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conda-forge / geopandas-feedstock

A conda-smithy repository for geopandas.
BSD 3-Clause "New" or "Revised" License
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Cannot import geopandas or other packages into anaconda/jupyter notebook to make a chloropeth map #68

Closed saswat closed 5 years ago

saswat commented 5 years ago

Hello I hope I am asking in the right place.

Issue: Whenever I try to run some code like this, for making a county chloropeth map:

`import geopandas import plotly import plotly.figure_factory as ff

values = df2017['SIR'].tolist() fips = df2017['FIPS'].tolist() colorscale = [ 'rgb(193, 193, 193)', 'rgb(239,239,239)', 'rgb(195, 196, 222)', 'rgb(144,148,194)', 'rgb(101,104,168)', 'rgb(65, 53, 132)' ] fig = ff.create_choropleth( fips=fips, values=values, scope=['CA'], binning_endpoints=[14348, 63983, 134827, 426762, 2081313], colorscale=colorscale, county_outline={'color': 'rgb(255,255,255)', 'width': 0.5}, round_legend_values=True, legend_title='SIR by County', title='California test' ) fig.layout.template = None fig.show()`

I get some error like this:

ImportError Traceback (most recent call last)

in 13 binning_endpoints=[14348, 63983, 134827, 426762, 2081313], colorscale=colorscale, 14 county_outline={'color': 'rgb(255,255,255)', 'width': 0.5}, round_legend_values=True, ---> 15 legend_title='SIR by County', title='California test' 16 ) 17 fig.layout.template = None ~\Anaconda3\lib\site-packages\plotly\figure_factory\_county_choropleth.py in create_choropleth(fips, values, scope, binning_endpoints, colorscale, order, simplify_county, simplify_state, asp, show_hover, show_state_data, state_outline, county_outline, centroid_marker, round_legend_values, exponent_format, legend_title, **layout_options) 627 if not gp or not shapefile or not shapely: 628 raise ImportError( --> 629 "geopandas, pyshp and shapely must be installed for this figure " 630 "factory.\n\nRun the following commands to install the correct " 631 "versions of the following modules:\n\n" ImportError: geopandas, pyshp and shapely must be installed for this figure factory. Run the following commands to install the correct versions of the following modules: ``` $ pip install geopandas==0.3.0 $ pip install pyshp==1.2.10 $ pip install shapely==1.6.3 ``` If you are using Windows, follow this post to properly install geopandas and dependencies:http://geoffboeing.com/2014/09/using-geopandas-windows/ If you are using Anaconda, do not use PIP to install the packages above. Instead use conda to install them: ``` $ conda install plotly $ conda install geopandas


Environment (conda list):

``` $ conda list (base) C:\Users\SSP>conda list # packages in environment at C:\Users\SSP\Anaconda3: # # Name Version Build Channel _ipyw_jlab_nb_ext_conf 0.1.0 py37_0 addfips 0.2.2 pypi_0 pypi alabaster 0.7.12 py37_0 anaconda 2019.10 py37_0 anaconda-client 1.7.2 py37_0 anaconda-navigator 1.9.7 py37_0 anaconda-project 0.8.3 py_0 asn1crypto 1.0.1 py37_0 astroid 2.3.1 py37_0 astropy 3.2.1 py37he774522_0 atomicwrites 1.3.0 py37_1 attrs 19.2.0 py_0 babel 2.7.0 py_0 backcall 0.1.0 py37_0 backports 1.0 py_2 backports.functools_lru_cache 1.5 py_2 backports.os 0.1.1 py37_0 backports.shutil_get_terminal_size 1.0.0 py37_2 backports.tempfile 1.0 py_1 backports.weakref 1.0.post1 py_1 beautifulsoup4 4.8.0 py37_0 bitarray 1.0.1 py37he774522_0 bkcharts 0.2 py37_0 blas 1.0 mkl bleach 3.1.0 py37_0 blosc 1.16.3 h7bd577a_0 bokeh 1.3.4 py37_0 boost-cpp 1.70.0 h6a4c333_2 conda-forge boto 2.49.0 py37_0 bottleneck 1.2.1 py37h452e1ab_1 bzip2 1.0.8 he774522_0 ca-certificates 2019.8.28 0 certifi 2019.9.11 py37_0 cffi 1.12.3 py37h7a1dbc1_0 chardet 3.0.4 py37_1003 click 7.0 py37_0 click-plugins 1.1.1 py_0 conda-forge cligj 0.5.0 py_0 conda-forge cloudpickle 1.2.2 py_0 clyent 1.2.2 py37_1 colorama 0.4.1 py37_0 comtypes 1.1.7 py37_0 conda 4.7.12 py37_0 conda-build 3.18.10 py37_3 conda-env 2.6.0 1 conda-package-handling 1.6.0 py37h62dcd97_0 conda-verify 3.4.2 py_1 console_shortcut 0.1.1 3 contextlib2 0.6.0 py_0 cryptography 2.7 py37h7a1dbc1_0 curl 7.65.3 h2a8f88b_0 cycler 0.10.0 py37_0 cython 0.29.13 py37ha925a31_0 cytoolz 0.10.0 py37he774522_0 dask 2.5.2 py_0 dask-core 2.5.2 py_0 decorator 4.4.0 py37_1 defusedxml 0.6.0 py_0 distributed 2.5.2 py_0 docutils 0.15.2 py37_0 entrypoints 0.3 py37_0 et_xmlfile 1.0.1 py37_0 expat 2.2.5 he025d50_1004 conda-forge fastcache 1.1.0 py37he774522_0 filelock 3.0.12 py_0 fiona 1.8.4 py37h22081e2_0 flask 1.1.1 py_0 freetype 2.9.1 ha9979f8_1 freexl 1.0.5 hd288d7e_1002 conda-forge fsspec 0.5.2 py_0 future 0.17.1 py37_0 gdal 2.3.3 py37hdf43c64_0 geopandas 0.6.1 py_1 conda-forge geos 3.7.1 h33f27b4_0 get_terminal_size 1.0.0 h38e98db_0 gevent 1.4.0 py37he774522_0 glob2 0.7 py_0 greenlet 0.4.15 py37hfa6e2cd_0 h5py 2.9.0 py37h5e291fa_0 hdf4 4.2.13 h712560f_2 hdf5 1.10.4 h7ebc959_0 heapdict 1.0.1 py_0 html5lib 1.0.1 py37_0 icc_rt 2019.0.0 h0cc432a_1 icu 58.2 ha66f8fd_1 idna 2.8 py37_0 imageio 2.6.0 py37_0 imagesize 1.1.0 py37_0 importlib_metadata 0.23 py37_0 intel-openmp 2019.4 245 ipykernel 5.1.2 py37h39e3cac_0 ipython 7.8.0 py37h39e3cac_0 ipython_genutils 0.2.0 py37_0 ipywidgets 7.5.1 py_0 isort 4.3.21 py37_0 itsdangerous 1.1.0 py37_0 jdcal 1.4.1 py_0 jedi 0.15.1 py37_0 jinja2 2.10.3 py_0 joblib 0.13.2 py37_0 jpeg 9b hb83a4c4_2 json5 0.8.5 py_0 jsonschema 3.0.2 py37_0 jupyter 1.0.0 py37_7 jupyter_client 5.3.3 py37_1 jupyter_console 6.0.0 py37_0 jupyter_core 4.5.0 py_0 jupyterlab 1.1.4 pyhf63ae98_0 jupyterlab_server 1.0.6 py_0 kealib 1.4.10 heacb130_1003 conda-forge keyring 18.0.0 py37_0 kiwisolver 1.1.0 py37ha925a31_0 krb5 1.16.1 hc04afaa_7 lazy-object-proxy 1.4.2 py37he774522_0 libarchive 3.3.3 h0643e63_5 libcurl 7.65.3 h2a8f88b_0 libgdal 2.3.3 h10f50ba_0 libiconv 1.15 h1df5818_7 libkml 1.3.0 h4ece8bf_1010 conda-forge liblief 0.9.0 ha925a31_2 libnetcdf 4.6.1 h411e497_2 libpng 1.6.37 h2a8f88b_0 libpq 11.2 h3235a2c_0 libsodium 1.0.16 h9d3ae62_0 libspatialindex 1.8.5 he025d50_4 conda-forge libspatialite 4.3.0a h6a0152f_1026 conda-forge libssh2 1.8.2 h7a1dbc1_0 libtiff 4.0.10 hb898794_2 libxml2 2.9.9 h464c3ec_0 libxslt 1.1.33 h579f668_0 llvmlite 0.29.0 py37ha925a31_0 locket 0.2.0 py37_1 lxml 4.4.1 py37h1350720_0 lz4-c 1.8.1.2 h2fa13f4_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 1.1.1 py37he774522_0 matplotlib 3.1.1 py37hc8f65d3_0 mccabe 0.6.1 py37_1 menuinst 1.4.16 py37he774522_0 mistune 0.8.4 py37he774522_0 mkl 2019.4 245 mkl-service 2.3.0 py37hb782905_0 mkl_fft 1.0.14 py37h14836fe_0 mkl_random 1.1.0 py37h675688f_0 mock 3.0.5 py37_0 more-itertools 7.2.0 py37_0 mpmath 1.1.0 py37_0 msgpack-python 0.6.1 py37h74a9793_1 msys2-conda-epoch 20160418 1 multipledispatch 0.6.0 py37_0 munch 2.3.2 py_0 conda-forge navigator-updater 0.2.1 py37_0 nbconvert 5.6.0 py37_1 nbformat 4.4.0 py37_0 networkx 2.3 py_0 nltk 3.4.5 py37_0 nose 1.3.7 py37_2 notebook 6.0.1 py37_0 numba 0.45.1 py37hf9181ef_0 numexpr 2.7.0 py37hdce8814_0 numpy 1.16.5 py37h19fb1c0_0 numpy-base 1.16.5 py37hc3f5095_0 numpydoc 0.9.1 py_0 olefile 0.46 py37_0 openpyxl 3.0.0 py_0 openssl 1.1.1d he774522_2 packaging 19.2 py_0 pandas 0.25.1 py37ha925a31_0 pandoc 2.2.3.2 0 pandocfilters 1.4.2 py37_1 parso 0.5.1 py_0 partd 1.0.0 py_0 path.py 12.0.1 py_0 pathlib2 2.3.5 py37_0 patsy 0.5.1 py37_0 pcre 8.43 h6538335_0 conda-forge pep8 1.7.1 py37_0 pickleshare 0.7.5 py37_0 pillow 6.2.0 py37hdc69c19_0 pip 19.2.3 py37_0 pkginfo 1.5.0.1 py37_0 plotly 4.2.1 py_0 plotly plotly-geo 1.0.0 py_0 plotly pluggy 0.13.0 py37_0 ply 3.11 py37_0 powershell_shortcut 0.0.1 2 proj4 5.2.0 h6538335_1006 conda-forge prometheus_client 0.7.1 py_0 prompt_toolkit 2.0.10 py_0 psutil 5.6.3 py37he774522_0 py 1.8.0 py37_0 py-lief 0.9.0 py37ha925a31_2 pycodestyle 2.5.0 py37_0 pycosat 0.6.3 py37hfa6e2cd_0 pycparser 2.19 py37_0 pycrypto 2.6.1 py37hfa6e2cd_9 pycurl 7.43.0.3 py37h7a1dbc1_0 pyflakes 2.1.1 py37_0 pygments 2.4.2 py_0 pylint 2.4.2 py37_0 pyodbc 4.0.27 py37ha925a31_0 pyopenssl 19.0.0 py37_0 pyparsing 2.4.2 py_0 pyproj 1.9.6 py37h6782396_0 pyqt 5.9.2 py37h6538335_2 pyreadline 2.1 py37_1 pyrsistent 0.15.4 py37he774522_0 pysocks 1.7.1 py37_0 pytables 3.5.2 py37h1da0976_1 pytest 5.2.1 py37_0 pytest-arraydiff 0.3 py37h39e3cac_0 pytest-astropy 0.5.0 py37_0 pytest-doctestplus 0.4.0 py_0 pytest-openfiles 0.4.0 py_0 pytest-remotedata 0.3.2 py37_0 python 3.7.4 h5263a28_0 python-dateutil 2.8.0 py37_0 python-libarchive-c 2.8 py37_13 pytz 2019.3 py_0 pywavelets 1.0.3 py37h8c2d366_1 pywin32 223 py37hfa6e2cd_1 pywinpty 0.5.5 py37_1000 pyyaml 5.1.2 py37he774522_0 pyzmq 18.1.0 py37ha925a31_0 qt 5.9.7 vc14h73c81de_0 qtawesome 0.6.0 py_0 qtconsole 4.5.5 py_0 qtpy 1.9.0 py_0 requests 2.22.0 py37_0 retrying 1.3.3 py37_2 rope 0.14.0 py_0 rtree 0.8.3 py37h21ff451_1002 conda-forge ruamel_yaml 0.15.46 py37hfa6e2cd_0 scikit-image 0.15.0 py37ha925a31_0 scikit-learn 0.21.3 py37h6288b17_0 scipy 1.3.1 py37h29ff71c_0 seaborn 0.9.0 py37_0 send2trash 1.5.0 py37_0 setuptools 41.4.0 py37_0 shapely 1.6.4 py37h222a598_0 simplegeneric 0.8.1 py37_2 singledispatch 3.4.0.3 py37_0 sip 4.19.8 py37h6538335_0 six 1.12.0 py37_0 snappy 1.1.7 h777316e_3 snowballstemmer 2.0.0 py_0 sortedcollections 1.1.2 py37_0 sortedcontainers 2.1.0 py37_0 soupsieve 1.9.3 py37_0 sphinx 2.2.0 py_0 sphinxcontrib 1.0 py37_1 sphinxcontrib-applehelp 1.0.1 py_0 sphinxcontrib-devhelp 1.0.1 py_0 sphinxcontrib-htmlhelp 1.0.2 py_0 sphinxcontrib-jsmath 1.0.1 py_0 sphinxcontrib-qthelp 1.0.2 py_0 sphinxcontrib-serializinghtml 1.1.3 py_0 sphinxcontrib-websupport 1.1.2 py_0 spyder 3.3.6 py37_0 spyder-kernels 0.5.2 py37_0 sqlalchemy 1.3.9 py37he774522_0 sqlite 3.30.0 he774522_0 statsmodels 0.10.1 py37h8c2d366_0 sympy 1.4 py37_0 tbb 2019.4 h74a9793_0 tblib 1.4.0 py_0 terminado 0.8.2 py37_0 testpath 0.4.2 py37_0 tk 8.6.8 hfa6e2cd_0 toolz 0.10.0 py_0 tornado 6.0.3 py37he774522_0 tqdm 4.36.1 py_0 traitlets 4.3.3 py37_0 unicodecsv 0.14.1 py37_0 urllib3 1.24.2 py37_0 vc 14.1 h0510ff6_4 vs2015_runtime 14.16.27012 hf0eaf9b_0 wcwidth 0.1.7 py37_0 webencodings 0.5.1 py37_1 werkzeug 0.16.0 py_0 wheel 0.33.6 py37_0 widgetsnbextension 3.5.1 py37_0 win_inet_pton 1.1.0 py37_0 win_unicode_console 0.5 py37_0 wincertstore 0.2 py37_0 winpty 0.4.3 4 wrapt 1.11.2 py37he774522_0 xerces-c 3.2.2 h6538335_1004 conda-forge xlrd 1.2.0 py37_0 xlsxwriter 1.2.1 py_0 xlwings 0.15.10 py37_0 xlwt 1.3.0 py37_0 xz 5.2.4 h2fa13f4_4 yaml 0.1.7 hc54c509_2 zeromq 4.3.1 h33f27b4_3 zict 1.0.0 py_0 zipp 0.6.0 py_0 zlib 1.2.11 h62dcd97_3 zstd 1.3.7 h508b16e_0 ```


Details about conda and system ( conda info ):

``` $ conda info (base) C:\Users\SSP>conda info active environment : base active env location : C:\Users\SSP\Anaconda3 shell level : 1 user config file : C:\Users\SSP\.condarc populated config files : conda version : 4.7.12 conda-build version : 3.18.10 python version : 3.7.4.final.0 virtual packages : __cuda=10.1 base environment : C:\Users\SSP\Anaconda3 (writable) channel URLs : https://repo.anaconda.com/pkgs/main/win-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/r/win-64 https://repo.anaconda.com/pkgs/r/noarch https://repo.anaconda.com/pkgs/msys2/win-64 https://repo.anaconda.com/pkgs/msys2/noarch package cache : C:\Users\SSP\Anaconda3\pkgs C:\Users\SSP\.conda\pkgs C:\Users\SSP\AppData\Local\conda\conda\pkgs envs directories : C:\Users\SSP\Anaconda3\envs C:\Users\SSP\.conda\envs C:\Users\SSP\AppData\Local\conda\conda\envs platform : win-64 user-agent : conda/4.7.12 requests/2.22.0 CPython/3.7.4 Windows/10 Windows/10.0.18362 administrator : False netrc file : None offline mode : False ```
ocefpaf commented 5 years ago

@saswat please take a look at https://conda-forge.org/docs/user/introduction.html#how-can-i-install-packages-from-conda-forge and https://conda-forge.org/docs/user/tipsandtricks.html#how-to-fix-it

The vast majority of your packages are coming from defaults and not conda-forge.

saswat commented 5 years ago

Do you know if there is an issue with these packages?

I did what was advised and installed everything from conda-forge, in a new environment. And I was still getting that error... Does launching jupyter notebook from a new environment make it so it only looks at packages within that environment? Or do I also have to maybe delete the packages in the base environment? or somehow replace those with the ones from conda-forge?

ocefpaf commented 5 years ago

@saswat most of the answer to questions are in the docs I pointed to you above. If they are not clear I welcome feedback but looks like you did not checked them yet.

Also, if you created a new environment please post the debug information (conda list and conda info) again so we can debug the problem.

saswat commented 5 years ago

Hi @ocefpaf

Thanks a lot for your reply. I'm quite new to using conda....I tried to do what the link suggested by installing everything I could from conda-forge but ended up still getting the same error. Here is my new list of packages. It looks like everything is from conda-forge where possible (I did the thing to set channel_priority to strict but it kept saying 'flexible').

But one problem I'm not sure about is what does the build column mean? Should everything say py36_0? Is there a way I can make it default to that?


Environment (conda list):

``` $ conda list (base) C:\Users\SSP>conda list # packages in environment at C:\Users\SSP\Anaconda3: # # Name Version Build Channel addfips 0.2.2 pypi_0 pypi attrs 19.3.0 py_0 conda-forge backcall 0.1.0 py_0 conda-forge bleach 3.1.0 py_0 conda-forge boost-cpp 1.70.0 h6a4c333_2 conda-forge bzip2 1.0.8 hfa6e2cd_1 conda-forge ca-certificates 2019.9.11 hecc5488_0 conda-forge certifi 2019.9.11 py36_0 conda-forge cfitsio 3.470 hfa6e2cd_2 conda-forge click 7.0 py_0 conda-forge click-plugins 1.1.1 py_0 conda-forge cligj 0.5.0 py_0 conda-forge colorama 0.4.1 py_0 conda-forge curl 7.65.3 h4496350_0 conda-forge cycler 0.10.0 py_2 conda-forge decorator 4.4.1 py_0 conda-forge defusedxml 0.6.0 py_0 conda-forge entrypoints 0.3 py36_1000 conda-forge expat 2.2.5 he025d50_1004 conda-forge fiona 1.8.9.post2 py36hb7fdc2d_0 conda-forge freetype 2.10.0 h563cfd7_1 conda-forge freexl 1.0.5 hd288d7e_1002 conda-forge gdal 3.0.1 py36h2fee047_10 conda-forge geopandas 0.6.1 py_1 conda-forge geos 3.7.2 he025d50_2 conda-forge geotiff 1.5.1 h6e819c3_4 conda-forge gettext 0.19.8.1 hb01d8f6_1002 conda-forge glib 2.58.3 hc0c2ac7_1002 conda-forge hdf4 4.2.13 hf8e6fe8_1002 conda-forge hdf5 1.10.5 nompi_ha405e13_1104 conda-forge icu 64.2 he025d50_1 conda-forge importlib_metadata 0.23 py36_0 conda-forge intel-openmp 2019.4 245 ipykernel 5.1.3 py36h5ca1d4c_0 conda-forge ipython 7.9.0 py36h5ca1d4c_0 conda-forge ipython_genutils 0.2.0 py_1 conda-forge ipywidgets 7.5.1 py_0 conda-forge jedi 0.15.1 py36_0 conda-forge jinja2 2.10.3 py_0 conda-forge jpeg 9c hfa6e2cd_1001 conda-forge jsonschema 3.1.1 py36_0 conda-forge jupyter 1.0.0 py_2 conda-forge jupyter_client 5.3.3 py36_1 conda-forge jupyter_console 6.0.0 py_0 conda-forge jupyter_core 4.5.0 py_0 conda-forge kealib 1.4.10 hf7dc31f_1005 conda-forge kiwisolver 1.1.0 py36he980bc4_0 conda-forge krb5 1.16.3 hdd46e55_1001 conda-forge libblas 3.8.0 14_mkl conda-forge libcblas 3.8.0 14_mkl conda-forge libclang 9.0.0 h74a9793_1 conda-forge libcurl 7.65.3 h4496350_0 conda-forge libffi 3.2.1 h6538335_1006 conda-forge libgdal 3.0.1 h2491c49_10 conda-forge libiconv 1.15 hfa6e2cd_1005 conda-forge libkml 1.3.0 h4ece8bf_1010 conda-forge liblapack 3.8.0 14_mkl conda-forge libnetcdf 4.7.1 nompi_h8d74e2a_101 conda-forge libpng 1.6.37 h7602738_0 conda-forge libpq 11.5 hb0bdaea_1 conda-forge libsodium 1.0.17 h2fa13f4_0 conda-forge libspatialindex 1.8.5 he025d50_4 conda-forge libspatialite 4.3.0a hee5a54d_1031 conda-forge libssh2 1.8.2 h642c060_2 conda-forge libtiff 4.0.10 h6512ee2_1003 conda-forge libxml2 2.9.9 h9ce36c8_5 conda-forge lz4-c 1.8.3 he025d50_1001 conda-forge m2w64-expat 2.1.1 2 m2w64-gcc-libgfortran 5.3.0 6 m2w64-gcc-libs 5.3.0 7 m2w64-gcc-libs-core 5.3.0 7 m2w64-gettext 0.19.7 2 m2w64-gmp 6.1.0 2 m2w64-libiconv 1.14 6 m2w64-libwinpthread-git 5.0.0.4634.697f757 2 m2w64-xz 5.2.2 2 markupsafe 1.1.1 py36hfa6e2cd_0 conda-forge matplotlib 3.1.1 py36_1 conda-forge matplotlib-base 3.1.1 py36h2852a4a_1 conda-forge mistune 0.8.4 py36hfa6e2cd_1000 conda-forge mkl 2019.4 245 more-itertools 7.2.0 py_0 conda-forge msys2-conda-epoch 20160418 1 munch 2.4.0 py_0 conda-forge nbconvert 5.6.1 py36_0 conda-forge nbformat 4.4.0 py_1 conda-forge notebook 6.0.1 py36_0 conda-forge numpy 1.17.3 py36hc71023c_0 conda-forge openjpeg 2.3.1 hb24c2e3_1 conda-forge openssl 1.1.1c hfa6e2cd_0 conda-forge pandas 0.25.2 py36he350917_0 conda-forge pandoc 2.7.3 0 conda-forge pandocfilters 1.4.2 py_1 conda-forge parso 0.5.1 py_0 conda-forge pcre 8.43 h6538335_0 conda-forge pickleshare 0.7.5 py36_1000 conda-forge pip 19.3.1 py36_0 conda-forge plotly 4.2.1 py_0 conda-forge plotly-geo 1.0.0 py_0 plotly poppler 0.67.0 h92819f6_7 conda-forge poppler-data 0.4.9 1 conda-forge postgresql 11.5 h06f7779_1 conda-forge proj 6.2.0 ha7a8c7b_1 conda-forge prometheus_client 0.7.1 py_0 conda-forge prompt_toolkit 2.0.10 py_0 conda-forge pygments 2.4.2 py_0 conda-forge pyparsing 2.4.2 py_0 conda-forge pyproj 2.4.0 py36h77f86b8_0 conda-forge pyqt 5.12.3 py36h6538335_0 conda-forge pyqt5-sip 4.19.18 pypi_0 pypi pyqtwebengine 5.12.1 pypi_0 pypi pyrsistent 0.15.5 py36hfa6e2cd_0 conda-forge python 3.6.7 he025d50_1005 conda-forge python-dateutil 2.8.0 py_0 conda-forge pytz 2019.3 py_0 conda-forge pywin32 224 py36hfa6e2cd_1000 conda-forge pywinpty 0.5.5 py36_1000 conda-forge pyzmq 18.1.0 py36h16f9016_0 conda-forge qt 5.12.5 h7ef1ec2_0 conda-forge qtconsole 4.5.5 py_0 conda-forge retrying 1.3.3 py_2 conda-forge rtree 0.8.3 py36h21ff451_1002 conda-forge send2trash 1.5.0 py_0 conda-forge setuptools 41.5.1 py36_0 conda-forge shapely 1.6.4 py36ha35856d_1006 conda-forge six 1.12.0 py36_1000 conda-forge sqlite 3.30.1 hfa6e2cd_0 conda-forge tbb 2018.0.5 he980bc4_0 conda-forge terminado 0.8.2 py36_0 conda-forge testpath 0.4.2 py_1001 conda-forge tiledb 1.6.2 h30b6f50_1 conda-forge tk 8.6.9 hfa6e2cd_1003 conda-forge tornado 6.0.3 py36hfa6e2cd_0 conda-forge traitlets 4.3.3 py36_0 conda-forge vc 14.1 h0510ff6_4 vs2015_runtime 14.16.27012 hf0eaf9b_0 wcwidth 0.1.7 py_1 conda-forge webencodings 0.5.1 py_1 conda-forge wheel 0.33.6 py36_0 conda-forge widgetsnbextension 3.5.1 py36_0 conda-forge wincertstore 0.2 py36_1002 conda-forge winpty 0.4.3 4 conda-forge xerces-c 3.2.2 h6538335_1004 conda-forge xz 5.2.4 h2fa13f4_1001 conda-forge zeromq 4.3.2 h6538335_2 conda-forge zipp 0.6.0 py_0 conda-forge zlib 1.2.11 h2fa13f4_1006 conda-forge zstd 1.4.0 hd8a0e53_0 conda-forge ```


Details about conda and system ( conda info ):

``` $ conda info (base) C:\Users\SSP>conda info active environment : geo_env active env location : C:\Users\SSP\Anaconda3\envs\geo_env shell level : 2 user config file : C:\Users\SSP\.condarc populated config files : C:\Users\SSP\.condarc C:\Users\SSP\Anaconda3\envs\geo_env\.condarc conda version : 4.7.12 conda-build version : 3.18.9 python version : 3.7.4.final.0 virtual packages : __cuda=10.1 base environment : C:\Users\SSP\Anaconda3 (writable) channel URLs : https://conda.anaconda.org/conda-forge/win-64 https://conda.anaconda.org/conda-forge/noarch https://repo.anaconda.com/pkgs/main/win-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/r/win-64 https://repo.anaconda.com/pkgs/r/noarch https://repo.anaconda.com/pkgs/msys2/win-64 https://repo.anaconda.com/pkgs/msys2/noarch package cache : C:\Users\SSP\Anaconda3\pkgs C:\Users\SSP\.conda\pkgs C:\Users\SSP\AppData\Local\conda\conda\pkgs envs directories : C:\Users\SSP\Anaconda3\envs C:\Users\SSP\.conda\envs C:\Users\SSP\AppData\Local\conda\conda\envs platform : win-64 user-agent : conda/4.7.12 requests/2.22.0 CPython/3.7.4 Windows/10 Windows/10.0.18362 administrator : True netrc file : None offline mode : False ```
ocefpaf commented 5 years ago

Does launching jupyter notebook from a new environment make it so it only looks at packages within that environment?

Yes. That is why we always recommend environment. You package list seems OK. Looks like this may be a problem with plotly. In theory shapely, which you have in the environment, should be equivalent to pyshp, which you do not. You can try to install pyshp too and see if that forces plotly to work as expected.

saswat commented 5 years ago

Thanks so much!!! that actually fixed it.

I really appreciate your time, I'm quite new to anaconda and am not familiar with navigating these sorts of issues.