get('metadata', {}).get('path', None)
+
         from IPython.kernel import run_kernel
         kernel_name = nb.metadata.get('kernelspec', {}).get('name', 'python')
         self.log.info("Executing notebook with kernel: %s" % kernel_name)
         with run_kernel(kernel_name=kernel_name,
                         extra_arguments=self.extra_arguments,
-                        stderr=open(os.devnull, 'w')) as kc:
+                        stderr=open(os.devnull, 'w'),
+                        cwd=path) as kc:
             self.kc = kc
             self.kc.allow_stdin = False
             nb, resources = super(ExecutePreprocessor, self).preprocess(nb, resources)

IPython/nbconvert/preprocessors/tests/test_execute.py

@@ -79,9 +79,10 b' class TestExecute(PreprocessorTestsBase):'
         current_dir = os.path.dirname(__file__)
         input_files = glob.glob(os.path.join(current_dir, 'files', '*.ipynb'))
         for filename in input_files:
-            with io.open(os.path.join(current_dir, 'files', filename)) as f:
+            with io.open(filename) as f:
                 input_nb = nbformat.read(f, 4)
             res = self.build_resources()
+            res['metadata']['path'] = os.path.dirname(filename)
             preprocessor = self.build_preprocessor()
             cleaned_input_nb = copy.deepcopy(input_nb)
             for cell in cleaned_input_nb.cells: