I just set up my new computer and have an issue with Jupyter-lab. I can't find the "interrupt kernel", "restart kernel" and "restart kernel and run all buttons* like in the image below:
My window currently looks like:
I installed miniconda following the instructions (version 4.12.0). I created a conda environment, installed my required packages and jupyter (version 1.0.0) as well as jupyterlab (version 3.4.4) with the latest version for all of them.
I also added my virtual environment as a kernel using ipykernel.
I am on Windows 10, 64 bits.
Thanks for your help
The output of conda list:
# Name Version Build Channel
anyio 3.5.0 py310haa95532_0
appdirs 1.4.4 pyhd3eb1b0_0
argon2-cffi 21.3.0 pyhd3eb1b0_0
argon2-cffi-bindings 21.2.0 py310h2bbff1b_0
asttokens 2.0.5 pyhd3eb1b0_0
attrs 21.4.0 pyhd3eb1b0_0
audioread 2.1.9 py310h5588dad_3 conda-forge
babel 2.9.1 pyhd3eb1b0_0
backcall 0.2.0 pyhd3eb1b0_0
beautifulsoup4 4.11.1 py310haa95532_0
blas 1.0 mkl
bleach 4.1.0 pyhd3eb1b0_0
bottleneck 1.3.5 py310h9128911_0
brotli 1.0.9 h2bbff1b_7
brotli-bin 1.0.9 h2bbff1b_7
brotlipy 0.7.0 py310h2bbff1b_1002
bzip2 1.0.8 he774522_0
ca-certificates 2022.6.15 h5b45459_0 conda-forge
certifi 2022.6.15 py310h5588dad_0 conda-forge
cffi 1.15.1 py310h2bbff1b_0
charset-normalizer 2.0.4 pyhd3eb1b0_0
colorama 0.4.5 py310haa95532_0
cryptography 37.0.1 py310h21b164f_0
cudatoolkit 11.6.0 hc0ea762_10 conda-forge
cycler 0.11.0 pyhd3eb1b0_0
debugpy 1.5.1 py310hd77b12b_0
decorator 5.1.1 pyhd3eb1b0_0
defusedxml 0.7.1 pyhd3eb1b0_0
easydict 1.9 py_0 conda-forge
entrypoints 0.4 py310haa95532_0
executing 0.8.3 pyhd3eb1b0_0
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.10.4 hd328e21_0
glib 2.69.1 h5dc1a3c_1
gst-plugins-base 1.18.5 h9e645db_0
gstreamer 1.18.5 hd78058f_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 3.3 pyhd3eb1b0_0
importlib-metadata 4.11.4 py310h5588dad_0 conda-forge
intel-openmp 2021.4.0 haa95532_3556
ipykernel 6.9.1 py310haa95532_0
ipython 8.4.0 py310haa95532_0
ipython_genutils 0.2.0 pyhd3eb1b0_1
ipywidgets 7.6.5 pyhd3eb1b0_1
jedi 0.18.1 py310haa95532_1
jinja2 3.0.3 pyhd3eb1b0_0
joblib 1.1.0 pyhd3eb1b0_0
jpeg 9e h2bbff1b_0
json5 0.9.6 pyhd3eb1b0_0
jsonschema 4.4.0 py310haa95532_0
jupyter 1.0.0 py310haa95532_8
jupyter_client 7.2.2 py310haa95532_0
jupyter_console 6.4.3 pyhd3eb1b0_0
jupyter_core 4.10.0 py310haa95532_0
jupyter_server 1.18.1 py310haa95532_0
jupyterlab 3.4.4 py310haa95532_0
jupyterlab_pygments 0.1.2 py_0
jupyterlab_server 2.12.0 py310haa95532_0
jupyterlab_widgets 1.0.0 pyhd3eb1b0_1
kiwisolver 1.4.2 py310hd77b12b_0
libbrotlicommon 1.0.9 h2bbff1b_7
libbrotlidec 1.0.9 h2bbff1b_7
libbrotlienc 1.0.9 h2bbff1b_7
libclang 12.0.0 default_h627e005_2
libffi 3.4.2 hd77b12b_4
libflac 1.3.4 h0e60522_0 conda-forge
libiconv 1.16 h2bbff1b_2
libogg 1.3.5 h2bbff1b_1
libopus 1.3.1 h8ffe710_1 conda-forge
libpng 1.6.37 h2a8f88b_0
librosa 0.9.2 pyhd8ed1ab_0 conda-forge
libsndfile 1.0.31 h0e60522_1 conda-forge
libsodium 1.0.18 h62dcd97_0
libtiff 4.2.0 he0120a3_1
libuv 1.40.0 he774522_0
libvorbis 1.3.7 he774522_0
libwebp 1.2.2 h2bbff1b_0
libxml2 2.9.14 h0ad7f3c_0
libxslt 1.1.35 h2bbff1b_0
llvmlite 0.38.0 py310h23ce68f_0
lz4-c 1.9.3 h2bbff1b_1
markupsafe 2.1.1 py310h2bbff1b_0
matplotlib 3.5.1 py310haa95532_1
matplotlib-base 3.5.1 py310hd77b12b_1
matplotlib-inline 0.1.2 pyhd3eb1b0_2
mistune 0.8.4 py310h2bbff1b_1000
mkl 2021.4.0 haa95532_640
mkl-service 2.4.0 py310h2bbff1b_0
mkl_fft 1.3.1 py310ha0764ea_0
mkl_random 1.2.2 py310h4ed8f06_0
munkres 1.1.4 py_0
nbclassic 0.3.5 pyhd3eb1b0_0
nbclient 0.5.13 py310haa95532_0
nbconvert 6.4.4 py310haa95532_0
nbformat 5.3.0 py310haa95532_0
nest-asyncio 1.5.5 py310haa95532_0
notebook 6.4.12 py310haa95532_0
numba 0.55.1 py310h4ed8f06_0
numexpr 2.8.3 py310hb57aa6b_0
numpy 1.21.5 py310h6d2d95c_3
numpy-base 1.21.5 py310h206c741_3
openssl 1.1.1q h8ffe710_0 conda-forge
packaging 21.3 pyhd3eb1b0_0
pandas 1.4.3 py310hd77b12b_0
pandocfilters 1.5.0 pyhd3eb1b0_0
parso 0.8.3 pyhd3eb1b0_0
pcre 8.45 hd77b12b_0
pickleshare 0.7.5 pyhd3eb1b0_1003
pillow 9.2.0 py310hdc2b20a_1
pip 22.1.2 py310haa95532_0
ply 3.11 py310haa95532_0
pooch 1.4.0 pyhd3eb1b0_0
prettytable 3.3.0 pyhd8ed1ab_0 conda-forge
prometheus_client 0.14.1 py310haa95532_0
prompt-toolkit 3.0.20 pyhd3eb1b0_0
prompt_toolkit 3.0.20 hd3eb1b0_0
pure_eval 0.2.2 pyhd3eb1b0_0
pycparser 2.21 pyhd3eb1b0_0
pygments 2.11.2 pyhd3eb1b0_0
pyopenssl 22.0.0 pyhd3eb1b0_0
pyparsing 3.0.4 pyhd3eb1b0_0
pyqt 5.15.7 py310hd77b12b_0
pyqt5-sip 12.11.0 py310hd77b12b_0
pyrsistent 0.18.0 py310h2bbff1b_0
pysocks 1.7.1 py310haa95532_0
pysoundfile 0.10.3.post1 pyhd3deb0d_0 conda-forge
python 3.10.4 hbb2ffb3_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python-fastjsonschema 2.15.1 pyhd3eb1b0_0
python_abi 3.10 2_cp310 conda-forge
pytorch 1.12.1 py3.10_cuda11.6_cudnn8_0 pytorch
pytorch-mutex 1.0 cuda pytorch
pytz 2022.1 py310haa95532_0
pywin32 302 py310h2bbff1b_2
pywinpty 2.0.2 py310h5da7b33_0
pyyaml 6.0 py310h2bbff1b_0
pyzmq 23.2.0 py310hd77b12b_0
qt-main 5.15.2 he8e5bd7_4
qt-webengine 5.15.9 hb9a9bb5_4
qtconsole 5.3.1 py310haa95532_1
qtpy 2.0.1 pyhd3eb1b0_0
qtwebkit 5.212 h3ad3cdb_4
requests 2.28.1 py310haa95532_0
resampy 0.3.1 pyhd8ed1ab_0 conda-forge
scikit-learn 1.1.1 py310hd77b12b_0
scipy 1.7.3 py310h6d2d95c_0
seaborn 0.11.2 pyhd3eb1b0_0
send2trash 1.8.0 pyhd3eb1b0_1
setuptools 61.2.0 py310haa95532_0
sip 6.6.2 py310hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sniffio 1.2.0 py310haa95532_1
soupsieve 2.3.1 pyhd3eb1b0_0
sqlite 3.39.0 h2bbff1b_0
stack_data 0.2.0 pyhd3eb1b0_0
tbb 2021.5.0 h59b6b97_0
terminado 0.13.1 py310haa95532_0
testpath 0.6.0 py310haa95532_0
threadpoolctl 2.2.0 pyh0d69192_0
tk 8.6.12 h2bbff1b_0
toml 0.10.2 pyhd3eb1b0_0
torchaudio 0.12.1 py310_cu116 pytorch
torchvision 0.13.1 py310_cu116 pytorch
tornado 6.1 py310h2bbff1b_0
tqdm 4.64.0 pyhd8ed1ab_0 conda-forge
traitlets 5.1.1 pyhd3eb1b0_0
typing-extensions 4.3.0 py310haa95532_0
typing_extensions 4.3.0 py310haa95532_0
tzdata 2022a hda174b7_0
urllib3 1.26.11 py310haa95532_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
wcwidth 0.2.5 pyhd3eb1b0_0
webencodings 0.5.1 py310haa95532_1
websocket-client 0.58.0 py310haa95532_4
wheel 0.37.1 pyhd3eb1b0_0
widgetsnbextension 3.5.2 py310haa95532_0
win_inet_pton 1.1.0 py310haa95532_0
wincertstore 0.2 py310haa95532_2
winpty 0.4.3 4
xz 5.2.5 h8cc25b3_1
yaml 0.2.5 he774522_0
zeromq 4.3.4 hd77b12b_0
zipp 3.8.1 pyhd8ed1ab_0 conda-forge
zlib 1.2.12 h8cc25b3_2
zstd 1.5.2 h19a0ad4_0
Related
I have an ubuntu server with conda installed on it. I created a virtual environment called tf-gpu and installed tensorflow 2 into it. The ubuntu server has a geforce GTX video card with gpu installed. When I run the code below in a jupyter notebook using the tf-gpu environment it shows 0 GPU available. The modules installed in my tf-gpu environment are also shown below. Why isn't my tensorflow2 environment seeing my gpu? What do I need to do so that the tf-gpu environment can see and use the gpu on my ubuntu server?
code:
import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU')))
output:
Num GPUs Available: 0
# installed modules
$ conda list
# packages in environment at /home/scotsditch/anaconda3/envs/tf-gpu:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main
_tflow_select 2.1.0 gpu
absl-py 0.9.0 py38_0
argon2-cffi 20.1.0 py38h7b6447c_1
astunparse 1.6.3 py_0
attrs 19.3.0 py_0
backcall 0.2.0 py_0 anaconda
blas 1.0 mkl
bleach 3.1.5 py_0
blinker 1.4 py38_0
brotlipy 0.7.0 py38h7b6447c_1000
c-ares 1.15.0 h7b6447c_1001
ca-certificates 2020.12.5 ha878542_0 conda-forge
cachetools 4.1.1 py_0
certifi 2020.12.5 py38h578d9bd_1 conda-forge
cffi 1.14.1 py38he30daa8_0
chardet 3.0.4 py38_1003
click 7.1.2 py_0
cryptography 2.9.2 py38h1ba5d50_0
cudatoolkit 10.1.243 h6bb024c_0 anaconda
cudnn 7.6.5 cuda10.1_0
cupti 10.1.168 0
cycler 0.10.0 py_2 conda-forge
dbus 1.13.16 hb2f20db_0
decorator 4.4.2 py_0 anaconda
defusedxml 0.6.0 py_0
entrypoints 0.3 py38_0
expat 2.2.9 he1b5a44_2 conda-forge
fontconfig 2.13.1 he4413a7_1000 conda-forge
freetype 2.10.2 h5ab3b9f_0 anaconda
gast 0.3.3 py_0
glib 2.66.1 h92f7085_0
google-auth 1.20.1 py_0
google-auth-oauthlib 0.4.1 py_2
google-pasta 0.2.0 py_0
grpcio 1.31.0 py38hf8bcb03_0
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 h28cd5cc_2
h5py 2.10.0 py38hd6299e0_1
hdf5 1.10.6 hb1b8bf9_0
icu 58.2 hf484d3e_1000 conda-forge
idna 2.10 py_0
importlib-metadata 1.7.0 py38_0
importlib_metadata 1.7.0 0
intel-openmp 2020.1 217
ipykernel 5.3.4 py38h5ca1d4c_0
ipython 7.16.1 py38h5ca1d4c_0 anaconda
ipython_genutils 0.2.0 py38_0 anaconda
jedi 0.17.0 py38_0 anaconda
jinja2 2.11.2 py_0
jpeg 9b habf39ab_1 anaconda
jsonschema 3.2.0 py38_0
jupyter_client 6.1.6 py_0 anaconda
jupyter_core 4.6.3 py38_0 anaconda
keras-preprocessing 1.1.0 py_1
kiwisolver 1.3.1 py38h82cb98a_0 conda-forge
lcms2 2.11 h396b838_0 anaconda
ld_impl_linux-64 2.33.1 h53a641e_7
libedit 3.1.20191231 h14c3975_1
libffi 3.3 he6710b0_2
libgcc-ng 9.1.0 hdf63c60_0
libgfortran-ng 7.3.0 hdf63c60_0
libiconv 1.16 h516909a_0 conda-forge
libpng 1.6.37 hbc83047_0 anaconda
libprotobuf 3.12.4 hd408876_0
libsodium 1.0.18 h7b6447c_0 anaconda
libstdcxx-ng 9.1.0 hdf63c60_0
libtiff 4.1.0 h2733197_1 anaconda
libuuid 2.32.1 h14c3975_1000 conda-forge
libxcb 1.13 h14c3975_1002 conda-forge
libxml2 2.9.9 h13577e0_2 conda-forge
lz4-c 1.9.2 he6710b0_1 anaconda
markdown 3.2.2 py38_0
markupsafe 1.1.1 py38h7b6447c_0
matplotlib 3.3.2 py38h578d9bd_1 conda-forge
matplotlib-base 3.3.2 py38h4d1ce4f_1 conda-forge
mistune 0.8.4 py38h7b6447c_1000
mkl 2020.1 217
mkl-service 2.3.0 py38he904b0f_0
mkl_fft 1.1.0 py38h23d657b_0
mkl_random 1.1.1 py38h0573a6f_0
nb_conda_kernels 2.2.3 py38_0
nbconvert 5.6.1 py38_0
nbformat 5.0.7 py_0
ncurses 6.2 he6710b0_1
notebook 6.1.1 py38_0
numpy 1.19.1 py38hbc911f0_0
numpy-base 1.19.1 py38hfa32c7d_0
oauthlib 3.1.0 py_0
olefile 0.46 py_0 anaconda
openssl 1.1.1h h516909a_0 conda-forge
opt_einsum 3.1.0 py_0
packaging 20.4 py_0
pandas 1.1.3 py38he6710b0_0 anaconda
pandoc 2.10.1 0
pandocfilters 1.4.2 py38_1
parso 0.8.0 py_0 anaconda
pcre 8.44 he1b5a44_0 conda-forge
pexpect 4.8.0 py38_0 anaconda
pickleshare 0.7.5 py38_1000 anaconda
pillow 7.2.0 py38hb39fc2d_0 anaconda
pip 20.2.2 py38_0
prometheus_client 0.8.0 py_0
prompt-toolkit 3.0.5 py_0 anaconda
protobuf 3.12.4 py38he6710b0_0
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
ptyprocess 0.6.0 py38_0 anaconda
pyasn1 0.4.8 py_0
pyasn1-modules 0.2.7 py_0
pycparser 2.20 py_2
pygments 2.6.1 py_0 anaconda
pyjwt 1.7.1 py38_0
pyopenssl 19.1.0 py_1
pyparsing 2.4.7 py_0
pyqt 5.9.2 py38h05f1152_4
pyrsistent 0.16.0 py38h7b6447c_0
pysocks 1.7.1 py38_0
python 3.8.5 hcff3b4d_0
python-dateutil 2.8.1 py_0 anaconda
python_abi 3.8 1_cp38 conda-forge
pytz 2020.1 py_0 anaconda
pyzmq 19.0.1 py38he6710b0_1 anaconda
qt 5.9.7 h5867ecd_1
readline 8.0 h7b6447c_0
requests 2.24.0 py_0
requests-oauthlib 1.3.0 py_0
rsa 4.6 py_0
scipy 1.5.0 py38h0b6359f_0
send2trash 1.5.0 py38_0
setuptools 49.6.0 py38_0
sip 4.19.13 py38he6710b0_0
six 1.15.0 py_0
sqlite 3.32.3 h62c20be_0
tensorboard 2.2.1 pyh532a8cf_0
tensorboard-plugin-wit 1.6.0 py_0
tensorflow 2.2.0 gpu_py38hb782248_0
tensorflow-base 2.2.0 gpu_py38h83e3d50_0
tensorflow-estimator 2.2.0 pyh208ff02_0
tensorflow-gpu 2.2.0 h0d30ee6_0
termcolor 1.1.0 py38_1
terminado 0.8.3 py38_0
testpath 0.4.4 py_0
tk 8.6.10 hbc83047_0
tornado 6.0.4 py38h7b6447c_1 anaconda
traitlets 4.3.3 py38_0 anaconda
urllib3 1.25.10 py_0
wcwidth 0.2.5 py_0 anaconda
webencodings 0.5.1 py38_1
werkzeug 1.0.1 py_0
wheel 0.34.2 py38_0
wrapt 1.12.1 py38h7b6447c_1
xorg-libxau 1.0.9 h14c3975_0 conda-forge
xorg-libxdmcp 1.1.3 h516909a_0 conda-forge
xz 5.2.5 h7b6447c_0
zeromq 4.3.2 he6710b0_2 anaconda
zipp 3.1.0 py_0
zlib 1.2.11 h7b6447c_3
zstd 1.4.4 h0b5b093_3 anaconda
when I run the below on my server I get the output below:
lspci -vnnn | perl -lne 'print if /^\d+\:.+(\[\S+\:\S+\])/' | grep VGA
output:
42:00.0 VGA compatible controller [0300]: NVIDIA Corporation GV104 [GeForce GTX 1180] [10de:1e87] (rev a1) (prog-if 00 [VGA controller])
I was able to solve the issue by running
sudo apt install nvidia-cuda-toolkit
and then rebooting my server
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?
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!
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.
Currently I've installed anaconda.
I'm trying to call in my script the osgeo.ogr module to open a shapefile but I have the following error:
ImportError:
dlopen(/Applications/anaconda3/lib/python3.6/site-packages/osgeo/_gdal.cpython-36m-darwin.so,
2): Library not loaded: #rpath/libpoppler.71.dylib Referenced from:
/Applications/anaconda3/lib/libgdal.20.dylib Reason: image not found
I installed gdal through conda.
This is the list of conda packages:
Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py36h2fc01ae_0
_r-mutex 1.0.0 anacondar_1
alabaster 0.7.10 py36h174008c_0
anaconda-client 1.6.14 py36_0
anaconda-navigator 1.8.4 py36_0
anaconda-project 0.8.2 py36h9ee5d53_0
appnope 0.1.0 py36hf537a9a_0
appscript 1.0.1 py36h9e71e49_1
asn1crypto 0.24.0 py36_0
astroid 1.6.3 <pip>
astroid 1.6.1 py36_0
astropy 2.0.3 py36h1de35cc_0
attrs 17.4.0 py36_0
babel 2.5.3 py36_0
backports 1.0 py36ha3c1827_1
backports.shutil_get_terminal_size 1.0.0 py36hd7a2ee4_2
beautifulsoup4 4.6.0 py36h72d3c9f_1
bitarray 0.8.1 py36h1de35cc_1
bkcharts 0.2 py36h073222e_0
blaze 0.11.3 py36h02e7a37_0
bleach 2.1.3 <pip>
bleach 2.1.2 py36_0
bokeh 0.12.13 py36h2f9c1c0_0
boost 1.66.0 py36_1 conda-forge
boost-cpp 1.66.0 1 conda-forge
boto 2.48.0 py36hdbc59ac_1
bottleneck 1.2.1 py36hbd380ad_0
bzip2 1.0.6 hd86a083_4
ca-certificates 2018.03.07 0 anaconda
cairo 1.14.10 0 conda-forge
certifi 2018.4.16 <pip>
certifi 2018.4.16 py36_0 anaconda
cffi 1.11.4 py36h342bebf_0
chardet 3.0.4 py36h96c241c_1
click 6.7 py36hec950be_0
cloudpickle 0.5.2 py36_1
clyent 1.2.2 py36hae3ad88_0
colorama 0.3.9 py36hd29a30c_0
conda 4.4.10 py36_0
conda-build 3.4.1 py36_0
conda-env 2.6.0 h36134e3_0
conda-verify 2.0.0 py36he837df3_0
contextlib2 0.5.5 py36hd66e5e7_0
cryptography 2.1.4 py36h842514c_0
curl 7.58.0 ha441bb4_0
cycler 0.10.0 py36hfc81398_0
cyrus-sasl 2.1.26 ha054001_1
cython 0.27.3 py36h6ecb376_0
cytoolz 0.9.0 py36h1de35cc_0
dask 0.16.1 py36_0
dask-core 0.16.1 py36_0
datashape 0.5.4 py36hfb22df8_0
dbus 1.11.0 0 conda-forge
decorator 4.2.1 py36_0
decorator 4.3.0 <pip>
distributed 1.20.2 py36_0
Django 2.0.5 <pip>
docutils 0.14 py36hbfde631_0
entrypoints 0.2.3 py36hd81d71f_2
et_xmlfile 1.0.1 py36h1315bdc_0
expat 2.2.5 hb8e80ba_0
fastcache 1.0.2 py36h1de35cc_2
filelock 2.0.13 py36hf9de95b_0
flask 0.12.2 py36h5658096_0
flask-cors 3.0.3 py36h7387b97_0
font-ttf-dejavu-sans-mono 2.37 h6964260_0
font-ttf-inconsolata 2.001 hcb22688_0
font-ttf-source-code-pro 2.030 h7457263_0
font-ttf-ubuntu 0.83 h8b1ccd4_0
fontconfig 2.12.6 h9850fc5_0
fonts-anaconda 1 h8fa9717_0
freetype 2.8.1 0 conda-forge
freexl 1.0.5 h1de35cc_0
fribidi 1.0.2 h1de35cc_0
gdal 2.2.2 py36hd505dc6_1 anaconda
geojson 2.3.0 <pip>
geos 3.6.2 h5470d99_2
geotiff 1.4.2 1 conda-forge
get_terminal_size 1.0.0 h7520d66_0
gettext 0.19.8.1 h15daf44_3
gevent 1.2.2 py36ha70b9d6_0
giflib 5.1.4 h1035379_1
glib 2.55.0 0 conda-forge
glob2 0.6 py36h94c9186_0
gmp 6.1.2 hb37e062_1
gmpy2 2.0.8 py36hf9c35bd_2
graphite2 1.3.11 h337f25e_1
greenlet 0.4.12 py36hf09ba7b_0
gsl 2.4 h3efe00b_3
h5py 2.7.1 py36h39cdac5_0
harfbuzz 1.7.6 0 conda-forge
hdf4 4.2.13 h39711bb_2
hdf5 1.10.1 ha036c08_1
heapdict 1.0.0 py36_2
html5lib 1.0.1 py36h2f9c1c0_0
icu 58.2 h4b95b61_1
idna 2.6 py36h8628d0a_1
imageio 2.2.0 py36h5e01289_0
imagesize 0.7.1 py36h3495948_0
imagesize 1.0.0 <pip>
intel-openmp 2018.0.0 h8158457_8
ipykernel 4.8.0 py36_0
ipython 6.2.1 py36h3dda519_1
ipython_genutils 0.2.0 py36h241746c_0
ipywidgets 7.1.1 py36_0
isort 4.2.15 py36hceb2a01_0
isort 4.3.4 <pip>
itsdangerous 0.24 py36h49fbb8d_1
jbig 2.1 h4d881f8_0
jdcal 1.3 py36h1986823_0
jedi 0.12.0 <pip>
jedi 0.11.1 py36_0
jinja2 2.10 py36hd36f9c5_0
jpeg 9b he5867d9_2
json-c 0.12.1 h6b7fe83_2
jsonschema 2.6.0 py36hb385e00_0
jupyter 1.0.0 py36_4
jupyter_client 5.2.2 py36_0
jupyter_console 5.2.0 py36hccf5b1c_1
jupyter_core 4.4.0 py36h79cf704_0
jupyterlab 0.31.5 py36_0
jupyterlab_launcher 0.10.2 py36_0
kealib 1.4.7 hc1e10f3_5
krb5 1.14.2 h9a779f2_6
lazy-object-proxy 1.3.1 py36h2fbbe47_0
libboost 1.65.1 hcc95346_4
libcurl 7.58.0 hf30b1f0_0
libcxx 4.0.1 h579ed51_0
libcxxabi 4.0.1 hebd6815_0
libdap4 3.19.0 hefe82ba_2 anaconda
libedit 3.1 hb4e282d_0
libffi 3.2.1 h475c297_4
libgdal 2.2.2 h3559a57_1 anaconda
libgfortran 3.0.1 h93005f0_2
libiconv 1.15 hdd342a3_7
libkml 1.3.0 hc0cae1e_3
libnetcdf 4.4.1.1 hdf03fd4_8 anaconda
libntlm 1.4 h1de35cc_2
libpng 1.6.34 he12f830_0
libpq 10.3 hf30b1f0_0
libsodium 1.0.15 hd9e47c5_0
libspatialite 4.3.0a h0a2fa02_18
libssh2 1.8.0 h322a93b_4
libtiff 4.0.9 h0dac147_0
libuuid 1.0.3 h6bb4b03_2
libxml2 2.9.7 hab757c2_0
libxslt 1.1.32 hb819dd2_0
llvm-openmp 4.0.1 hda82c8b_0
llvmlite 0.21.0 py36hff739e7_0
locket 0.2.0 py36hca03003_1
lxml 4.1.1 py36hef8c89e_1
lzo 2.10 h362108e_2
markupsafe 1.0 py36h3a1e703_1
matplotlib 2.1.2 py36h6d6146d_0
mccabe 0.6.1 py36hdaeb55d_0
mistune 0.8.3 py36_0
mkl 2018.0.1 hfbd8650_4
mkl-service 1.1.2 py36h7ea6df4_4
mpc 1.0.3 h7a72875_5
mpfr 3.1.5 h711e7fd_2
mpmath 1.0.0 py36hf1b8295_2
msgpack-python 0.5.1 py36h04f5b5a_0
multipledispatch 0.4.9 py36hc5f92b5_0
navigator-updater 0.1.0 py36h7aee5fb_0
nbconvert 5.3.1 py36h810822e_0
nbformat 4.4.0 py36h827af21_0
ncurses 6.0 hd04f020_2
networkx 2.1 py36_0
nltk 3.2.5 py36h1190bce_0
nose 1.3.7 py36h73fae2b_2
notebook 5.4.0 py36_0
numba 0.36.2 np114py36hc2f221f_0
numexpr 2.6.4 py36habcfcfe_0
numpy 1.14.0 py36h8a80b8c_1
numpydoc 0.8.0 <pip>
numpydoc 0.7.0 py36he54d08e_0
odo 0.5.1 py36hc1af34a_0
olefile 0.45.1 py36_0
openjpeg 2.3.0 h9b27163_0
openpyxl 2.4.10 py36_0
openssl 1.0.2o h26aff7b_0 anaconda
packaging 17.1 <pip>
packaging 16.8 py36he5e8135_0
pandas 0.22.0 py36h0a44026_0
pandoc 1.19.2.1 ha5e8f32_1
pandocfilters 1.4.2 py36h3b0b094_1
pango 1.40.14 0 conda-forge
parso 0.2.0 <pip>
parso 0.1.1 py36hc90e01c_0
partd 0.3.8 py36hf5c4cb8_0
path.py 10.5 py36h7bcb313_0
pathlib2 2.3.0 py36h877a6d8_0
patsy 0.5.0 py36_0
pcre 8.41 hfb6ab37_1
pep8 1.7.1 py36_0
pexpect 4.3.1 py36_0
pickleshare 0.7.4 py36hf512f8e_0
pika 0.11.2 <pip>
pillow 5.0.0 py36hfcce615_0
pip 9.0.1 py36h1555ced_4
pip 10.0.1 <pip>
pixman 0.34.0 hca0a616_3
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pytest 3.3.2 py36_0
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python.app 2 py36h54569d5_7
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r-hms 0.3 r342hdcc9ba2_0
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r-plyr 1.8.4 r342h66d2667_0
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r-scales 0.5.0 r342h4ec2787_0
r-selectr 0.3_1 r342h1005dde_0
r-sfsmisc 1.1_1 r342hd831c0a_0
r-shiny 1.0.5 r342hb27b129_0
r-sourcetools 0.1.6 r342h35ff172_0
r-sparklyr 0.6.3 r342h4912c76_0
r-spatial 7.3_11 r342h4b9b681_4
r-stringi 1.1.5 r342ha83ea67_0
r-stringr 1.2.0 r342h61359ef_0
r-survival 2.41_3 r342h7e0d132_0
r-tibble 1.3.4 r342h9aabc0a_0
r-tidyr 0.7.1 r342h953b3d9_0
r-tidyselect 0.2.2 r342h4fcf255_0
r-tidyverse 1.1.1 r342hf375f76_0
r-timedate 3012.100 r342h8f8ad6e_4
r-ttr 0.23_2 r342h9ffbca2_0
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readline 7.0 hc1231fa_4
requests 2.18.4 py36h4516966_1
rope 0.10.7 py36h68959ac_0
rstudio 1.1.383 h4814094_2
ruamel_yaml 0.15.35 py36h1de35cc_1
scikit-image 0.13.1 py36h1de35cc_1
scikit-learn 0.19.1 py36hffbff8c_0
scipy 1.0.0 py36h1de22e9_0
seaborn 0.8.1 py36h595ecd9_0
send2trash 1.4.2 py36_0
setuptools 39.0.1 <pip>
setuptools 38.4.0 py36_0
simplegeneric 0.8.1 py36_2
singledispatch 3.4.0.3 py36hf20db9d_0
sip 4.19.8 <pip>
sip 4.18.1 py36h2824476_2
six 1.11.0 py36h0e22d5e_1
snowballstemmer 1.2.1 py36h6c7b616_0
sortedcollections 0.5.3 py36he9c3ed6_0
sortedcontainers 1.5.9 py36_0
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Sphinx 1.7.4 <pip>
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sphinxcontrib-websupport 1.0.1 py36h92f4a7a_1
spyder 3.2.8 py36_0
spyder 3.2.8 <pip>
sqlalchemy 1.2.1 py36h1de35cc_0
sqlite 3.20.1 0 conda-forge
statsmodels 0.8.0 py36h9c68fc9_0
sympy 1.1.1 py36h7f3cf04_0
tblib 1.3.2 py36hda67792_0
terminado 0.8.1 py36_1
testpath 0.3.1 py36h625a49b_0
tk 8.6.7 h35a86e2_3
toolz 0.9.0 py36_0
tornado 4.5.3 py36_0
traitlets 4.3.2 py36h65bd3ce_0
typing 3.6.2 py36haa2d9ef_0
unicodecsv 0.14.1 py36he531d66_0
unixodbc 2.3.4 h4cb4dde_1
urllib3 1.22 py36h68b9469_0
wcwidth 0.1.7 py36h8c6ec74_0
webencodings 0.5.1 py36h3b9701d_1
werkzeug 0.14.1 py36_0
wheel 0.30.0 py36h5eb2c71_1
widgetsnbextension 3.1.0 py36_0
wrapt 1.10.11 py36hc29e774_0
xerces-c 3.2.0 0 conda-forge
xlrd 1.1.0 py36h336f4a2_1
xlsxwriter 1.0.2 py36h3736301_0
xlwings 0.11.5 py36_0
xlwt 1.2.0 py36h5ad1178_0
xz 5.2.3 h0278029_2
yaml 0.1.7 hc338f04_2
zeromq 4.2.2 ha360ad0_2
zict 0.1.3 py36h71da714_0
zlib 1.2.11 hf3cbc9b
Somebody could help me please?
I had similar issue on Mac OS High Sierra. After trying other solutions installing and upgrading packages I try back to stable version (and times when my code works :)) here is solution:
In terminal
1) go into your conda environment. Do it by activate conda environment:
source activate [your_environment_name]
2) Install gdal with defined libgdal:
conda install -c conda-forge gdal "libgdal<2.0"
For information: This solution I spot on comment done by dannguyen commented on May 22, 2016.