Created a new compute instance in Azure ML and trained a model with out any issue. I wanted to draw a pairplot using seaborn but I keep getting the error "ImportError: No module named seaborn"
I ran !conda list and I can see seaborn in the list
# packages in environment at /anaconda:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
alabaster 0.7.12 py37_0
anaconda 2018.12 py37_0
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.6 py37_0
anaconda-project 0.8.2 py37_0
applicationinsights 0.11.9 <pip>
asn1crypto 0.24.0 py37_0
astroid 2.1.0 py37_0
astropy 3.1 py37h7b6447c_0
atomicwrites 1.2.1 py37_0
attrs 18.2.0 py37h28b3542_0
babel 2.6.0 py37_0
backcall 0.1.0 py37_0
backports 1.0 py37_1
backports.os 0.1.1 py37_0
backports.shutil_get_terminal_size 1.0.0 py37_2
beautifulsoup4 4.6.3 py37_0
bitarray 0.8.3 py37h14c3975_0
bkcharts 0.2 py37_0
blas 1.0 mkl
blaze 0.11.3 py37_0
bleach 3.0.2 py37_0
blosc 1.14.4 hdbcaa40_0
bokeh 1.0.2 py37_0
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h035aef0_1
bzip2 1.0.6 h14c3975_5
ca-certificates 2020.7.22 0 anaconda
cairo 1.14.12 h8948797_3
certifi 2020.6.20 py37_0 anaconda
cffi 1.11.5 py37he75722e_1
chardet 3.0.4 py37_1
click 7.0 py37_0
cloudpickle 0.6.1 py37_0
clyent 1.2.2 py37_1
colorama 0.4.1 py37_0
conda 4.5.12 py37_0
conda-build 3.17.6 py37_0
conda-env 2.6.0 1
conda-verify 3.1.1 py37_0
contextlib2 0.5.5 py37_0
cryptography 2.4.2 py37h1ba5d50_0
curl 7.63.0 hbc83047_1000
cycler 0.10.0 py37_0 anaconda
cython 0.29.2 py37he6710b0_0
cytoolz 0.9.0.1 py37h14c3975_1
dask 1.0.0 py37_0
dask-core 1.0.0 py37_0
datashape 0.5.4 py37_1
dbus 1.13.12 h746ee38_0 anaconda
decorator 4.3.0 py37_0
defusedxml 0.5.0 py37_1
distributed 1.25.1 py37_0
docutils 0.14 py37_0
entrypoints 0.2.3 py37_2
et_xmlfile 1.0.1 py37_0
expat 2.2.9 he6710b0_2 anaconda
fastcache 1.0.2 py37h14c3975_2
filelock 3.0.10 py37_0
flask 1.0.2 py37_1
flask-cors 3.0.7 py37_0
fontconfig 2.13.0 h9420a91_0 anaconda
freetype 2.10.2 h5ab3b9f_0 anaconda
fribidi 1.0.5 h7b6447c_0
future 0.17.1 py37_0
get_terminal_size 1.0.0 haa9412d_0
gevent 1.3.7 py37h7b6447c_1
glib 2.56.2 hd408876_0 anaconda
glob2 0.6 py37_1
gmp 6.1.2 h6c8ec71_1
gmpy2 2.0.8 py37h10f8cd9_2
graphite2 1.3.12 h23475e2_2
greenlet 0.4.15 py37h7b6447c_0
gst-plugins-base 1.14.0 hbbd80ab_1 anaconda
gstreamer 1.14.0 hb453b48_1 anaconda
h5py 2.8.0 py37h989c5e5_3
harfbuzz 1.8.8 hffaf4a1_0
hdf5 1.10.2 hba1933b_1
heapdict 1.0.0 py37_2
html5lib 1.0.1 py37_0
icu 58.2 he6710b0_3 anaconda
idna 2.8 py37_0
imageio 2.4.1 py37_0
imagesize 1.1.0 py37_0
importlib_metadata 0.6 py37_0
intel-openmp 2019.1 144
ipykernel 5.1.0 py37h39e3cac_0
ipython 7.2.0 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.4.2 py37_0
isort 4.3.4 py37_0
itsdangerous 1.1.0 py37_0
jbig 2.1 hdba287a_0
jdcal 1.4 py37_0
jedi 0.13.2 py37_0
jeepney 0.4 py37_0
jinja2 2.10 py37_0
jpeg 9b habf39ab_1 anaconda
jsonschema 2.6.0 py37_0
jupyter 1.0.0 py37_7
jupyter_client 5.2.4 py37_0
jupyter_console 6.0.0 py37_0
jupyter_core 4.4.0 py37_0
jupyterlab 0.35.3 py37_0
jupyterlab_server 0.2.0 py37_0
keyring 17.0.0 py37_0
kiwisolver 1.2.0 py37hfd86e86_0 anaconda
krb5 1.16.1 h173b8e3_7
lazy-object-proxy 1.3.1 py37h14c3975_2
lcms2 2.11 h396b838_0 anaconda
ld_impl_linux-64 2.33.1 h53a641e_7 anaconda
libarchive 3.3.3 h5d8350f_5
libcurl 7.63.0 h20c2e04_1000
libedit 3.1.20191231 h14c3975_1 anaconda
libffi 3.3 he6710b0_2 anaconda
libgcc-ng 9.1.0 hdf63c60_0 anaconda
libgfortran-ng 7.3.0 hdf63c60_0
liblief 0.9.0 h7725739_1
libpng 1.6.37 hbc83047_0 anaconda
libsodium 1.0.16 h1bed415_0
libssh2 1.8.0 h1ba5d50_4
libstdcxx-ng 8.2.0 hdf63c60_1
libtiff 4.1.0 h2733197_1 anaconda
libtool 2.4.6 h7b6447c_5
libuuid 1.0.3 h1bed415_2 anaconda
libxcb 1.14 h7b6447c_0 anaconda
libxml2 2.9.10 he19cac6_1 anaconda
libxslt 1.1.32 h1312cb7_0
llvmlite 0.26.0 py37hd408876_0
locket 0.2.0 py37_1
lxml 4.2.5 py37hefd8a0e_0
lz4-c 1.9.2 he6710b0_1 anaconda
lzo 2.10 h49e0be7_2
markupsafe 1.1.0 py37h7b6447c_0
matplotlib 3.3.1 0 anaconda
matplotlib-base 3.3.1 py37h817c723_0 anaconda
mccabe 0.6.1 py37_1
mistune 0.8.4 py37h7b6447c_0
mkl 2019.1 144
mkl-service 1.1.2 py37he904b0f_5
mkl_fft 1.0.10 py37ha843d7b_0 anaconda
mkl_random 1.0.2 py37hd81dba3_0 anaconda
more-itertools 4.3.0 py37_0
mpc 1.1.0 h10f8cd9_1
mpfr 4.0.1 hdf1c602_3
mpmath 1.1.0 py37_0
msgpack-python 0.5.6 py37h6bb024c_1
multipledispatch 0.6.0 py37_0
navigator-updater 0.2.1 py37_0
nbconvert 5.4.0 py37_1
nbformat 4.4.0 py37_0
ncurses 6.2 he6710b0_1 anaconda
networkx 2.2 py37_1
nltk 3.4 py37_1
nose 1.3.7 py37_2
notebook 5.7.4 py37_0
numba 0.41.0 py37h962f231_0
numexpr 2.6.8 py37h9e4a6bb_0
numpy 1.16.2 py37h7e9f1db_0 anaconda
numpy-base 1.16.2 py37hde5b4d6_0 anaconda
numpydoc 0.8.0 py37_0
odo 0.5.1 py37_0
olefile 0.46 py_0 anaconda
openpyxl 2.5.12 py37_0
openssl 1.1.1g h7b6447c_0 anaconda
packaging 18.0 py37_0
pandas 1.1.1 py37he6710b0_0 anaconda
pandoc 1.19.2.1 hea2e7c5_1
pandocfilters 1.4.2 py37_1
pango 1.42.4 h049681c_0
parso 0.3.1 py37_0
partd 0.3.9 py37_0
patchelf 0.9 he6710b0_3
path.py 11.5.0 py37_0
pathlib2 2.3.3 py37_0
patsy 0.5.1 py37_0
pcre 8.44 he6710b0_0 anaconda
pep8 1.7.1 py37_0
pexpect 4.6.0 py37_0
pickleshare 0.7.5 py37_0
pillow 7.2.0 py37hb39fc2d_0 anaconda
pip 20.2.2 py37_0 anaconda
pixman 0.34.0 hceecf20_3
pkginfo 1.4.2 py37_1
pluggy 0.8.0 py37_0
ply 3.11 py37_0
prometheus_client 0.5.0 py37_0
prompt_toolkit 2.0.7 py37_0
psutil 5.4.8 py37h7b6447c_0
ptyprocess 0.6.0 py37_0
py 1.7.0 py37_0
py-lief 0.9.0 py37h7725739_1
pycodestyle 2.4.0 py37_0
pycosat 0.6.3 py37h14c3975_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37h14c3975_9
pycurl 7.43.0.2 py37h1ba5d50_0
pyflakes 2.0.0 py37_0
pygments 2.3.1 py37_0
pylint 2.2.2 py37_0
pyodbc 4.0.25 py37he6710b0_0
pyopenssl 18.0.0 py37_0
pyparsing 2.4.7 py_0 anaconda
pyqt 5.9.2 py37h22d08a2_1 anaconda
pysocks 1.6.8 py37_0
pytables 3.4.4 py37ha205bf6_0
pytest 4.0.2 py37_0
pytest-arraydiff 0.3 py37h39e3cac_0
pytest-astropy 0.5.0 py37_0
pytest-doctestplus 0.2.0 py37_0
pytest-openfiles 0.3.1 py37_0
pytest-remotedata 0.3.1 py37_0
python 3.7.9 h7579374_0 anaconda
python-dateutil 2.8.1 py_0 anaconda
python-libarchive-c 2.8 py37_6
pytz 2020.1 py_0 anaconda
pywavelets 1.0.1 py37hdd07704_0
pyyaml 3.13 py37h14c3975_0
pyzmq 17.1.2 py37h14c3975_0
qt 5.9.7 h5867ecd_1 anaconda
qtawesome 0.5.3 py37_0
qtconsole 4.4.3 py37_0
qtpy 1.5.2 py37_0
readline 8.0 h7b6447c_0 anaconda
requests 2.21.0 py37_0
rope 0.11.0 py37_0
ruamel_yaml 0.15.46 py37h14c3975_0
scikit-image 0.14.1 py37he6710b0_0
scikit-learn 0.20.1 py37hd81dba3_0
scipy 1.2.1 py37h7c811a0_0 anaconda
seaborn 0.10.1 py_0 anaconda
secretstorage 3.1.0 py37_0
send2trash 1.5.0 py37_0
setuptools 49.6.0 py37_0 anaconda
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.24 py37he6710b0_0 anaconda
six 1.15.0 py_0 anaconda
snappy 1.1.7 hbae5bb6_3
snowballstemmer 1.2.1 py37_0
sortedcollections 1.0.1 py37_0
sortedcontainers 2.1.0 py37_0
sphinx 1.8.2 py37_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-websupport 1.1.0 py37_1
spyder 3.3.2 py37_0
spyder-kernels 0.3.0 py37_0
sqlalchemy 1.2.15 py37h7b6447c_0
sqlite 3.33.0 h62c20be_0 anaconda
statsmodels 0.9.0 py37h035aef0_0
sympy 1.3 py37_0
tblib 1.3.2 py37_0
terminado 0.8.1 py37_1
testpath 0.4.2 py37_0
tk 8.6.10 hbc83047_0 anaconda
toolz 0.9.0 py37_0
tornado 6.0.4 py37h7b6447c_1 anaconda
tqdm 4.28.1 py37h28b3542_0
traitlets 4.3.2 py37_0
unicodecsv 0.14.1 py37_0
unixodbc 2.3.7 h14c3975_0
urllib3 1.24.1 py37_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.14.1 py37_0
wheel 0.35.1 py_0 anaconda
widgetsnbextension 3.4.2 py37_0
wrapt 1.10.11 py37h14c3975_2
wurlitzer 1.0.2 py37_0
xlrd 1.2.0 py37_0
xlsxwriter 1.1.2 py37_0
xlwt 1.3.0 py37_0
xz 5.2.5 h7b6447c_0 anaconda
yaml 0.1.7 had09818_2
zeromq 4.2.5 hf484d3e_1
zict 0.1.3 py37_0
zlib 1.2.11 h7b6447c_3 anaconda
zstd 1.4.4 h0b5b093_3 anaconda
I just did the following and wasn't able to reproduce your error:
make a new compute instance
open it up using JupyterLab
open a new terminal
conda activate azureml_py36
conda install seaborn -y
open a new notebook and run import seaborn as sns
Spitballing
Are you using the kernel, Python 3.6 - AzureML (i.e. the azureml_py36 conda env)?
Have you tried restarting the kernel and/or creating a new compute instance?
Related
config = """
language: "en"
pipeline:
- name: "nlp_spacy"
model: "en_core_web_sm"
- name: "tokenizer_spacy"
- name: "intent_entity_featurizer_regex"
- name: "intent_featurizer_spacy"
- name: "ner_crf"
- name: "ner_synonyms"
- name: "intent_classifier_sklearn"
"""
with open('config.yml', 'a') as f:
print(config, file = f)
f.close()
from rasa_nlu.training_data import load_data
from rasa_nlu.config import RasaNLUModelConfig
from rasa_nlu.model import Trainer
from rasa_nlu import config
import spacy
# Load training data
training_data = load_data("intent.md")
# Use trainer to load configuration data the needs to be learnt by the model
trainer = Trainer(config.load("config.yml"))
# Train model on training data
interpreter = trainer.train(training_data)
# Save Model
model_directory = trainer.persist("./models/nlu")
Here is my conda list
(venv) (base) PS C:\Users\Vatsal\AgriculturalChatbot-master> conda list
# packages in environment at C:\Users\Vatsal\anaconda3:
#**
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py36_0
alabaster 0.7.12 py36_0
anaconda 2020.07 py36_0
anaconda-client 1.7.2 py36_0
anaconda-navigator 2.0.4 py36_0
anaconda-project 0.8.4 py_0
argh 0.26.2 py36_0
asn1crypto 1.3.0 py36_0
astroid 2.4.2 py36_0
astropy 4.0.1.post1 py36he774522_1
atomicwrites 1.4.0 py_0
attrs 19.3.0 py_0
automat 20.2.0 pypi_0 pypi
autopep8 1.5.3 py_0
babel 2.8.0 py_0
backcall 0.2.0 py_0
backports 1.0 py_2
backports.functools_lru_cache 1.6.1 py_0
backports.shutil_get_terminal_size 1.0.0 py36_2
backports.tempfile 1.0 py_1
backports.weakref 1.0.post1 py_1
bcrypt 3.1.7 py36he774522_1
beautifulsoup4 4.9.1 py36_0
bitarray 1.4.0 py36he774522_0
bkcharts 0.2 py36_0
blas 1.0 mkl
bleach 3.1.5 py_0
blosc 1.19.0 h7bd577a_0
bokeh 2.1.1 py36_0
boto 2.49.0 py36_0
boto3 1.18.16 pypi_0 pypi
botocore 1.21.16 pypi_0 pypi
bottleneck 1.3.2 py36h2a96729_1
brotlipy 0.7.0 py36he774522_1000
bzip2 1.0.8 he774522_0
ca-certificates 2020.6.24 0
catalogue 2.0.4 pypi_0 pypi
certifi 2020.6.20 py36_0
cffi 1.14.0 py36h7a1dbc1_0
chardet 3.0.4 py36_1003
click 7.1.2 py_0
cloudpickle 0.6.1 pypi_0 pypi
clyent 1.2.2 py36_1
colorama 0.4.3 py_0
coloredlogs 10.0 pypi_0 pypi
comtypes 1.1.7 py36_1001
conda 4.10.3 py36ha15d459_0 conda-forge
conda-build 3.21.4 py36haa95532_0
conda-content-trust 0.1.1 pyhd3eb1b0_0
conda-env 2.6.0 1
conda-package-handling 1.7.3 py36h8cc25b3_1
conda-repo-cli 1.0.4 pyhd3eb1b0_0
conda-token 0.3.0 pyhd3eb1b0_0
conda-verify 3.4.2 py_1
console_shortcut 0.1.1 4
constantly 15.1.0 pypi_0 pypi
contextlib2 0.6.0.post1 py_0
contextvars 2.4 py_0
cryptography 2.9.2 py36h7a1dbc1_0
curl 7.71.1 h2a8f88b_1
cycler 0.10.0 py36h009560c_0
cymem 2.0.5 py36he2d232f_2 conda-forge
cython 0.29.21 py36ha925a31_0
cython-blis 0.7.4 py36h6434af4_0 conda-forge
cytoolz 0.10.1 py36he774522_0
dask 2.20.0 py_0
dask-core 2.20.0 py_0
dataclasses 0.8 pyh787bdff_0 conda-forge
decorator 4.4.2 py_0
defusedxml 0.6.0 py_0
diff-match-patch 20200713 py_0
distributed 2.20.0 py36_0
docutils 0.16 py36_1
entrypoints 0.3 py36_0
et_xmlfile 1.0.1 py_1001
fastcache 1.1.0 py36he774522_0
filelock 3.0.12 py_0
flake8 3.8.3 py_0
flask 1.1.2 py_0
freetype 2.10.2 hd328e21_0
fsspec 0.7.4 py_0
future 0.17.1 pypi_0 pypi
get_terminal_size 1.0.0 h38e98db_0
gevent 1.5.0 pypi_0 pypi
glob2 0.7 py_0
gmpy2 2.0.8 py36h0964b28_3
greenlet 0.4.16 py36he774522_0
h5py 2.10.0 py36h5e291fa_0
hdf5 1.10.4 h7ebc959_0
heapdict 1.0.1 py_0
html5lib 1.1 py_0
humanfriendly 9.2 pypi_0 pypi
hyperlink 21.0.0 pypi_0 pypi
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 2.10 py_0
imageio 2.9.0 py_0
imagesize 1.2.0 py_0
immutables 0.14 py36he774522_0
importlib-metadata 1.7.0 py36_0
importlib_metadata 1.7.0 0
incremental 21.3.0 pypi_0 pypi
intel-openmp 2019.4 245
intervaltree 3.0.2 py_1
ipykernel 5.3.2 py36h5ca1d4c_0
ipython 7.16.1 py36h5ca1d4c_0
ipython_genutils 0.2.0 py36_0
ipywidgets 7.5.1 py_0
isort 4.3.21 py36_0
itsdangerous 1.1.0 py36_0
jdcal 1.4.1 py_0
jedi 0.17.1 py36_0
jinja2 2.11.2 py_0
jmespath 0.10.0 pypi_0 pypi
joblib 0.16.0 py_0
jpeg 9b hb83a4c4_2
json5 0.9.5 py_0
jsonschema 2.6.0 pypi_0 pypi
jupyter 1.0.0 py36_7
jupyter_client 6.1.6 py_0
jupyter_console 6.1.0 py_0
jupyter_core 4.6.3 py36_0
jupyterlab 2.1.5 py_0
jupyterlab_server 1.2.0 py_0
keyring 21.2.1 py36_0
kiwisolver 1.2.0 py36h74a9793_0
klein 17.10.0 pypi_0 pypi
krb5 1.18.2 hc04afaa_0
lazy-object-proxy 1.4.3 py36he774522_0
libarchive 3.4.2 h5e25573_0
libcurl 7.71.1 h2a8f88b_1
libiconv 1.15 h1df5818_7
liblief 0.10.1 ha925a31_0
libllvm9 9.0.1 h21ff451_0
libpng 1.6.37 h2a8f88b_0
libsodium 1.0.18 h62dcd97_0
libspatialindex 1.9.3 h33f27b4_0
libssh2 1.9.0 h7a1dbc1_1
libtiff 4.1.0 h56a325e_1
libxml2 2.9.10 h464c3ec_1
libxslt 1.1.34 he774522_0
llvmlite 0.33.0 py36ha925a31_0
locket 0.2.0 py36hfed976d_1
lxml 4.5.2 py36h1350720_0
lz4-c 1.9.2 h62dcd97_0
lzo 2.10 he774522_2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markupsafe 1.1.1 py36he774522_0
matplotlib 2.2.5 pypi_0 pypi
matplotlib-base 3.2.2 py36h64f37c6_0
mccabe 0.6.1 py36_1
menuinst 1.4.16 py36he774522_1
mistune 0.8.4 py36he774522_0
mkl 2019.4 245
mkl-service 2.3.0 py36hb782905_0
mkl_fft 1.0.14 py36h6288b17_0
mkl_random 1.0.4 py36h343c172_0
mock 4.0.2 py_0
more-itertools 8.4.0 py_0
mpc 1.1.0 h7edee0f_1
mpfr 4.0.2 h62dcd97_1
mpir 3.0.0 hec2e145_1
mpmath 1.1.0 py36_0
msgpack-python 1.0.0 py36h74a9793_1
msys2-conda-epoch 20160418 1
multipledispatch 0.6.0 py36_0
murmurhash 1.0.5 py36he2d232f_0 conda-forge
navigator-updater 0.2.1 py36_0
nbconvert 5.6.1 py36_0
nbformat 5.0.7 py_0
networkx 2.4 py_1
nltk 3.5 py_0
nose 1.3.7 py36_2
notebook 6.0.3 py36_0
numba 0.50.1 py36h47e9c7a_0
numexpr 2.7.1 py36h25d0782_0
numpy 1.18.5 pypi_0 pypi
numpy-base 1.17.0 py36hc3f5095_0
numpydoc 1.1.0 py_0
olefile 0.46 py36_0
openpyxl 3.0.4 py_0
openssl 1.1.1g he774522_0 conda-forge
packaging 18.0 pypi_0 pypi
pandas 1.0.5 py36h47e9c7a_0
pandoc 2.10 0
pandocfilters 1.4.2 py36_1
paramiko 2.7.1 py_0
parso 0.7.0 py_0
partd 1.1.0 py_0
path 13.1.0 py36_0
path.py 12.4.0 0
pathlib2 2.3.5 py36_0
pathtools 0.1.2 py_1
pathy 0.6.0 pyhd8ed1ab_0 conda-forge
patsy 0.5.1 py36_0
pep8 1.7.1 py36_0
pexpect 4.8.0 py36_0
pickleshare 0.7.5 py36_0
pillow 7.2.0 py36hcc1f983_0
pip 20.1.1 py36_1
pkginfo 1.5.0.1 py36_0
pluggy 0.13.1 py36_0
ply 3.11 py36_0
powershell_shortcut 0.0.1 3
praw 7.2.0 pypi_0 pypi
prawcore 2.0.0 pypi_0 pypi
preshed 3.0.5 py36he2d232f_1 conda-forge
prometheus_client 0.8.0 py_0
prompt-toolkit 3.0.5 py_0
prompt_toolkit 3.0.5 0
psutil 5.7.0 py36he774522_0
py 1.9.0 py_0
py-lief 0.10.1 py36ha925a31_0
pycodestyle 2.6.0 py_0
pycosat 0.6.3 py36he774522_0
pycparser 2.20 py_2
pycrypto 2.6.1 py36he774522_10
pycurl 7.43.0.5 py36h7a1dbc1_0
pydantic 1.8.2 pypi_0 pypi
pydocstyle 5.0.2 py_0
pyflakes 2.2.0 py_0
pygments 2.6.1 py_0
pylint 2.5.3 py36_0
pynacl 1.4.0 py36h62dcd97_1
pyodbc 4.0.30 py36ha925a31_0
pyopenssl 19.1.0 py_1
pyparsing 2.4.7 py_0
pyqt 5.9.2 py36h6538335_2
pyreadline 2.1 py36_1
pyrsistent 0.16.0 py36he774522_0
pysocks 1.7.1 py36_0
pytables 3.6.1 py36h1da0976_0
pytest 5.4.3 py36_0
python 3.6.10 h9f7ef89_2
python-dateutil 2.8.1 py_0
python-jsonrpc-server 0.3.4 py_1
python-language-server 0.34.1 py36_0
python-libarchive-c 2.9 py_0
python_abi 3.6 2_cp36m conda-forge
pytz 2020.1 py_0
pywavelets 1.1.1 py36he774522_0
pywin32 227 py36he774522_1
pywin32-ctypes 0.2.0 py36_1000
pywinpty 0.5.7 py36_0
pyyaml 5.3.1 py36he774522_1
pyzmq 19.0.1 py36ha925a31_1
qdarkstyle 2.8.1 py_0
qt 5.9.7 vc14h73c81de_0
qtawesome 0.7.2 py_0
qtconsole 4.7.5 py_0
qtpy 1.9.0 py_0
rasa-nlu 0.15.1 pypi_0 pypi
regex 2020.6.8 py36he774522_0
requests 2.24.0 py_0
rope 0.17.0 py_0
rtree 0.9.4 py36h21ff451_1
ruamel-yaml 0.15.100 pypi_0 pypi
ruamel_yaml 0.15.87 py36he774522_1
s3transfer 0.5.0 pypi_0 pypi
scikit-image 0.16.2 py36h47e9c7a_0
scikit-learn 0.20.4 pypi_0 pypi
scipy 1.5.0 py36h9439919_0
seaborn 0.10.1 py_0
send2trash 1.5.0 py36_0
setuptools 49.2.0 py36_0
shellingham 1.4.0 pyh44b312d_0 conda-forge
simplegeneric 0.8.1 py36_2
simplejson 3.17.3 pypi_0 pypi
singledispatch 3.4.0.3 py36h17d0c80_0
sip 4.19.8 py36h6538335_0
six 1.15.0 py_0
smart_open 5.1.0 pyhd8ed1ab_1 conda-forge
snappy 1.1.8 h33f27b4_0
snowballstemmer 2.0.0 py_0
sortedcollections 1.2.1 py_0
sortedcontainers 2.2.2 py_0
soupsieve 2.0.1 py_0
spacy 3.1.1 pypi_0 pypi
spacy-legacy 3.0.8 pyhd8ed1ab_0 conda-forge
sphinx 3.1.2 py_0
sphinxcontrib 1.0 py36_1
sphinxcontrib-applehelp 1.0.2 py_0
sphinxcontrib-devhelp 1.0.2 py_0
sphinxcontrib-htmlhelp 1.0.3 py_0
sphinxcontrib-jsmath 1.0.1 py_0
sphinxcontrib-qthelp 1.0.3 py_0
sphinxcontrib-serializinghtml 1.1.4 py_0
sphinxcontrib-websupport 1.2.3 py_0
spyder 4.1.4 py36_0
spyder-kernels 1.9.2 py36_0
sqlalchemy 1.3.18 py36he774522_0
sqlite 3.32.3 h2a8f88b_0
srsly 2.4.1 py36he2d232f_0 conda-forge
statsmodels 0.11.1 py36he774522_0
sympy 1.6.1 py36_0
tbb 2020.0 h74a9793_0
tblib 1.6.0 py_0
terminado 0.8.3 py36_0
testpath 0.4.4 py_0
thinc 8.0.8 pypi_0 pypi
threadpoolctl 2.1.0 pyh5ca1d4c_0
tk 8.6.10 he774522_0
toml 0.10.1 py_0
toolz 0.10.0 py_0
tornado 6.0.4 py36he774522_1
tqdm 4.47.0 py_0
traitlets 4.3.3 py36_0
twisted 21.7.0 pypi_0 pypi
twisted-iocpsupport 1.0.1 pypi_0 pypi
typed-ast 1.4.1 py36he774522_0
typer 0.3.2 pyhd8ed1ab_0 conda-forge
typing 3.7.4.3 pypi_0 pypi
typing-extensions 3.10.0.0 pypi_0 pypi
typing_extensions 3.7.4.2 py_0
ujson 1.35 py36hfa6e2cd_0
unicodecsv 0.14.1 py36h6450c06_0
update-checker 0.18.0 pypi_0 pypi
urllib3 1.25.9 py_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_3
wasabi 0.8.2 pyh44b312d_0 conda-forge
watchdog 0.10.3 py36_0
wcwidth 0.2.5 py_0
webencodings 0.5.1 py36_1
websocket-client 0.58.0 pypi_0 pypi
werkzeug 1.0.1 py_0
wheel 0.34.2 py36_0
widgetsnbextension 3.5.1 py36_0
win_inet_pton 1.1.0 py36_0
win_unicode_console 0.5 py36hcdbd4b5_0
wincertstore 0.2 py36h7fe50ca_0
winpty 0.4.3 4
wrapt 1.11.2 py36he774522_0
xlrd 1.2.0 py36_0
xlsxwriter 1.2.9 py_0
xlwings 0.19.5 py36_0
xlwt 1.3.0 py36h1a4751e_0
xmltodict 0.12.0 py_0
xz 5.2.5 h62dcd97_0
yaml 0.2.5 he774522_0
yapf 0.30.0 py_0
zeromq 4.3.2 ha925a31_2
zict 2.0.0 py_0
zipp 3.1.0 py_0
zlib 1.2.11 h62dcd97_4
zope 1.0 py36_1
zope.event 4.4 py36_0
zope.interface 4.7.1 py36he774522_0
I am getting below error when I am trying to install below library using File (.tar.bz2) . I dont have Internet connection in my hadoop cluster that is the reason I am using below command to install pyarrow using conda.
(base) [XXXX#XXX-XXX-XXX goel]# conda install pyarrow-0.14.1-py37h8b68381_2.tar.bz2
WARNING: The conda.compat module is deprecated and will be removed in a future release.
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(base) [XXXX#XXX-XXX-XXX goel]#
When I try to import I am getting below below error
(base) [XXXX#XXX-XXX-XXX usr]# python -c "import pyarrow"
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/opt/anaconda3/lib/python3.7/site-packages/pyarrow/__init__.py", line 49, in <module>
from pyarrow.lib import cpu_count, set_cpu_count
ImportError: libarrow.so.14: cannot open shared object file: No such file or directory
Below are the conda list output:
(base) [XXXX#XXX-XXX-XXX usr]# conda list
WARNING: The conda.compat module is deprecated and will be removed in a future release.
# packages in environment at /opt/anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
alabaster 0.7.12 py37_0
anaconda 2019.03 py37_0
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.7 py37_0
anaconda-project 0.8.2 py37_0
arrow 0.15.3 py37_0 <unknown>
arrow-cpp 0.15.0 py37h090bef1_2 <unknown>
asn1crypto 0.24.0 py37_0
astroid 2.2.5 py37_0
astropy 3.1.2 py37h7b6447c_0
atomicwrites 1.3.0 py37_1
attrs 19.1.0 py37_1
babel 2.6.0 py37_0
backcall 0.1.0 py37_0
backports 1.0 py37_1
backports.os 0.1.1 py37_0
backports.shutil_get_terminal_size 1.0.0 py37_2
beautifulsoup4 4.7.1 py37_1
bitarray 0.8.3 py37h14c3975_0
bkcharts 0.2 py37_0
blas 1.0 mkl
bleach 3.1.0 py37_0
blosc 1.15.0 hd408876_0
bokeh 1.0.4 py37_0
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h035aef0_1
bzip2 1.0.6 h14c3975_5
ca-certificates 2019.1.23 0
cairo 1.14.12 h8948797_3
certifi 2019.3.9 py37_0
cffi 1.12.2 py37h2e261b9_1
chardet 3.0.4 py37_1
click 7.0 py37_0
cloudpickle 0.8.0 py37_0
clyent 1.2.2 py37_1
colorama 0.4.1 py37_0
conda 4.6.11 py37_0
conda-build 3.17.8 py37_0
conda-env 2.6.0 1
conda-verify 3.1.1 py37_0
contextlib2 0.5.5 py37_0
cryptography 2.6.1 py37h1ba5d50_0
curl 7.64.0 hbc83047_2
cycler 0.10.0 py37_0
cython 0.29.6 py37he6710b0_0
cytoolz 0.9.0.1 py37h14c3975_1
dask 1.1.4 py37_1
dask-core 1.1.4 py37_1
dbus 1.13.6 h746ee38_0
decorator 4.4.0 py37_1
defusedxml 0.5.0 py37_1
distributed 1.26.0 py37_1
docutils 0.14 py37_0
entrypoints 0.3 py37_0
et_xmlfile 1.0.1 py37_0
expat 2.2.6 he6710b0_0
fastcache 1.0.2 py37h14c3975_2
filelock 3.0.10 py37_0
flask 1.0.2 py37_1
fontconfig 2.13.0 h9420a91_0
freetype 2.9.1 h8a8886c_1
fribidi 1.0.5 h7b6447c_0
future 0.17.1 py37_0
get_terminal_size 1.0.0 haa9412d_0
gevent 1.4.0 py37h7b6447c_0
glib 2.56.2 hd408876_0
glob2 0.6 py37_1
gmp 6.1.2 h6c8ec71_1
gmpy2 2.0.8 py37h10f8cd9_2
graphite2 1.3.13 h23475e2_0
greenlet 0.4.15 py37h7b6447c_0
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb453b48_1
h5py 2.9.0 py37h7918eee_0
harfbuzz 1.8.8 hffaf4a1_0
hdf5 1.10.4 hb1b8bf9_0
hdfs3 0.3.1 py37_0 <unknown>
heapdict 1.0.0 py37_2
html5lib 1.0.1 py37_0
icu 58.2 h9c2bf20_1
idna 2.8 py37_0
imageio 2.5.0 py37_0
imagesize 1.1.0 py37_0
importlib_metadata 0.8 py37_0
intel-openmp 2019.3 199
ipykernel 5.1.0 py37h39e3cac_0
ipython 7.4.0 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.4.2 py37_0
isort 4.3.16 py37_0
itsdangerous 1.1.0 py37_0
jbig 2.1 hdba287a_0
jdcal 1.4 py37_0
jedi 0.13.3 py37_0
jeepney 0.4 py37_0
jinja2 2.10 py37_0
jpeg 9b h024ee3a_2
jsonschema 3.0.1 py37_0
jupyter 1.0.0 py37_7
jupyter_client 5.2.4 py37_0
jupyter_console 6.0.0 py37_0
jupyter_core 4.4.0 py37_0
jupyterlab 0.35.4 py37hf63ae98_0
jupyterlab_server 0.2.0 py37_0
keras 2.2.5 py36_1 file:///opt/custom-conda-channel
keyring 18.0.0 py37_0
kiwisolver 1.0.1 py37hf484d3e_0
krb5 1.16.1 h173b8e3_7
lazy-object-proxy 1.3.1 py37h14c3975_2
libarchive 3.3.3 h5d8350f_5
libcurl 7.64.0 h20c2e04_2
libedit 3.1.20181209 hc058e9b_0
libffi 3.2.1 hd88cf55_4
libgcc-ng 8.2.0 hdf63c60_1
libgfortran-ng 7.3.0 hdf63c60_0
libhdfs3 2.3.0 2 <unknown>
liblief 0.9.0 h7725739_2
libpng 1.6.36 hbc83047_0
libsodium 1.0.16 h1bed415_0
libssh2 1.8.0 h1ba5d50_4
libstdcxx-ng 8.2.0 hdf63c60_1
libtiff 4.0.10 h2733197_2
libtool 2.4.6 h7b6447c_5
libuuid 1.0.3 h1bed415_2
libxcb 1.13 h1bed415_1
libxml2 2.9.9 he19cac6_0
libxslt 1.1.33 h7d1a2b0_0
llvmlite 0.28.0 py37hd408876_0
locket 0.2.0 py37_1
lxml 4.3.2 py37hefd8a0e_0
lz4-c 1.8.1.2 h14c3975_0
lzo 2.10 h49e0be7_2
markupsafe 1.1.1 py37h7b6447c_0
matplotlib 3.0.3 py37h5429711_0
mccabe 0.6.1 py37_1
mistune 0.8.4 py37h7b6447c_0
mkl 2019.3 199
mkl-service 1.1.2 py37he904b0f_5
mkl_fft 1.0.10 py37ha843d7b_0
mkl_random 1.0.2 py37hd81dba3_0
more-itertools 6.0.0 py37_0
mpc 1.1.0 h10f8cd9_1
mpfr 4.0.1 hdf1c602_3
mpmath 1.1.0 py37_0
msgpack-python 0.6.1 py37hfd86e86_1
multipledispatch 0.6.0 py37_0
navigator-updater 0.2.1 py37_0
nbconvert 5.4.1 py37_3
nbformat 4.4.0 py37_0
ncurses 6.1 he6710b0_1
networkx 2.2 py37_1
nltk 3.4 py37_1
nose 1.3.7 py37_2
notebook 5.7.8 py37_0
numba 0.43.1 py37h962f231_0
numexpr 2.6.9 py37h9e4a6bb_0
numpy 1.16.2 py37h7e9f1db_0
numpy-base 1.16.2 py37hde5b4d6_0
numpydoc 0.8.0 py37_0
olefile 0.46 py37_0
openpyxl 2.6.1 py37_1
openssl 1.1.1b h7b6447c_1
packaging 19.0 py37_0
pandas 0.24.2 py37he6710b0_0
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py37_1
pango 1.42.4 h049681c_0
parso 0.3.4 py37_0
partd 0.3.10 py37_1
patchelf 0.9 he6710b0_3
path.py 11.5.0 py37_0
pathlib2 2.3.3 py37_0
patsy 0.5.1 py37_0
pcre 8.43 he6710b0_0
pep8 1.7.1 py37_0
pexpect 4.6.0 py37_0
pickleshare 0.7.5 py37_0
pillow 5.4.1 py37h34e0f95_0
pip 19.0.3 py37_0
pixman 0.38.0 h7b6447c_0
pkginfo 1.5.0.1 py37_0
pluggy 0.9.0 py37_0
ply 3.11 py37_0
prometheus_client 0.6.0 py37_0
prompt_toolkit 2.0.9 py37_0
psutil 5.6.1 py37h7b6447c_0
ptyprocess 0.6.0 py37_0
py 1.8.0 py37_0
py-lief 0.9.0 py37h7725739_2
pyarrow 0.14.1 py37h8b68381_2 <unknown>
pycodestyle 2.5.0 py37_0
pycosat 0.6.3 py37h14c3975_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37h14c3975_9
pycurl 7.43.0.2 py37h1ba5d50_0
pyflakes 2.1.1 py37_0
pygments 2.3.1 py37_0
pylint 2.3.1 py37_0
pyodbc 4.0.26 py37he6710b0_0
pyopenssl 19.0.0 py37_0
pyparsing 2.3.1 py37_0
pyqt 5.9.2 py37h05f1152_2
pyrsistent 0.14.11 py37h7b6447c_0
pysocks 1.6.8 py37_0
pytables 3.5.1 py37h71ec239_0
pytest 4.3.1 py37_0
pytest-arraydiff 0.3 py37h39e3cac_0
pytest-astropy 0.5.0 py37_0
pytest-doctestplus 0.3.0 py37_0
pytest-openfiles 0.3.2 py37_0
pytest-remotedata 0.3.1 py37_0
python 3.7.3 h0371630_0
python-dateutil 2.8.0 py37_0
python-libarchive-c 2.8 py37_6
pytz 2018.9 py37_0
pywavelets 1.0.2 py37hdd07704_0
pyyaml 5.1 py37h7b6447c_0
pyzmq 18.0.0 py37he6710b0_0
qt 5.9.7 h5867ecd_1
qtawesome 0.5.7 py37_1
qtconsole 4.4.3 py37_0
qtpy 1.7.0 py37_1
readline 7.0 h7b6447c_5
requests 2.21.0 py37_0
rope 0.12.0 py37_0
ruamel_yaml 0.15.46 py37h14c3975_0
scikit-image 0.14.2 py37he6710b0_0
scikit-learn 0.20.3 py37hd81dba3_0
scipy 1.2.1 py37h7c811a0_0
seaborn 0.9.0 py37_0
secretstorage 3.1.1 py37_0
send2trash 1.5.0 py37_0
setuptools 40.8.0 py37_0
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.8 py37hf484d3e_0
six 1.12.0 py37_0
snappy 1.1.7 hbae5bb6_3
snowballstemmer 1.2.1 py37_0
sortedcollections 1.1.2 py37_0
sortedcontainers 2.1.0 py37_0
soupsieve 1.8 py37_0
sphinx 1.8.5 py37_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-websupport 1.1.0 py37_1
spyder 3.3.3 py37_0
spyder-kernels 0.4.2 py37_0
sqlalchemy 1.3.1 py37h7b6447c_0
sqlite 3.27.2 h7b6447c_0
statsmodels 0.9.0 py37h035aef0_0
sympy 1.3 py37_0
tblib 1.3.2 py37_0
tensorflow 1.13.2 h76b4ce7_0 <unknown>
terminado 0.8.1 py37_1
testpath 0.4.2 py37_0
tk 8.6.8 hbc83047_0
toolz 0.9.0 py37_0
tornado 6.0.2 py37h7b6447c_0
tqdm 4.31.1 py37_1
traitlets 4.3.2 py37_0
unicodecsv 0.14.1 py37_0
unixodbc 2.3.7 h14c3975_0
urllib3 1.24.1 py37_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.14.1 py37_0
wheel 0.33.1 py37_0
widgetsnbextension 3.4.2 py37_0
wrapt 1.11.1 py37h7b6447c_0
wurlitzer 1.0.2 py37_0
xlrd 1.2.0 py37_0
xlsxwriter 1.1.5 py37_0
xlwt 1.3.0 py37_0
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
zeromq 4.3.1 he6710b0_3
zict 0.1.4 py37_0
zipp 0.3.3 py37_1
zlib 1.2.11 h7b6447c_3
zstd 1.3.7 h0b5b093_0
Updated pyarrow and arrow to 0.15
(base1) [XXXX#XXX-XXX-XXX goel]# conda list arrow
WARNING: The conda.compat module is deprecated and will be removed in a future release.
# packages in environment at /opt/anaconda2/envs/base1:
#
# Name Version Build Channel
arrow 0.15.3 py37_0 <unknown>
arrow-cpp 0.15.0 py37h090bef1_2 <unknown>
pyarrow 0.15.1 py37h8b68381_0 <unknown>
Updated Error Result:
(base1) [XXXX#XXX-XXX-XXX goel]# python -c "import pyarrow"
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/opt/anaconda2/envs/base1/lib/python3.7/site-packages/pyarrow/__init__.py", line 49, in <module>
from pyarrow.lib import cpu_count, set_cpu_count
**ImportError: libglog.so.0: cannot open shared object file: No such file or directory**
Note: I can see it looks like issue with the shared object file path.
Thanks in Advance,
Goel
You have installed pyarrow=0.14.1 while arrow-cpp=0.15.0. The versions of these libraries need to be the same.
I've downgraded numpy from 1.16.1 to 1.15.1 in my conda environment (fastai_07), but I'm still getting the numpy 1.16.1:
(fastai_07) robin#xps:~/github/fastai$ python
Python 3.6.8 |Anaconda, Inc.| (default, Dec 30 2018, 01:22:34)
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> numpy.version.version
'1.16.1'
That's what I did:
(fastai_07) robin#xps:~/github/fastai$ conda install numpy=1.15.1
WARNING: The conda.compat module is deprecated and will be removed in a future release.
Collecting package metadata: done
Solving environment: done
## Package Plan ##
environment location: /home/robin/anaconda3/envs/fastai_07
added / updated specs:
- numpy=1.15.1
The following packages will be downloaded:
package | build
---------------------------|-----------------
numpy-1.15.1 | py36h3b04361_0 37 KB
numpy-base-1.15.1 | py36h81de0dd_0 4.2 MB
------------------------------------------------------------
Total: 4.2 MB
The following packages will be SUPERSEDED by a higher-priority channel:
spacy fastai::spacy-2.0.18-py36hf484d3e_1000 --> pkgs/main::spacy-2.0.16-py36h962f231_0
The following packages will be DOWNGRADED:
mkl 2019.3-199 --> 2018.0.3-1
mkl_fft 1.0.10-py36ha843d7b_0 --> 1.0.6-py36h7dd41cf_0
mkl_random 1.0.2-py36hd81dba3_0 --> 1.0.1-py36h4414c95_1
numexpr 2.6.9-py36h9e4a6bb_0 --> 2.6.8-py36hd89afb7_0
numpy 1.16.2-py36h7e9f1db_0 --> 1.15.1-py36h3b04361_0
numpy-base 1.16.2-py36hde5b4d6_0 --> 1.15.1-py36h81de0dd_0
scipy 1.2.1-py36h7c811a0_0 --> 1.1.0-py36hfa4b5c9_1
Proceed ([y]/n)? y
Downloading and Extracting Packages
numpy-base-1.15.1 | 4.2 MB | ################################################################################################################################################################# | 100%
numpy-1.15.1 | 37 KB | ################################################################################################################################################################# | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
which python, gives:
(fastai_07) robin#xps:~/github/fastai$ which python
/home/robin/anaconda3/envs/fastai_07/bin/python
and conda list:
(fastai_07) robin#xps:~/github/fastai$ conda list
WARNING: The conda.compat module is deprecated and will be removed in a future release.
# packages in environment at /home/robin/anaconda3/envs/fastai_07:
#
# Name Version Build Channel
asn1crypto 0.24.0 py36_0
attrs 19.1.0 py36_1
backcall 0.1.0 py36_0
backports 1.0 py36_1
backports.os 0.1.1 py36_0
bcolz 1.2.1 py36h04863e7_0
beautifulsoup4 4.6.3 pypi_0 pypi
blas 1.0 mkl
bleach 3.1.0 py36_0
blosc 1.15.0 hd408876_0
bokeh 1.0.4 py36_0
bzip2 1.0.6 h14c3975_5
ca-certificates 2019.1.23 0
certifi 2019.3.9 py36_0
cffi 1.12.2 py36h2e261b9_1
chardet 3.0.4 py36_1
click 7.0 py36_0
cliff 2.8.2 pypi_0 pypi
cloudpickle 0.8.0 py36_0
cmd2 0.9.11 pypi_0 pypi
colorama 0.4.1 pypi_0 pypi
configparser 3.7.4 pypi_0 pypi
cryptography 2.6.1 py36h1ba5d50_0
cssselect 1.0.3 pypi_0 pypi
cuda90 1.0 h6433d27_0 pytorch
cudatoolkit 10.0.130 0
cudnn 7.3.1 cuda10.0_0
cycler 0.10.0 py36_0
cymem 2.0.2 py36hfd86e86_0
cython 0.29.6 py36he6710b0_0
cytoolz 0.9.0.1 py36h14c3975_1
dask 1.1.4 py36_1
dask-core 1.1.4 py36_1
dbus 1.13.6 h746ee38_0
decorator 4.4.0 py36_1
defusedxml 0.5.0 py36_1
descartes 1.1.0 pypi_0 pypi
dill 0.2.9 py36_0
distributed 1.26.0 py36_0
entrypoints 0.3 py36_0
expat 2.2.6 he6710b0_0
feather-format 0.4.0 pypi_0 pypi
fontconfig 2.13.0 h9420a91_0
freetype 2.9.1 h8a8886c_1
glib 2.56.2 hd408876_0
gmp 6.1.2 h6c8ec71_1
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb453b48_1
hdf5 1.10.4 hb1b8bf9_0
heapdict 1.0.0 py36_2
html5lib 1.0.1 py36_0
icu 58.2 h9c2bf20_1
idna 2.8 py36_0
importlib_metadata 0.8 py36_0
intel-openmp 2019.3 199
ipykernel 5.1.0 py36h39e3cac_0
ipython 7.4.0 py36h39e3cac_0
ipython_genutils 0.2.0 py36_0
ipywidgets 7.4.2 py36_0
isoweek 1.3.3 pypi_0 pypi
jedi 0.13.3 py36_0
jinja2 2.10 py36_0
jpeg 9b h024ee3a_2
jsonschema 3.0.1 py36_0
jupyter 1.0.0 py36_7
jupyter_client 5.2.4 py36_0
jupyter_console 6.0.0 py36_0
jupyter_core 4.4.0 py36_0
kaggle-cli 0.12.13 pypi_0 pypi
kiwisolver 1.0.1 py36hf484d3e_0
libedit 3.1.20181209 hc058e9b_0
libffi 3.2.1 hd88cf55_4
libgcc-ng 8.2.0 hdf63c60_1
libgfortran-ng 7.3.0 hdf63c60_0
libiconv 1.15 h63c8f33_5
libpng 1.6.36 hbc83047_0
libsodium 1.0.16 h1bed415_0
libstdcxx-ng 8.2.0 hdf63c60_1
libtiff 4.0.10 h2733197_2
libuuid 1.0.3 h1bed415_2
libxcb 1.13 h1bed415_1
libxml2 2.9.9 he19cac6_0
locket 0.2.0 py36_1
lxml 4.0.0 pypi_0 pypi
lzo 2.10 h49e0be7_2
markupsafe 1.1.1 py36h7b6447c_0
matplotlib 3.0.3 pypi_0 pypi
mechanicalsoup 0.8.0 pypi_0 pypi
mistune 0.8.4 py36h7b6447c_0
mizani 0.5.4 pypi_0 pypi
mkl 2018.0.3 1
mkl_fft 1.0.6 py36h7dd41cf_0
mkl_random 1.0.1 py36h4414c95_1
msgpack-numpy 0.4.3.2 py36_0
msgpack-python 0.6.1 py36hfd86e86_1
murmurhash 1.0.2 py36he6710b0_0
nbconvert 5.4.1 py36_3
nbformat 4.4.0 py36_0
ncurses 6.1 he6710b0_1
notebook 5.7.8 py36_0
numexpr 2.6.8 py36hd89afb7_0
numpy 1.15.1 py36h3b04361_0
numpy-base 1.15.1 py36h81de0dd_0
olefile 0.46 py36_0
openssl 1.1.1b h7b6447c_1
packaging 19.0 py36_0
palettable 3.1.1 pypi_0 pypi
pandas 0.24.2 py36he6710b0_0
pandas-summary 0.0.5 pypi_0 pypi
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py36_1
parso 0.3.4 py36_0
partd 0.3.10 py36_1
path.py 11.5.0 py36_0
patsy 0.5.1 py36_0
pbr 5.1.3 pypi_0 pypi
pcre 8.43 he6710b0_0
pdpbox 0.1 pypi_0 pypi
pexpect 4.6.0 py36_0
pickleshare 0.7.5 py36_0
pillow 5.4.1 py36h34e0f95_0
pip 19.0.3 py36_0
plac 0.9.6 py36_0
plotnine 0.5.1 pypi_0 pypi
preshed 2.0.1 py36he6710b0_0
prettytable 0.7.2 pypi_0 pypi
progressbar2 3.34.3 pypi_0 pypi
prometheus_client 0.6.0 py36_0
prompt_toolkit 2.0.9 py36_0
psutil 5.6.1 py36h7b6447c_0
ptyprocess 0.6.0 py36_0
pyarrow 0.13.0 pypi_0 pypi
pycparser 2.19 py36_0
pygments 2.3.1 py36_0
pyhamcrest 1.9.0 pypi_0 pypi
pyopenssl 19.0.0 py36_0
pyparsing 2.3.1 py36_0
pyperclip 1.7.0 pypi_0 pypi
pyqt 5.9.2 py36h05f1152_2
pyrsistent 0.14.11 py36h7b6447c_0
pysocks 1.6.8 py36_0
pytables 3.5.1 py36h71ec239_0
python 3.6.8 h0371630_0
python-dateutil 2.8.0 py36_0
python-graphviz 0.10.1 pypi_0 pypi
python-utils 2.3.0 pypi_0 pypi
pytorch 0.3.1 py36_cuda9.0.176_cudnn7.0.5_2 [cuda90] pytorch
pytz 2018.9 py36_0
pyyaml 5.1 py36h7b6447c_0
pyzmq 18.0.0 py36he6710b0_0
qt 5.9.7 h5867ecd_1
qtconsole 4.4.3 py36_0
readline 7.0 h7b6447c_5
regex 2018.01.10 py36h14c3975_1000 fastai
requests 2.21.0 py36_0
scikit-learn 0.20.3 pypi_0 pypi
scikit-misc 0.1.1 pypi_0 pypi
scipy 1.1.0 py36hd20e5f9_0
seaborn 0.9.0 py36_0
send2trash 1.5.0 py36_0
setuptools 40.8.0 py36_0
simplegeneric 0.8.1 py36_2
sip 4.19.8 py36hf484d3e_0
six 1.12.0 py36_0
sklearn-pandas 1.8.0 pypi_0 pypi
snappy 1.1.7 hbae5bb6_3
sortedcontainers 2.1.0 py36_0
spacy 2.0.16 py36h962f231_0
sqlite 3.27.2 h7b6447c_0
statsmodels 0.9.0 py36h035aef0_0
stevedore 1.30.1 pypi_0 pypi
tblib 1.3.2 py36_0
terminado 0.8.1 py36_1
testfixtures 6.6.0 py_0
testpath 0.4.2 py36_0
thinc 6.12.1 py36h637b7d7_1000 fastai
tk 8.6.8 hbc83047_0
toolz 0.9.0 py36_0
torchtext 0.2.3 pypi_0 pypi
torchvision 0.1.9 pypi_0 pypi
tornado 4.5.3 py36_0
tqdm 4.31.1 py36_1
traitlets 4.3.2 py36_0
ujson 1.35 py36h14c3975_0
urllib3 1.24.1 py36_0
wcwidth 0.1.7 py36_0
webencodings 0.5.1 py36_1
wheel 0.33.1 py36_0
widgetsnbextension 3.4.2 py36_0
wrapt 1.10.11 py36h14c3975_2
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
zeromq 4.3.1 he6710b0_3
zict 0.1.4 py36_0
zipp 0.3.3 py36_1
zlib 1.2.11 h7b6447c_3
zstd 1.3.7 h0b5b093_0
Could you please help me make the numpy 1.15.1 working for this environment?
*Please let me know if the provided information is sufficient.
EDIT: #merv:
after pip install numpy=1.15.1
(base) robin#xps:~$ conda activate fastai07
(fastai07) robin#xps:~$ python
Python 3.6.8 |Anaconda, Inc.| (default, Dec 30 2018, 01:22:34)
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> numpy.__spec__
ModuleSpec(name='numpy', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7fb3a68cefd0>, origin='/home/robin/anaconda3/envs/fastai07/lib/python3.6/site-packages/numpy/__init__.py', submodule_search_locations=['/home/robin/anaconda3/envs/fastai07/lib/python3.6/site-packages/numpy'])
I'm happy that it works now. Thanks!
When I try to launch Orange3 version 3.15 from Anaconda 1.8.7, it will not lauch due to the following error:
Traceback (most recent call last):
File "C:\Users\Jason\Anaconda3\Scripts\orange-canvas-script.py", line 6, in
from Orange.canvas.__main__ import main
File "C:\Users\Jason\Anaconda3\lib\site-packages\Orange\canvas\__main__.py", line 30, in
from Orange.canvas.application.canvasmain import CanvasMainWindow
File "C:\Users\Jason\Anaconda3\lib\site-packages\Orange\canvas\application\canvasmain.py", line 61, in
from .canvastooldock import CanvasToolDock, QuickCategoryToolbar, \
File "C:\Users\Jason\Anaconda3\lib\site-packages\Orange\canvas\application\canvastooldock.py", line 25, in
from ..document.quickmenu import MenuPage
File "C:\Users\Jason\Anaconda3\lib\site-packages\Orange\canvas\document\__init__.py", line 17, in
from .schemeedit import SchemeEditWidget
File "C:\Users\Jason\Anaconda3\lib\site-packages\Orange\canvas\document\schemeedit.py", line 37, in
from .suggestions import Suggestions
File "C:\Users\Jason\Anaconda3\lib\site-packages\Orange\canvas\document\suggestions.py", line 7, in
from .interactions import NewLinkAction
File "C:\Users\Jason\Anaconda3\lib\site-packages\Orange\canvas\document\interactions.py", line 28, in
from ..canvas import items
File "C:\Users\Jason\Anaconda3\lib\site-packages\Orange\canvas\canvas\items\__init__.py", line 9, in
from .annotationitem import TextAnnotation, ArrowAnnotation
File "C:\Users\Jason\Anaconda3\lib\site-packages\Orange\canvas\canvas\items\annotationitem.py", line 7, in
import CommonMark
ModuleNotFoundError: No module named 'CommonMark'
When I try > conda install CommonMark, conda says that it is already installed. I have the following list of packages:
_ipyw_jlab_nb_ext_conf 0.1.0 py36he6757f0_0
_nb_ext_conf 0.4.0 py36_1
alabaster 0.7.10 py36hcd07829_0
anaconda-client 1.6.14 py36_0
anaconda-navigator 1.8.7 py36_0
anaconda-project 0.8.2 py36hfad2e28_0
anyqt 0.0.8 py36_1
asn1crypto 0.24.0 py36_0
astroid 1.6.3 py36_0
astropy 3.0.2 py36h452e1ab_1
attrs 18.1.0 py36_0
babel 2.5.3 py36_0
backcall 0.1.0 py36_0
backports 1.0 py36h81696a8_1
backports.shutil_get_terminal_size 1.0.0 py36h79ab834_2
beautifulsoup4 4.6.0 py36hd4cc5e8_1
bitarray 0.8.1 py36hfa6e2cd_1
bkcharts 0.2 py36h7e685f7_0
blas 1.0 mkl
blaze 0.11.3 py36h8a29ca5_0
bleach 2.1.3 py36_0
blosc 1.14.3 he51fdeb_0
bokeh 0.12.16 py36_0
boto 2.48.0 py36h1a776d2_1
bottleneck 1.2.1 py36hd119dfa_0
bzip2 1.0.6 hfa6e2cd_5
ca-certificates 2018.03.07 0
certifi 2018.8.24 py36_1
cffi 1.11.5 py36h945400d_0
chardet 3.0.4 py36h420ce6e_1
click 6.7 py36hec8c647_0
click-plugins 1.0.3 py36_1
cligj 0.4.0 py36_1
cloudpickle 0.5.3 py36_0
clyent 1.2.2 py36hb10d595_1
colorama 0.3.9 py36h029ae33_0
commonmark 0.8.1 py36_0
comtypes 1.1.4 py36_0
conda 4.5.11 py36_0
conda-build 3.10.5 py36_0
conda-env 2.6.0 h36134e3_1
conda-verify 2.0.0 py36h065de53_0
console_shortcut 0.1.1 h6bb2dd7_3
contextlib2 0.5.5 py36he5d52c0_0
cryptography 2.2.2 py36hfa6e2cd_0
curl 7.60.0 h7602738_0
cycler 0.10.0 py36h009560c_0
cython 0.28.2 py36hfa6e2cd_0
cytoolz 0.9.0.1 py36hfa6e2cd_0
dask 0.17.5 py36_0
dask-core 0.17.5 py36_0
datashape 0.5.4 py36h5770b85_0
decorator 4.3.0 py36_0
descartes 1.1.0 py36_0
dill 0.2.8.2 py36_0
distributed 1.21.8 py36_0
docutils 0.14 py36h6012d8f_0
entrypoints 0.2.3 py36hfd66bb0_2
et_xmlfile 1.0.1 py36h3d2d736_0
expat 2.2.5 he025d50_0
fast-histogram 0.5 py36h452e1ab_1
fastcache 1.0.2 py36hfa6e2cd_2
filelock 3.0.4 py36_0
fiona 1.7.10 py36h5bf8d1d_0
flask 1.0.2 py36_1
flask-cors 3.0.4 py36_0
freetype 2.8 h51f8f2c_1
freexl 1.0.5 hfa6e2cd_0
future 0.16.0 py36_2
gdal 2.2.2 py36hcebd033_1
geopandas 0.3.0 py36_0
geos 3.6.2 h9ef7328_2
get_terminal_size 1.0.0 h38e98db_0
gevent 1.3.0 py36hfa6e2cd_0
glob2 0.6 py36hdf76b57_0
glue-core 0.13.3 py36_0
glue-vispy-viewers 0.10 py36_0
glueviz 0.13.3 0
greenlet 0.4.13 py36hfa6e2cd_0
h5py 2.8.0 py36hf7173ca_0
hdf4 4.2.13 h712560f_2
hdf5 1.8.18 hcf527f2_1
heapdict 1.0.0 py36_2
html5lib 1.0.1 py36h047fa9f_0
icc_rt 2017.0.4 h97af966_0
icu 58.2 ha66f8fd_1
idna 2.6 py36h148d497_1
imageio 2.3.0 py36_0
imagesize 1.0.0 py36_0
intel-openmp 2018.0.0 8
ipykernel 4.8.2 py36_0
ipython 6.4.0 py36_0
ipython_genutils 0.2.0 py36h3c5d0ee_0
ipywidgets 7.2.1 py36_0
isort 4.3.4 py36_0
itsdangerous 0.24 py36hb6c5a24_1
jdcal 1.4 py36_0
jedi 0.12.0 py36_1
jinja2 2.10 py36h292fed1_0
joblib 0.12.3 py36_0
jpeg 9b hb83a4c4_2
jsonschema 2.6.0 py36h7636477_0
jupyter 1.0.0 py36_4
jupyter_client 5.2.3 py36_0
jupyter_console 5.2.0 py36h6d89b47_1
jupyter_core 4.4.0 py36h56e9d50_0
jupyterlab 0.32.1 py36_0
jupyterlab_launcher 0.10.5 py36_0
kealib 1.4.7 h1834499_5
keyring 13.2.1 py36_0
keyrings.alt 3.1 py36_0
kiwisolver 1.0.1 py36h12c3424_0
krb5 1.16.1 h038dc86_6
lazy-object-proxy 1.3.1 py36hd1c21d2_0
libboost 1.67.0 hd9e427e_4
libcurl 7.60.0 hc4dcbb0_0
libgdal 2.2.2 h309aa3f_1
libiconv 1.15 h1df5818_7
libkml 1.3.0 he5f2a48_4
libnetcdf 4.4.1.1 hf30bd8e_8
libpng 1.6.34 h79bbb47_0
libpq 10.5 h5fe2233_0
libsodium 1.0.16 h9d3ae62_0
libspatialindex 1.8.5 h6538335_2
libspatialite 4.3.0a h383548d_18
libssh2 1.8.0 hd619d38_4
libtiff 4.0.9 hb8ad9f9_1
libxml2 2.9.8 hadb2253_1
libxslt 1.1.32 hf6f1972_0
llvmlite 0.23.1 py36hcacf6c6_0
locket 0.2.0 py36hfed976d_1
lxml 4.2.1 py36heafd4d3_0
lzo 2.10 h6df0209_2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markupsafe 1.0 py36h0e26971_1
matplotlib 2.2.2 py36h153e9ff_1
mccabe 0.6.1 py36hb41005a_1
menuinst 1.4.14 py36hfa6e2cd_0
mistune 0.8.3 py36hfa6e2cd_1
mkl 2018.0.2 1
mkl-service 1.1.2 py36h57e144c_4
mkl_fft 1.0.1 py36h452e1ab_0
mkl_random 1.0.1 py36h9258bd6_0
more-itertools 4.1.0 py36_0
mpl-scatter-density 0.4 py36_0
mpmath 1.0.0 py36hacc8adf_2
msgpack-python 0.5.6 py36he980bc4_0
msys2-conda-epoch 20160418 1
multipledispatch 0.5.0 py36_0
munch 2.3.2 py36_0
navigator-updater 0.2.1 py36_0
nb_anacondacloud 1.4.0 py36_0
nb_conda 2.2.1 py36_0
nb_conda_kernels 2.1.0 py36_0
nbconvert 5.3.1 py36h8dc0fde_0
nbformat 4.4.0 py36h3a5bc1b_0
nbpresent 3.0.2 py36_0
networkx 2.1 py36_0
nltk 3.3.0 py36_0
nose 1.3.7 py36h1c3779e_2
notebook 5.5.0 py36_0
numba 0.38.0 py36h830ac7b_0
numexpr 2.6.5 py36hcd2f87e_0
numpy 1.14.3 py36h9fa60d3_1
numpy-base 1.14.3 py36h555522e_1
numpydoc 0.8.0 py36_0
odo 0.5.1 py36h7560279_0
olefile 0.45.1 py36_0
openjpeg 2.3.0 h5ec785f_1
openpyxl 2.5.3 py36_0
openssl 1.0.2p hfa6e2cd_0
orange3 3.15.0 py36h830ac7b_0
packaging 17.1 py36_0
pandas 0.23.0 py36h830ac7b_0
pandoc 1.19.2.1 hb2460c7_1
pandocfilters 1.4.2 py36h3ef6317_1
parso 0.2.0 py36_0
partd 0.3.8 py36hc8e763b_0
path.py 11.0.1 py36_0
pathlib2 2.3.2 py36_0
patsy 0.5.0 py36_0
pep8 1.7.1 py36_0
pickleshare 0.7.4 py36h9de030f_0
pillow 5.1.0 py36h0738816_0
pip 10.0.1 py36_0
pkginfo 1.4.2 py36_1
plotly 3.1.1 py36h28b3542_0
pluggy 0.6.0 py36hc7daf1e_0
ply 3.11 py36_0
proj4 4.9.3 hcf24537_7
prompt_toolkit 1.0.15 py36h60b8f86_0
psutil 5.4.5 py36hfa6e2cd_0
psycopg2 2.7.5 py36h74b6da3_0
py 1.5.3 py36_0
pycodestyle 2.4.0 py36_0
pycosat 0.6.3 py36h413d8a4_0
pycparser 2.18 py36hd053e01_1
pycrypto 2.6.1 py36hfa6e2cd_8
pycurl 7.43.0.1 py36h74b6da3_0
pyflakes 1.6.0 py36h0b975d6_0
pygments 2.2.0 py36hb010967_0
pylint 1.8.4 py36_0
pyodbc 4.0.23 py36h6538335_0
pyopengl 3.1.1a1 py36_0
pyopenssl 18.0.0 py36_0
pyparsing 2.2.0 py36h785a196_1
pyproj 1.9.5.1 py36_0
pyqt 5.9.2 py36ha878b3d_0
pyqtgraph 0.10.0 py36h28b3542_3
pyreadline 2.1 py36_1
pysal 1.14.4.post1 py36_1
pysocks 1.6.8 py36_0
pytables 3.4.4 py36h0f9c03a_0
pytest 3.5.1 py36_0
pytest-arraydiff 0.2 py36_0
pytest-astropy 0.3.0 py36_0
pytest-doctestplus 0.1.3 py36_0
pytest-openfiles 0.3.0 py36_0
pytest-remotedata 0.2.1 py36_0
python 3.6.5 h0c2934d_0
python-dateutil 2.7.3 py36_0
python-louvain 0.11 py36h28b3542_0
pytz 2018.4 py36_0
pywavelets 0.5.2 py36hc649158_0
pywin32 223 py36hfa6e2cd_1
pywinpty 0.5.1 py36_0
pyyaml 3.12 py36h1d1928f_1
pyzmq 17.0.0 py36hfa6e2cd_1
qt 5.9.6 vc14h62aca36_0
qtawesome 0.4.4 py36h5aa48f6_0
qtconsole 4.3.1 py36h99a29a9_0
qtpy 1.4.1 py36_0
requests 2.18.4 py36h4371aae_1
retrying 1.3.3 py36_2
rope 0.10.7 py36had63a69_0
rtree 0.8.3 py36_0
ruamel_yaml 0.15.35 py36hfa6e2cd_1
scikit-image 0.13.1 py36hfa6e2cd_1
scikit-learn 0.19.1 py36h53aea1b_0
scipy 1.1.0 py36h672f292_0
seaborn 0.8.1 py36h9b69545_0
send2trash 1.5.0 py36_0
serverfiles 0.2.1 py36_0
setuptools 39.1.0 py36_0
shapely 1.6.4 py36hc90234e_0
simplegeneric 0.8.1 py36_2
singledispatch 3.4.0.3 py36h17d0c80_0
sip 4.19.8 py36h6538335_0
six 1.11.0 py36h4db2310_1
snappy 1.1.7 h777316e_3
snowballstemmer 1.2.1 py36h763602f_0
sortedcollections 0.6.1 py36_0
sortedcontainers 1.5.10 py36_0
sphinx 1.7.4 py36_0
sphinxcontrib 1.0 py36hbbac3d2_1
sphinxcontrib-websupport 1.0.1 py36hb5e5916_1
spyder 3.3.1 py36_1
spyder-kernels 0.2.6 py36_0
sqlalchemy 1.2.7 py36ha85dd04_0
sqlite 3.23.1 h35aae40_0
statsmodels 0.9.0 py36h452e1ab_0
sympy 1.1.1 py36h96708e0_0
tblib 1.3.2 py36h30f5020_0
terminado 0.8.1 py36_1
testpath 0.3.1 py36h2698cfe_0
tk 8.6.7 hcb92d03_3
toolz 0.9.0 py36_0
tornado 5.0.2 py36_0
traitlets 4.3.2 py36h096827d_0
typing 3.6.4 py36_0
unicodecsv 0.14.1 py36h6450c06_0
urllib3 1.22 py36h276f60a_0
vc 14 h0510ff6_3
vs2015_runtime 14.0.25123 3
wcwidth 0.1.7 py36h3d5aa90_0
webencodings 0.5.1 py36h67c50ae_1
werkzeug 0.14.1 py36_0
wheel 0.31.1 py36_0
widgetsnbextension 3.2.1 py36_0
win_inet_pton 1.0.1 py36he67d7fd_1
win_unicode_console 0.5 py36hcdbd4b5_0
wincertstore 0.2 py36h7fe50ca_0
winpty 0.4.3 4
wrapt 1.10.11 py36he5f5981_0
xerces-c 3.2.1 h27bfe9a_0
xlrd 1.1.0 py36h1cb58dc_1
xlsxwriter 1.0.4 py36_0
xlwings 0.11.8 py36_0
xlwt 1.3.0 py36h1a4751e_0
xz 5.2.4 h2fa13f4_4
yaml 0.1.7 hc54c509_2
zeromq 4.2.5 hc6251cf_0
zict 0.1.3 py36h2d8e73e_0
zlib 1.2.11 h8395fce_2
I notice the caps of CommonMark vs commonmark are different, but trying to install CommonMark does not fix the issue.
I just filed a bug for this, it appears to be a problem with commonmark 0.8.1 Installing any version of commonmark from 0.5.5 to 0.8.0 should allow you to work around this.
pip install commonmark==0.8.0
Then run orange as usual:
python -m Orange.canvas
Go, Anaconda3\Lib\site-packages\ and search for CommonMark, if search result present as commonmark then rename commonmark folder as CommonMark. and then launch orange -canvas, it will solve a problem.
Using anaconda 3.6 under Windows, this program when executed from an anaconda console
python simple_plot.py
runs, but nothing displays:
#file simple_plot.py
import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4])
plt.show()
If I add
%matplotlib inline
and run the program:
python simple_plot.py
(base) C:\Users\idf\Documents\Python Scripts>python simple_plot.py
File "simple_plot.py", line 3
%matplotlib inline
^
SyntaxError: invalid syntax
If I run this program
(base) C:\Users\idf\Documents\Python Scripts>python -c "import matplotlib; print(matplotlib.get_backend())"
I get the output:
Qt5Agg
Not even simple print statements work once I include:
import matplotlib.pyplot as plt
print("hello world") #nothing shows on console
Output of conda list
(base) C:\Users\idf\Documents\Python Scripts>conda list
# packages in environment at C:\Users\Ivan Figueredo\Anaconda:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py36he6757f0_0
absl-py 0.3.0 py36_0 anaconda
absl-py 0.2.2 <pip>
aiohttp 3.2.1 <pip>
alabaster 0.7.10 py36hcd07829_0
anaconda-client 1.6.14 py36_0
anaconda-navigator 1.8.7 py36_0
anaconda-project 0.8.2 py36hfad2e28_0
appdirs 1.4.3 <pip>
asn1crypto 0.24.0 py36_0
astor 0.6.2 py36_1 anaconda
astor 0.6.2 <pip>
astroid 1.6.3 py36_0
astropy 3.0.2 py36h452e1ab_1
async-timeout 3.0.0 <pip>
attrs 18.1.0 py36_0
babel 2.5.3 py36_0
backcall 0.1.0 py36_0
backports 1.0 py36h81696a8_1
backports.shutil_get_terminal_size 1.0.0 py36h79ab834_2
bazel 0.14.0 h6538335_0
beautifulsoup4 4.6.0 py36hd4cc5e8_1
bitarray 0.8.1 py36hfa6e2cd_1
bkcharts 0.2 py36h7e685f7_0
blas 1.0 mkl
blaze 0.11.3 py36h8a29ca5_0
bleach 1.5.0 <pip>
bleach 1.5.0 py36_0 anaconda
blosc 1.14.3 he51fdeb_0
bokeh 0.12.16 py36_0
boto 2.48.0 py36h1a776d2_1
bottleneck 1.2.1 py36hd119dfa_0
bzip2 1.0.6 hfa6e2cd_5
ca-certificates 2018.03.07 0
certifi 2018.4.16 py36_0
cffi 1.11.5 py36h945400d_0
chardet 3.0.4 py36h420ce6e_1
click 6.7 py36hec8c647_0
cloudpickle 0.5.3 py36_0
clyent 1.2.2 py36hb10d595_1
colorama 0.3.9 py36h029ae33_0
comtypes 1.1.4 py36_0
conda 4.5.8 py36_0
conda-build 3.10.5 py36_0
conda-env 2.6.0 h36134e3_1
conda-verify 2.0.0 py36h065de53_0
console_shortcut 0.1.1 h6bb2dd7_3
contextlib2 0.5.5 py36he5d52c0_0
coverage 4.5.1 <pip>
cryptography 2.2.2 py36hfa6e2cd_0
cuda91 1.0 0 pytorch
cudatoolkit 9.0 1
cudnn 7.1.4 cuda9.0_0 anaconda
curl 7.60.0 h7602738_0
cycler 0.10.0 py36h009560c_0
cython 0.28.2 py36hfa6e2cd_0
cytoolz 0.9.0.1 py36hfa6e2cd_0
dask 0.17.5 py36_0
dask-core 0.17.5 py36_0
dataclasses 0.6 <pip>
datashape 0.5.4 py36h5770b85_0
decorator 4.3.0 py36_0
distributed 1.21.8 py36_0
docutils 0.14 py36h6012d8f_0
easygui 0.98.1 <pip>
entrypoints 0.2.3 py36hfd66bb0_2
et_xmlfile 1.0.1 py36h3d2d736_0
fastcache 1.0.2 py36hfa6e2cd_2
filelock 3.0.4 py36_0
flask 1.0.2 py36_1
flask-cors 3.0.4 py36_0
freetype 2.8 h51f8f2c_1
future 0.16.0 <pip>
gast 0.2.0 py36_0 anaconda
gast 0.2.0 <pip>
get_terminal_size 1.0.0 h38e98db_0
gevent 1.3.0 py36hfa6e2cd_0
glob2 0.6 py36hdf76b57_0
greenlet 0.4.13 py36hfa6e2cd_0
grpcio 1.13.0 <pip>
grpcio 1.12.1 py36h1a1b453_0 anaconda
gym 0.10.5 <pip>
h5py 2.7.1 py36h3bdd7fb_2
hdf5 1.10.2 hac2f561_1
heapdict 1.0.0 py36_2
html5lib 0.9999999 py36_0 anaconda
html5lib 0.9999999 <pip>
ibpy2 0.8.0 py36_0 tibkiss
icc_rt 2017.0.4 h97af966_0
icu 58.2 ha66f8fd_1
idna 2.6 py36h148d497_1
idna-ssl 1.1.0 <pip>
imageio 2.3.0 py36_0
imagesize 1.0.0 py36_0
intel-openmp 2018.0.0 8
ipykernel 4.8.2 py36_0
ipython 6.4.0 py36_0
ipython_genutils 0.2.0 py36h3c5d0ee_0
ipywidgets 7.2.1 py36_0
isort 4.3.4 py36_0
itsdangerous 0.24 py36hb6c5a24_1
jdcal 1.4 py36_0
jedi 0.12.0 py36_1
jinja2 2.10 py36h292fed1_0
jpeg 9b hb83a4c4_2
jsonschema 2.6.0 py36h7636477_0
jupyter 1.0.0 py36_4
jupyter_client 5.2.3 py36_0
jupyter_console 5.2.0 py36h6d89b47_1
jupyter_core 4.4.0 py36h56e9d50_0
jupyterlab 0.32.1 py36_0
jupyterlab_launcher 0.10.5 py36_0
kiwisolver 1.0.1 py36h12c3424_0
lapack 3.6.1 1 conda-forge
lazy-object-proxy 1.3.1 py36hd1c21d2_0
libcurl 7.60.0 hc4dcbb0_0
libiconv 1.15 h1df5818_7
libpng 1.6.34 h79bbb47_0
libprotobuf 3.5.2 he0781b1_0 anaconda
libsodium 1.0.16 h9d3ae62_0
libssh2 1.8.0 hd619d38_4
libtiff 4.0.9 hb8ad9f9_1
libxml2 2.9.8 hadb2253_1
libxslt 1.1.32 hf6f1972_0
llvmlite 0.23.1 py36hcacf6c6_0
locket 0.2.0 py36hfed976d_1
logger 1.4 <pip>
lxml 4.2.1 py36heafd4d3_0
lzo 2.10 h6df0209_2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markdown 2.6.11 py36_0 anaconda
Markdown 2.6.11 <pip>
markupsafe 1.0 py36h0e26971_1
matplotlib 2.2.2 py36h153e9ff_1
mccabe 0.6.1 py36hb41005a_1
menuinst 1.4.14 py36hfa6e2cd_0
mistune 0.8.3 py36hfa6e2cd_1
mkl 2018.0.2 1
mkl-service 1.1.2 py36h57e144c_4
mkl_fft 1.0.1 py36h452e1ab_0
mkl_random 1.0.1 py36h9258bd6_0
more-itertools 4.1.0 py36_0
mpmath 1.0.0 py36hacc8adf_2
msgpack-python 0.5.6 py36he980bc4_0
msys2-conda-epoch 20160418 1
multidict 4.3.1 <pip>
multipledispatch 0.5.0 py36_0
navigator-updater 0.2.1 py36_0
nbconvert 5.3.1 py36h8dc0fde_0
nbformat 4.4.0 py36h3a5bc1b_0
networkx 2.1 py36_0
nltk 3.3.0 py36_0
nose 1.3.7 py36h1c3779e_2
notebook 5.5.0 py36_0
numba 0.38.0 py36h830ac7b_0
numexpr 2.6.5 py36hcd2f87e_0
numpy 1.14.3 py36h9fa60d3_1
numpy-base 1.14.3 py36h555522e_1
numpydoc 0.8.0 py36_0
odo 0.5.1 py36h7560279_0
olefile 0.45.1 py36_0
opencv 3.3.1 py36h20b85fd_1
openjdk 8.0.121 1
openpyxl 2.5.3 py36_0
openssl 1.0.2o h8ea7d77_0
packaging 17.1 py36_0
pandas 0.17.1 <pip>
pandas 0.23.0 py36h830ac7b_0
pandoc 1.19.2.1 hb2460c7_1
pandocfilters 1.4.2 py36h3ef6317_1
parso 0.2.0 py36_0
partd 0.3.8 py36hc8e763b_0
path.py 11.0.1 py36_0
pathlib2 2.3.2 py36_0
patsy 0.5.0 py36_0
pep8 1.7.1 py36_0
pickleshare 0.7.4 py36h9de030f_0
pillow 5.1.0 py36h0738816_0
pip 18.0 <pip>
pip 10.0.1 py36_0
pkginfo 1.4.2 py36_1
plotly 2.7.0 <pip>
pluggy 0.6.0 py36hc7daf1e_0
ply 3.11 py36_0
prompt_toolkit 1.0.15 py36h60b8f86_0
protobuf 3.5.2 py36h6538335_0 anaconda
protobuf 3.6.0 <pip>
psutil 5.4.5 py36hfa6e2cd_0
ptan 0.3 <pip>
py 1.5.3 py36_0
pycodestyle 2.4.0 py36_0
pycosat 0.6.3 py36h413d8a4_0
pycparser 2.18 py36hd053e01_1
pycrypto 2.6.1 py36hfa6e2cd_8
pycuda 2017.1.1+cuda9288 <pip>
pycurl 7.43.0.1 py36h74b6da3_0
pyflakes 1.6.0 py36h0b975d6_0
pyglet 1.3.2 <pip>
pygments 2.2.0 py36hb010967_0
pylint 1.8.4 py36_0
pyodbc 4.0.23 py36h6538335_0
pyopenssl 18.0.0 py36_0
pyparsing 2.2.0 py36h785a196_1
pyqt 5.9.2 py36h1aa27d4_0
PyQt4 4.11.4 <pip>
pysocks 1.6.8 py36_0
pytables 3.4.3 py36he6f6034_1
pytest 3.5.1 py36_0
pytest-arraydiff 0.2 py36_0
pytest-astropy 0.3.0 py36_0
pytest-cov 2.5.1 <pip>
pytest-doctestplus 0.1.3 py36_0
pytest-openfiles 0.3.0 py36_0
pytest-qt 1.2.2 <pip>
pytest-remotedata 0.2.1 py36_0
python 3.6.5 h0c2934d_0
python-dateutil 2.7.3 py36_0
python-magic 0.4.6 <pip>
pytools 2018.5.2 <pip>
pytorch 0.4.0 py36_cuda91_cudnn7he774522_1 [cuda91] pytorch
pytz 2018.4 py36_0
pywavelets 0.5.2 py36hc649158_0
pywin32 223 py36hfa6e2cd_1
pywinpty 0.5.1 py36_0
pyyaml 3.12 py36h1d1928f_1
pyzmq 17.0.0 py36hfa6e2cd_1
qt 5.9.6 vc14h62aca36_0
qtawesome 0.4.4 py36h5aa48f6_0
qtconsole 4.3.1 py36h99a29a9_0
qtpandas 1.0.3 <pip>
qtpy 1.4.1 py36_0
requests 2.18.4 py36h4371aae_1
rope 0.10.7 py36had63a69_0
ruamel_yaml 0.15.35 py36hfa6e2cd_1
scikit-image 0.13.1 py36hfa6e2cd_1
scikit-learn 0.19.1 py36h53aea1b_0
scipy 1.1.0 py36h672f292_0
seaborn 0.8.1 py36h9b69545_0
send2trash 1.5.0 py36_0
setuptools 39.1.0 py36_0
simplegeneric 0.8.1 py36_2
singledispatch 3.4.0.3 py36h17d0c80_0
sip 4.19.8 py36h6538335_0
six 1.11.0 py36h4db2310_1
sklearn 0.0 <pip>
snappy 1.1.7 h777316e_3
snowballstemmer 1.2.1 py36h763602f_0
sortedcollections 0.6.1 py36_0
sortedcontainers 1.5.10 py36_0
sphinx 1.7.4 py36_0
sphinxcontrib 1.0 py36hbbac3d2_1
sphinxcontrib-websupport 1.0.1 py36hb5e5916_1
spyder 3.2.8 py36_0
sqlalchemy 1.2.7 py36ha85dd04_0
sqlite 3.23.1 h35aae40_0
statsmodels 0.9.0 py36h452e1ab_0
sympy 1.1.1 py36h96708e0_0
tastyworks 1.0.0 <pip>
tblib 1.3.2 py36h30f5020_0
tensorboard 1.8.0 py36he025d50_0 anaconda
tensorflow-gpu 1.8.0 h21ff451_0 anaconda
tensorflow-gpu-base 1.8.0 py36h376609f_0 anaconda
termcolor 1.1.0 py36_1 anaconda
termcolor 1.1.0 <pip>
terminado 0.8.1 py36_1
testpath 0.3.1 py36h2698cfe_0
tk 8.6.7 hcb92d03_3
toolz 0.9.0 py36_0
tornado 5.0.2 py36_0
traitlets 4.3.2 py36h096827d_0
typing 3.6.4 py36_0
unicodecsv 0.14.1 py36h6450c06_0
urllib3 1.22 py36h276f60a_0
vc 14.1 h0510ff6_3 anaconda
vs2015_runtime 15.5.2 3 anaconda
wcwidth 0.1.7 py36h3d5aa90_0
webencodings 0.5.1 py36h67c50ae_1
websockets 6.0 <pip>
werkzeug 0.14.1 py36_0
wheel 0.31.1 py36_0
widgetsnbextension 3.2.1 py36_0
win_inet_pton 1.0.1 py36he67d7fd_1
win_unicode_console 0.5 py36hcdbd4b5_0
wincertstore 0.2 py36h7fe50ca_0
winpty 0.4.3 4
wrapt 1.10.11 py36he5f5981_0
xlrd 1.1.0 py36h1cb58dc_1
xlsxwriter 1.0.4 py36_0
xlwings 0.11.8 py36_0
xlwt 1.3.0 py36h1a4751e_0
yaml 0.1.7 hc54c509_2
yarl 1.2.6 <pip>
zeromq 4.2.5 hc6251cf_0
zict 0.1.3 py36h2d8e73e_0
zlib 1.2.11 h8395fce_2
(base) C:\Users\idf\Documentidfs\Python Scripts>
If I launch a normal DOS console and then activate python:
C:\Users\idf>"..\idf\Anaconda\Scripts\activate.bat"
and try running simple_plot.py, same behavior.
What am I missing?
You need to add %matplotlib inline.