I have Ubuntu 16.04 server environment and was trying to install CNTK on it. While I was trying to install pip install in an environment section I get the following error.
I succesfully ran below 2 steps:
$ conda create --name cntk-py34 python=3.4 numpy scipy h5py jupyter
$ activate cntk-py35
But when I try to install the cntk whl file I get an error:
$ pip install https://cntk.ai/PythonWheel/CPU-Only/cntk-2.0.beta15.0-cp35-cp35m-linux_x86_64.whl
========error==================
Exception:
Traceback (most recent call last):
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/basecommand.py", line 215, in main
status = self.run(options, args)
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/commands/install.py", line 335, in run
wb.build(autobuilding=True)
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/wheel.py", line 749, in build
self.requirement_set.prepare_files(self.finder)
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/req/req_set.py", line 380, in prepare_files
ignore_dependencies=self.ignore_dependencies))
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/req/req_set.py", line 620, in _prepare_file
session=self.session, hashes=hashes)
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/download.py", line 821, in unpack_url
hashes=hashes
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/download.py", line 659, in unpack_http_url
hashes)
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/download.py", line 853, in _download_http_url
stream=True,
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/_vendor/requests/sessions.py", line 488, in get
return self.request('GET', url, **kwargs)
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/download.py", line 386, in request
return super(PipSession, self).request(method, url, *args, **kwargs)
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/_vendor/requests/sessions.py", line 475, in request
resp = self.send(prep, **send_kwargs)
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/_vendor/requests/sessions.py", line 596, in send
r = adapter.send(request, **kwargs)
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/_vendor/cachecontrol/adapter.py", line 37, in send
cached_response = self.controller.cached_request(request)
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/_vendor/cachecontrol/controller.py", line 111, in cached_request
resp = self.serializer.loads(request, cache_data)
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/_vendor/cachecontrol/serialize.py", line 114, in loads
return getattr(self, "_loads_v{0}".format(ver))(request, data)
File "/home/ubuntu/.conda/envs/cntk-py35/lib/python3.5/site-packages/pip/_vendor/cachecontrol/serialize.py", line 176, in _loads_v2
cached = json.loads(zlib.decompress(data).decode("utf8"))
MemoryError
Any ideas???
Thanks in advance!
In your question, you mention two different Python versions (3.4 and 3.5). Also, the Anaconda Environment activation needs to be sourced. Assuming you already satisfied the OpenMPI dependency (cf. https://github.com/Microsoft/CNTK/wiki/Setup-Linux-Python), can you try one of these:
# For a Python 3.4 based setup
conda create --name cntk-py34 python=3.4 numpy scipy h5py jupyter
source activate cntk-py34
pip install https://cntk.ai/PythonWheel/CPU-Only/cntk-2.0rc1-cp34-cp34m-linux_x86_64.whl
# For a Python 3.5 based setup
conda create --name cntk-py35 python=3.5 numpy scipy h5py jupyter
source activate cntk-py35
pip install https://cntk.ai/PythonWheel/CPU-Only/cntk-2.0rc1-cp35-cp35m-linux_x86_64.whl
Related
After successfully installing and testing PETSc I went ahead and tried to install petsc4py with:
$ sudo python3 -m pip install petsc4py
but got loads of errors. Here are the messages:
Collecting petsc4py
Using cached petsc4py-3.16.1.tar.gz (2.3 MB)
ERROR: Command errored out with exit status 1:
command: /usr/bin/python3 -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-yg5szcfl/petsc4py/setup.py'"'"'; __file__='"'"'/tmp/pip-install-yg5szcfl/petsc4py/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-install-yg5szcfl/petsc4py/pip-egg-info
cwd: /tmp/pip-install-yg5szcfl/petsc4py/
Complete output (54 lines):
running egg_info
creating /tmp/pip-install-yg5szcfl/petsc4py/pip-egg-info/petsc4py.egg-info
writing /tmp/pip-install-yg5szcfl/petsc4py/pip-egg-info/petsc4py.egg-info/PKG-INFO
writing dependency_links to /tmp/pip-install-yg5szcfl/petsc4py/pip-egg-info/petsc4py.egg-info/dependency_links.txt
writing requirements to /tmp/pip-install-yg5szcfl/petsc4py/pip-egg-info/petsc4py.egg-info/requires.txt
writing top-level names to /tmp/pip-install-yg5szcfl/petsc4py/pip-egg-info/petsc4py.egg-info/top_level.txt
writing manifest file '/tmp/pip-install-yg5szcfl/petsc4py/pip-egg-info/petsc4py.egg-info/SOURCES.txt'
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/tmp/pip-install-yg5szcfl/petsc4py/setup.py", line 289, in <module>
main()
File "/tmp/pip-install-yg5szcfl/petsc4py/setup.py", line 286, in main
run_setup()
File "/tmp/pip-install-yg5szcfl/petsc4py/setup.py", line 135, in run_setup
setup(packages = ['petsc4py',
File "/usr/local/lib/python3.8/dist-packages/setuptools/__init__.py", line 155, in setup
return distutils.core.setup(**attrs)
File "/usr/local/lib/python3.8/dist-packages/setuptools/_distutils/core.py", line 148, in setup
return run_commands(dist)
File "/usr/local/lib/python3.8/dist-packages/setuptools/_distutils/core.py", line 163, in run_commands
dist.run_commands()
File "/usr/local/lib/python3.8/dist-packages/setuptools/_distutils/dist.py", line 967, in run_commands
self.run_command(cmd)
File "/usr/local/lib/python3.8/dist-packages/setuptools/_distutils/dist.py", line 986, in run_command
cmd_obj.run()
File "/usr/local/lib/python3.8/dist-packages/setuptools/command/egg_info.py", line 298, in run
self.find_sources()
File "/usr/local/lib/python3.8/dist-packages/setuptools/command/egg_info.py", line 305, in find_sources
mm.run()
File "/usr/local/lib/python3.8/dist-packages/setuptools/command/egg_info.py", line 540, in run
self.add_defaults()
File "/usr/local/lib/python3.8/dist-packages/setuptools/command/egg_info.py", line 577, in add_defaults
sdist.add_defaults(self)
File "/usr/local/lib/python3.8/dist-packages/setuptools/_distutils/command/sdist.py", line 226, in add_defaults
self._add_defaults_python()
File "/usr/local/lib/python3.8/dist-packages/setuptools/command/sdist.py", line 111, in _add_defaults_python
build_py = self.get_finalized_command('build_py')
File "/usr/local/lib/python3.8/dist-packages/setuptools/_distutils/cmd.py", line 299, in get_finalized_command
cmd_obj.ensure_finalized()
File "/usr/local/lib/python3.8/dist-packages/setuptools/_distutils/cmd.py", line 107, in ensure_finalized
self.finalize_options()
File "/usr/local/lib/python3.8/dist-packages/setuptools/command/build_py.py", line 29, in finalize_options
orig.build_py.finalize_options(self)
File "/usr/local/lib/python3.8/dist-packages/setuptools/_distutils/command/build_py.py", line 43, in finalize_options
self.set_undefined_options('build',
File "/usr/local/lib/python3.8/dist-packages/setuptools/_distutils/cmd.py", line 287, in set_undefined_options
src_cmd_obj.ensure_finalized()
File "/usr/local/lib/python3.8/dist-packages/setuptools/_distutils/cmd.py", line 107, in ensure_finalized
self.finalize_options()
File "/tmp/pip-install-yg5szcfl/petsc4py/conf/baseconf.py", line 411, in finalize_options
self.petsc_dir = config.get_petsc_dir(self.petsc_dir)
File "/tmp/pip-install-yg5szcfl/petsc4py/conf/baseconf.py", line 349, in get_petsc_dir
petsc_dir = petsc.get_petsc_dir()
AttributeError: module 'petsc' has no attribute 'get_petsc_dir'
----------------------------------------
ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
There are so many error messages that I have no idea where from I should start. Any help? The installation should be straightforward, I don't know what's going on. Trying to fix the package (or setup.py thereof) manually is futile. I'm using Python 3.8.10.
Any hints will be much appreciated.
The easiest solution I found to solve this issue in one of my Dockerfile is simply to use apt-get install -y python3-petsc4py-complex.
(If you want/have the petsc real version, use apt-get install -y python3-petsc4py-real instead).
From those who are interested, the same idea can be applied for slepc with apt-get install -y python3-slepc4py-complex.
Feel free to tell me if it works ! If not, I will try on a new Dockerfile to solve this.
I'm attempting to run the Dask-MPI "Getting Started" (http://mpi.dask.org/en/latest/) example in a fresh Anaconda environment.
I set up an environment using
conda create -n dask-mpi -c conda-forge python=3.7 dask-mpi
conda activate dask-mpi
Inside the environment, I run
mpirun -np 4 dask-mpi --scheduler-file ./scheduler.json
Then, from a python interpreter on the same machine (and in the same folder), I run
from dask.distributed import Client
client = Client(scheduler_file='/path/to/scheduler.json')
This results in the following error:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/nleaf/anaconda3/envs/dask-mpi/lib/python3.7/site-packages/distributed/client.py", line 712, in __init__
self.start(timeout=timeout)
File "/home/nleaf/anaconda3/envs/dask-mpi/lib/python3.7/site-packages/distributed/client.py", line 858, in start
sync(self.loop, self._start, **kwargs)
File "/home/nleaf/anaconda3/envs/dask-mpi/lib/python3.7/site-packages/distributed/utils.py", line 331, in sync
six.reraise(*error[0])
File "/home/nleaf/anaconda3/envs/dask-mpi/lib/python3.7/site-packages/six.py", line 693, in reraise
raise value
File "/home/nleaf/anaconda3/envs/dask-mpi/lib/python3.7/site-packages/distributed/utils.py", line 316, in f
result[0] = yield future
File "/home/nleaf/anaconda3/envs/dask-mpi/lib/python3.7/site-packages/tornado/gen.py", line 729, in run
value = future.result()
File "/home/nleaf/anaconda3/envs/dask-mpi/lib/python3.7/site-packages/tornado/gen.py", line 736, in run
yielded = self.gen.throw(*exc_info) # type: ignore
File "/home/nleaf/anaconda3/envs/dask-mpi/lib/python3.7/site-packages/distributed/client.py", line 954, in _start
yield self._ensure_connected(timeout=timeout)
File "/home/nleaf/anaconda3/envs/dask-mpi/lib/python3.7/site-packages/tornado/gen.py", line 729, in run
value = future.result()
File "/home/nleaf/anaconda3/envs/dask-mpi/lib/python3.7/site-packages/tornado/gen.py", line 736, in run
yielded = self.gen.throw(*exc_info) # type: ignore
File "/home/nleaf/anaconda3/envs/dask-mpi/lib/python3.7/site-packages/distributed/client.py", line 1015, in _ensure_connected
timedelta(seconds=timeout), self._update_scheduler_info()
File "/home/nleaf/anaconda3/envs/dask-mpi/lib/python3.7/site-packages/tornado/gen.py", line 729, in run
value = future.result()
tornado.util.TimeoutError: Timeout
The terminal that I ran dask-mpi from does not have any output which would indicate that something is trying to connect. I have verified that the port in question, 8786, is open. I've also verified via debugger that the client is getting the correct address from the scheduler file.
I've tried this in quite a few different environments and on a few different machines, including a fresh Ubuntu 18.04 docker container. I'm completely at a loss for what steps I might be missing.
It turns out this was due to an error in newer versions of dask.distributed (1.25.3) which broke the behavior of dask-mpi. This seems to be fixed as of dask-mpi 1.0.3 (https://github.com/dask/dask-mpi/releases/tag/1.0.3).
I'd like to make use of TensorBoard.I already saved training and validation data in the same directory as the rest of the project data using the tensorflow.keras.callbacks library.
I already pip reinstalled numpy, didn't work out. Then I deleted tb-nightly and tensorboard as I had them both for some reason and just pip reinstalled tb-nightly.
(Tensorflow) C:\Users\alias>python -c "print(__import__('numpy').__version__)"
1.16.2
(Tensorflow) C:\Users\alias>python -c "print(__import__('tensorflow').__version__)"
2.0.0-alpha0
(Tensorflow) C:\Users\alias>python -c "print(__import__('tensorboard.version').version.VERSION)"
1.14.0a20190301
When calling it via Anaconda prompt on a Win10-OS , the following happens:
(Tensorflow) C:\Users\alias>tensorboard --logdir=logs\
TensorBoard 1.14.0a20190301 at http://LAPTOP-4E1BJCAV:6006 (Press CTRL+C to quit)
Traceback (most recent call last):
File "c:\users\alias\anaconda3\envs\tensorflow\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "c:\users\alias\anaconda3\envs\tensorflow\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\alias\Anaconda3\envs\Tensorflow\Scripts\tensorboard.exe\__main__.py", line 9, in <module>
File "c:\users\alias\anaconda3\envs\tensorflow\lib\site-packages\tensorboard\main.py", line 58, in run_main
app.run(tensorboard.main, flags_parser=tensorboard.configure)
File "c:\users\alias\anaconda3\envs\tensorflow\lib\site-packages\absl\app.py", line 300, in run
_run_main(main, args)
File "c:\users\alias\anaconda3\envs\tensorflow\lib\site-packages\absl\app.py", line 251, in _run_main
sys.exit(main(argv))
File "c:\users\alias\anaconda3\envs\tensorflow\lib\site-packages\tensorboard\program.py", line 228, in main
self._register_info(server)
File "c:\users\alias\anaconda3\envs\tensorflow\lib\site-packages\tensorboard\program.py", line 274, in _register_info
manager.write_info_file(info)
File "c:\users\alias\anaconda3\envs\tensorflow\lib\site-packages\tensorboard\manager.py", line 269, in write_info_file
payload = "%s\n" % _info_to_string(tensorboard_info)
File "c:\users\alias\anaconda3\envs\tensorflow\lib\site-packages\tensorboard\manager.py", line 129, in _info_to_string
for k in _TENSORBOARD_INFO_FIELDS
File "c:\users\alias\anaconda3\envs\tensorflow\lib\site-packages\tensorboard\manager.py", line 129, in <dictcomp>
for k in _TENSORBOARD_INFO_FIELDS
File "c:\users\alias\anaconda3\envs\tensorflow\lib\site-packages\tensorboard\manager.py", line 51, in <lambda>
(dt - datetime.datetime.fromtimestamp(0)).total_seconds()),
OSError: [Errno 22] Invalid argument
Would be glad about some help.
Thanks in advance!
Did you do a fresh install and or update recently?
Not sure if this applies to your case or not? Yesterday I installed the latest conda, for python 2.7, from scratch and updated to the latest packages after installation. Running python from pycharm or windows powershell and importing numpy would throw a multiarray import error. The fix for me was to downgrade numpy from ?1.16.12? to ?1.5.14?. Sorry, but I am away from my PC's were I encountered the error but I think those versions are correct.
I experienced the same error in my local Jupyter notebook. Upgrading Numpy package worked for me.
Try upgrading Numpy as below
pip install numpy==1.16
If the above doesn't work, upgrade tensorflow with below command and try again
pip install tensorflow --upgrade
The issue was solved # Github https://github.com/tensorflow/tensorboard/issues/2092
Thanks for the support
While using Apache beamIO for preprocessing data, snappy library was a good to have module for compression but looks like the file transformation doesnt seems to work as it cannot find the crc32 compress function in the library! Im using snappy-0.5.2 version
the error looks like this -
INFO:tensorflow:Saver not created because there are no variables in the graph to restore
ERROR:root:Exception at bundle <apache_beam.runners.direct.bundle_factory._Bundle object at 0x7f1dd1d60e50>, due to an exception.
Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/direct/executor.py", line 312, in call
side_input_values)
File "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/direct/executor.py", line 347, in attempt_call
evaluator.process_element(value)
File "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/direct/transform_evaluator.py", line 551, in process_element
self.runner.process(element)
File "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/common.py", line 390, in process
self._reraise_augmented(exn)
File "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/common.py", line 388, in process
self.do_fn_invoker.invoke_process(windowed_value)
File "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/common.py", line 281, in invoke_process
self._invoke_per_window(windowed_value)
File "/usr/local/lib/python2.7/dist-packages/apache_beam/runners/common.py", line 307, in _invoke_per_window
windowed_value, self.process_method(*args_for_process))
File "/usr/local/lib/python2.7/dist-packages/apache_beam/typehints/typecheck.py", line 63, in process
return self.wrapper(self.dofn.process, args, kwargs)
File "/usr/local/lib/python2.7/dist-packages/apache_beam/typehints/typecheck.py", line 81, in wrapper
result = method(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/apache_beam/io/iobase.py", line 965, in process
self.writer.write(element)
File "/usr/local/lib/python2.7/dist-packages/apache_beam/io/filebasedsink.py", line 299, in write
self.sink.write_record(self.temp_handle, value)
File "/usr/local/lib/python2.7/dist-packages/apache_beam/io/filebasedsink.py", line 129, in write_record
self.write_encoded_record(file_handle, self.coder.encode(value))
File "/usr/local/lib/python2.7/dist-packages/apache_beam/io/tfrecordio.py", line 235, in write_encoded_record
_TFRecordUtil.write_record(file_handle, value)
File "/usr/local/lib/python2.7/dist-packages/apache_beam/io/tfrecordio.py", line 97, in write_record
struct.pack('<I', cls._masked_crc32c(encoded_length)), #
File "/usr/local/lib/python2.7/dist-packages/apache_beam/io/tfrecordio.py", line 77, in _masked_crc32c
crc = crc32c_fn(value)
File "/usr/local/lib/python2.7/dist-packages/apache_beam/io/tfrecordio.py", line 43, in _default_crc32c_fn
_default_crc32c_fn.fn = snappy._crc32c # pylint: disable=protected-access
AttributeError: 'module' object has no attribute '_crc32c' [while running 'WriteTrainData/Write/WriteImpl/WriteBundles']
If any one could help me to use snappy with tensorflow correctly!
Thank you
I just hit this issue; I think it is due to Beam being a little careless about versions of optional test-dependencies (in this case, tensorflow and python-snappy).
The problematic code:
import snappy
snappy._crc32c
works in python-snappy version 0.5.1 but not in 0.5.2 (the latest version).
I got these Beam tests passing by installing python-snappy 0.5.1 via:
pip install \
--upgrade --ignore-installed \
python-snappy==0.5.1 \
--global-option=build_ext \
--global-option="-I/usr/local/include" \
--global-option="-L/usr/local/lib"
On OSX I need the three --global-option flags otherwise it doesn't find my snappy headers (symptom: errors about #include <snappy-c.h>) and library files, which brew install snappy placed in /usr/local/include and /usr/local/lib, respectively.
The bits before that seem necessary to override pip's default of wanting to give me the latest version.
I recently installed a new verion of Anaconda 3 4.2 on a windows laptop.
All the packages work fine , but pandas never worked for me from day 1.
So i thought of uninstalling and installing a new version of pandas 0.19
While using pip:
C:\Users\>python -m pip install --user pandas
Collecting pandas
Using cached pandas-0.19.2-cp35-cp35m-win_amd64.whl
Exception:
Traceback (most recent call last):
File "D:\Anaconda3-4.2\lib\site-packages\pip\basecommand.py", line 215, in main
status = self.run(options, args)
File "D:\Anaconda3-4.2\lib\site-packages\pip\commands\install.py", line 335, in run
wb.build(autobuilding=True)
File "D:\Anaconda3-4.2\lib\site-packages\pip\wheel.py", line 749, in build
self.requirement_set.prepare_files(self.finder)
File "D:\Anaconda3-4.2\lib\site-packages\pip\req\req_set.py", line 380, in prepare_files
ignore_dependencies=self.ignore_dependencies))
File "D:\Anaconda3-4.2\lib\site-packages\pip\req\req_set.py", line 620, in _prepare_file
session=self.session, hashes=hashes)
File "D:\Anaconda3-4.2\lib\site-packages\pip\download.py", line 821, in unpack_url
hashes=hashes
File "D:\Anaconda3-4.2\lib\site-packages\pip\download.py", line 663, in unpack_http_url
unpack_file(from_path, location, content_type, link)
File "D:\Anaconda3-4.2\lib\site-packages\pip\utils\__init__.py", line 599, in unpack_file
flatten=not filename.endswith('.whl')
File "D:\Anaconda3-4.2\lib\site-packages\pip\utils\__init__.py", line 499, in unzip_file
fp = open(fn, 'wb')
PermissionError: [Errno 13] Permission denied: C:\\Users\\AppData\\Local\\Temp\\pip-build-h5ip5q8f\\pandas\\pandas/io/tests/data/blank.xls
While using conda :
An unexpected error has occurred.
Please consider posting the following information to the
conda GitHub issue tracker at:
https://github.com/conda/conda/issues
Current conda install:
platform : win-64
conda version : 4.3.8
conda is private : False
conda-env version : 4.3.8
conda-build version : 2.0.2
python version : 3.5.2.final.0
requests version : 2.12.4
root environment : D:\Anaconda3-4.2 (writable)
default environment : D:\Anaconda3-4.2
envs directories : D:\Anaconda3-4.2\envs
package cache : D:\Anaconda3-4.2\pkgs
channel URLs : https://repo.continuum.io/pkgs/free/win-64
https://repo.continuum.io/pkgs/free/noarch
https://repo.continuum.io/pkgs/r/win-64
https://repo.continuum.io/pkgs/r/noarch
https://repo.continuum.io/pkgs/pro/win-64
https://repo.continuum.io/pkgs/pro/noarch
https://repo.continuum.io/pkgs/msys2/win-64
https://repo.continuum.io/pkgs/msys2/noarch
config file : None
offline mode : False
user-agent : conda/4.3.8 requests/2.12.4 CPython/3.5.2 Windows/7
Windows/6.1.7601
D:\Anaconda3-4.2\Scripts\conda-script.py install pandas
Traceback (most recent call last):
File "D:\Anaconda3-4.2\lib\site-packages\conda\exceptions.py", line 617, in conda_exception_handler
return_value = func(*args, **kwargs)
File "D:\Anaconda3-4.2\lib\site-packages\conda\cli\main.py", line 137, in _main
exit_code = args.func(args, p)
File "D:\Anaconda3-4.2\lib\site-packages\conda\cli\main_install.py", line 80, in execute
install(args, parser, 'install')
File "D:\Anaconda3-4.2\lib\site-packages\conda\cli\install.py", line 347, in install
execute_actions(actions, index, verbose=not context.quiet)
File "D:\Anaconda3-4.2\lib\site-packages\conda\plan.py", line 837, in execute_actions
execute_instructions(plan, index, verbose)
File "D:\Anaconda3-4.2\lib\site-packages\conda\instructions.py", line 258, in execute_instructions
cmd(state, arg)
File "D:\Anaconda3-4.2\lib\site-packages\conda\instructions.py", line 118, in UNLINKLINKTRANSACTION_CMD
txn = UnlinkLinkTransaction.create_from_dists(index, prefix, unlink_dists, link_dists)
File "D:\Anaconda3-4.2\lib\site-packages\conda\core\link.py", line 121, in create_from_dists
for dist, pkg_dir in zip(link_dists, pkg_dirs_to_link))
File "D:\Anaconda3-4.2\lib\site-packages\conda\core\link.py", line 121, in <genexpr>
for dist, pkg_dir in zip(link_dists, pkg_dirs_to_link))
File "D:\Anaconda3-4.2\lib\site-packages\conda\gateways\disk\read.py", line 71, in read_package_info
index_json_record = read_index_json(extracted_package_directory)
File "D:\Anaconda3-4.2\lib\site-packages\conda\gateways\disk\read.py", line 94, in read_index_json
with open(join(extracted_package_directory, 'info', 'index.json')) as fi:
FileNotFoundError: [Errno 2] No such file or directory: 'D:\\Anaconda3-4.2\\pkgs\\pandas-0.19.2-np111py35_1\\info\\index.json
The problem is that you are trying to install Pandas as a regular user, and therefore cannot change the contents of Anaconda installation folder (where Python installed packages live). You need to run CMD or PowerShell (whichever you are using) as an administrator. Right-click on its shortcut in the start menu and click "Run as administrator", then run again the same command.
Try to use Anaconda package manager - conda instead of pip:
C:\> conda install pandas