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Unable to import Seaborn into IBM Watson using Python 3.7

I am getting a similar error while trying to import Seaborn into IBM Watson Studio for my Data Science Final Assignment. Could someone please help?
I checked Seaborn already exists in packages. However, when I try to install Conda using below command
!conda install -c anaconda seaborn -y
I get the following warnings/errors.
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: done
## Package Plan ##
environment location: /opt/conda/envs/Python-3.7-main
added / updated specs:
- seaborn
The following packages will be downloaded:
package | build
---------------------------|-----------------
entrypoints-0.3 | py37_0 12 KB anaconda
fontconfig-2.13.0 | h9420a91_0 291 KB anaconda
icu-58.2 | he6710b0_3 22.7 MB anaconda
jupyter_client-6.1.7 | py_0 76 KB anaconda
libpng-1.6.37 | hbc83047_0 364 KB anaconda
libuuid-1.0.3 | h1bed415_2 16 KB anaconda
libxcb-1.14 | h7b6447c_0 610 KB anaconda
libxml2-2.9.10 | hb55368b_3 1.3 MB anaconda
lz4-c-1.9.2 | heb0550a_3 203 KB anaconda
markupsafe-1.1.1 | py37h14c3975_1 26 KB anaconda
mistune-0.8.4 |py37h14c3975_1001 53 KB anaconda
ncurses-6.2 | he6710b0_1 1.1 MB anaconda
packaging-20.4 | py_0 35 KB anaconda
pandocfilters-1.4.2 | py37_1 13 KB anaconda
pyjwt-1.7.1 | py37_0 32 KB anaconda
webencodings-0.5.1 | py37_1 19 KB anaconda
------------------------------------------------------------
Total: 26.8 MB
The following NEW packages will be INSTALLED:
The following packages will be DOWNGRADED:
ibm-wsrt-py37main~ 0.0.0-2020 --> custom-2020
Downloading and Extracting Packages
icu-58.2 | 22.7 MB | ###################################9 | 97% WARNING conda.gateways.disk.delete:unlink_or_rename_to_trash(140): Could not remove or rename /opt/conda/pkgs/icu-58.2-he6710b0_3/share/icu/58.2/config/mh-linux. Please remove this file manually (you may need to reboot to free file handles)
WARNING conda.gateways.disk.delete:unlink_or_rename_to_trash(140): Could not remove or rename /opt/conda/pkgs/icu-58.2-he6710b0_3/share/icu/58.2/install-sh. Please remove this file manually (you may need to reboot to free file handles)
WARNING conda.gateways.disk.delete:unlink_or_rename_to_trash(140): Could not remove or rename /opt/conda/pkgs/icu-58.2-he6710b0_3/share/icu/58.2/LICENSE. Please remove this file manually (you may need to reboot to free file handles)
InvalidArchiveError('Error with archive /opt/conda/pkgs/jupyter_client-6.1.7-py_0.tar.bz2. You probably need to delete and re-download or re-create this file. Message from libarchive was:\n\nCould not unlink')}

Installing Python package will download, install, and remove other packages

I want to install cvxopt in Anaconda Python. Here's the version of my software:
$ python --version
Python 3.6.5 :: Anaconda, Inc.
$ conda --version
conda 4.5.11
$ anaconda --version
anaconda Command line client (version 1.6.14)
I try to install by typing:
conda install cvxopt
I was prompted that about 40 packages will be downloaded, about 10 NEW packages will be installed, the package anaconda will be removed, and about 25 packages will be updated?
Are the NEW packages dependencies?
Why will conda remove the anaconda package? Isn't conda a part of anaconda?
Here is the full output:
Solving environment: done
## Package Plan ##
environment location: /usr/local/anaconda3
added / updated specs:
- cvxopt
The following packages will be downloaded:
package | build
---------------------------|-----------------
suitesparse-5.2.0 | h171a5a3_0 2.4 MB
openssl-1.1.1a | h7b6447c_0 5.0 MB
freetype-2.9.1 | h8a8886c_1 822 KB
harfbuzz-1.8.8 | hffaf4a1_0 863 KB
libssh2-1.8.0 | h1ba5d50_4 233 KB
cairo-1.14.12 | h8948797_3 1.3 MB
libstdcxx-ng-8.2.0 | hdf63c60_1 2.9 MB
conda-4.6.1 | py36_0 1.7 MB
glpk-4.65 | h3ceedfd_2 1.1 MB
expat-2.2.6 | he6710b0_0 187 KB
krb5-1.16.1 | h173b8e3_7 1.4 MB
tbb-2018.0.5 | h6bb024c_0 1.4 MB
sqlite-3.26.0 | h7b6447c_0 1.9 MB
cvxopt-1.2.0 | py36h9e0dedd_0 537 KB
glib-2.56.2 | hd408876_0 5.0 MB
python-3.6.8 | h0371630_0 34.4 MB
certifi-2018.11.29 | py36_0 146 KB
gsl-2.4 | h14c3975_4 2.6 MB
cryptography-2.4.2 | py36h1ba5d50_0 618 KB
libuuid-1.0.3 | h1bed415_2 16 KB
curl-7.63.0 | hbc83047_1000 145 KB
libgcc-ng-8.2.0 | hdf63c60_1 7.6 MB
fribidi-1.0.5 | h7b6447c_0 112 KB
ca-certificates-2018.12.5 | 0 123 KB
pango-1.42.3 | h8589676_0 522 KB
libpng-1.6.36 | hbc83047_0 346 KB
pycurl-7.43.0.2 | py36h1ba5d50_0 185 KB
tk-8.6.8 | hbc83047_0 3.1 MB
qt-5.9.7 | h5867ecd_1 85.9 MB
mkl-2018.0.3 | 1 198.7 MB
libcurl-7.63.0 | h20c2e04_1000 550 KB
metis-5.1.0 | hf484d3e_4 4.1 MB
fontconfig-2.13.0 | h9420a91_0 291 KB
matplotlib-3.0.2 | py36h5429711_0 6.5 MB
pillow-5.4.1 | py36h34e0f95_0 627 KB
------------------------------------------------------------
Total: 373.2 MB
The following NEW packages will be INSTALLED:
cvxopt: 1.2.0-py36h9e0dedd_0
fribidi: 1.0.5-h7b6447c_0
glpk: 4.65-h3ceedfd_2
gsl: 2.4-h14c3975_4
krb5: 1.16.1-h173b8e3_7
libuuid: 1.0.3-h1bed415_2
metis: 5.1.0-hf484d3e_4
suitesparse: 5.2.0-h171a5a3_0
tbb: 2018.0.5-h6bb024c_0
The following packages will be REMOVED:
anaconda: 5.2.0-py36_3
The following packages will be UPDATED:
ca-certificates: 2018.03.07-0 --> 2018.12.5-0
cairo: 1.14.12-h7636065_2 --> 1.14.12-h8948797_3
certifi: 2018.4.16-py36_0 --> 2018.11.29-py36_0
conda: 4.5.11-py36_0 --> 4.6.1-py36_0
cryptography: 2.2.2-py36h14c3975_0 --> 2.4.2-py36h1ba5d50_0
curl: 7.60.0-h84994c4_0 --> 7.63.0-hbc83047_1000
expat: 2.2.5-he0dffb1_0 --> 2.2.6-he6710b0_0
fontconfig: 2.12.6-h49f89f6_0 --> 2.13.0-h9420a91_0
freetype: 2.8-hab7d2ae_1 --> 2.9.1-h8a8886c_1
glib: 2.56.1-h000015b_0 --> 2.56.2-hd408876_0
harfbuzz: 1.7.6-h5f0a787_1 --> 1.8.8-hffaf4a1_0
libcurl: 7.60.0-h1ad7b7a_0 --> 7.63.0-h20c2e04_1000
libgcc-ng: 7.2.0-hdf63c60_3 --> 8.2.0-hdf63c60_1
libpng: 1.6.34-hb9fc6fc_0 --> 1.6.36-hbc83047_0
libssh2: 1.8.0-h9cfc8f7_4 --> 1.8.0-h1ba5d50_4
libstdcxx-ng: 7.2.0-hdf63c60_3 --> 8.2.0-hdf63c60_1
matplotlib: 2.2.2-py36h0e671d2_1 --> 3.0.2-py36h5429711_0
mkl: 2018.0.2-1 --> 2018.0.3-1
openssl: 1.0.2o-h20670df_0 --> 1.1.1a-h7b6447c_0
pango: 1.41.0-hd475d92_0 --> 1.42.3-h8589676_0
pillow: 5.1.0-py36h3deb7b8_0 --> 5.4.1-py36h34e0f95_0
pycurl: 7.43.0.1-py36hb7f436b_0 --> 7.43.0.2-py36h1ba5d50_0
python: 3.6.5-hc3d631a_2 --> 3.6.8-h0371630_0
qt: 5.9.5-h7e424d6_0 --> 5.9.7-h5867ecd_1
sqlite: 3.23.1-he433501_0 --> 3.26.0-h7b6447c_0
tk: 8.6.7-hc745277_3 --> 8.6.8-hbc83047_0
Proceed ([y]/n)? n
CondaSystemExit: Exiting.

The anaconda package is called a "meta-package" because it does not contain any code itself, but instead specifies dependencies of other packages that should be installed. The package cvoptx is not one of the packages specified by the anaconda package, so if you try to install cvoptx, there is a conflict that conda resolves by removing the anaconda package (since you give cvoptx higher priority by specifying as required to be installed in the environment).
conda and anaconda are separate, and have separate versions. conda is the command line interface that allows you to install, update, and remove packages and environments. anaconda is described above.
Finally (and confusingly), the anaconda command on the command line is provided by the anaconda-client package, not the anaconda package. If you want to see the version of Anaconda that is installed, use conda list anaconda. If you want the version of the anaconda-client command line tool, use anaconda --version. The anaconda-client is used to upload packages and environments to https://anaconda.org

The best way is to install it in a separate environment. It is recommended to have different environments for each project. I tend to avoid mixing project requirements together. For the project using cvxopt, I would do:
conda create --name cvx python=3.6
So here I create an environment called cvx that has Python 3.6
This will download all needed packages for Python36. Since it is a clean environment, there would be no upgrading or downgrading.
After that you can activate your environment as:
conda activate cvx
conda install -c conda-forge cvxopt
In these environment you have cvxopt. You can the build your project and run it in these environment. If you need extra packages, you can do:
conda install -n cvxopt PACKAGESNAME
Here is everything you need to know to work with environments https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html

spyder doesn't launch after installing pytorch

I installed pytorch but after that Spyder can no longer be launched. Here are the terminal info:
conda install pytorch torchvision -c pytorch Solving environment: done
==> WARNING: A newer version of conda exists. <== current version: 4.5.10 latest version: 4.5.11
Please update conda by running
$ conda update -n base -c defaults conda
Package Plan
environment location: /anaconda3/envs/base_py36
added / updated specs:
- pytorch
- torchvision
The following packages will be downloaded:
package | build
---------------------------|-----------------
torchvision-0.2.1 | py36_1 123 KB pytorch
scipy-1.1.0 | py36hf1f7d93_0 15.4 MB
scikit-learn-0.20.0 | py36h4f467ca_1 5.4 MB
numpy-base-1.15.2 | py36h8a80b8c_1 4.1 MB
numpy-1.11.3 | py36heee0a97_5 3.4 MB
ninja-1.8.2 | py36h04f5b5a_1 93 KB
pytorch-0.4.1 |py36_cuda0.0_cudnn0.0_1 10.0 MB pytorch
------------------------------------------------------------
Total: 38.5 MB
The following NEW packages will be INSTALLED:
ninja: 1.8.2-py36h04f5b5a_1
pytorch: 0.4.1-py36_cuda0.0_cudnn0.0_1 pytorch
torchvision: 0.2.1-py36_1 pytorch
The following packages will be REMOVED:
accelerate: 2.3.1-np111py36_0
The following packages will be UPDATED:
mkl: 11.3.3-0 --> 2019.0-118
numexpr: 2.6.7-py36hde7755b_0 --> 2.6.8-py36h1dc9127_0
numpy: 1.11.3-py36_nomklh8ecaf62_5 --> 1.11.3-py36heee0a97_5
numpy-base: 1.15.0-py36he97cb71_0 --> 1.15.2-py36h8a80b8c_1
scikit-learn: 0.19.1-py36_nomklhde7755b_0 --> 0.20.0-py36h4f467ca_1
scipy: 1.1.0-py36_nomklh7cd7d8e_0 --> 1.1.0-py36hf1f7d93_0
The following packages will be DOWNGRADED:
blas: 1.0-openblas --> 1.0-mkl
Proceed ([y]/n)? y
Downloading and Extracting Packages torchvision-0.2.1 | 123 KB |
############################### | 100% scipy-1.1.0 | 15.4 MB | ##################################### | 100% scikit-learn-0.20.0 | 5.4 MB |
############################### | 100% numpy-base-1.15.2 | 4.1 MB | ##################################### | 100% numpy-1.11.3 | 3.4 MB | ##################################### | 100%
ninja-1.8.2 | 93 KB |
############################### | 100% pytorch-0.4.1 | 10.0 MB | ##################################### | 100% Preparing transaction: done

I don't know if you have solved your issue, but in case you have and someone else comes across this question or you haven't and are still waiting:
I came across your post as a result of having the same thing happen to me...
It would seem that all I had to do was "conda update all" for it to start working again!

I came across it too. And I tried reopen Anaconda Navigator and it worked....

Anaconda - Install blpapi in environment

I have py2.7 as my original Anaconda install, and have installed py3.4 in an environment named py3.
I cannot seem to be able to install blpapi, the Bloomberg API library, in the py3 environment.
Once I activate py3, conda install blpapi cannot find the package, whereas pip install blpapi tells me that:
Requirement already satisfied: blpapi in C:\users\pythonic\programs\anaconda\lib\site-packages
Because it finds the package installed for python 2.7
If I try to install via the executable from here it tells me that it cannot find python 3.4 in the registry.
How do I install this package?
Edit
Apparently the DSM channel does not have the py3.5 version anymore but this channel does
https://anaconda.org/macinv/blpapi/files

One solution would be creating a Python 3.5 environment:
conda create -n py35 python=3.5
activating it:
activate py35
and installing blpapi form the channel dsm:
conda install -c dsm blpapi
The channel dsm is an Anaconda channel. It provides these files:
win-64/blpapi-3.9.0-py35_0.tar.bz2
win-64/blpapi-3.5.5-py27_0.tar.bz2
linux-64/blpapi-3.5.5-py27_0.tar.bz2
This means blpapi is available for Windows for Python 2.7 and 3.5 but not for 3.4.
To find a package, enter the package name in the Anaconda search window (top of page).

In addition to Mike Müller's answer above, I thought I would add a section on the anaconda search utility for finding packages hosted on https://anaconda.org/.
$ anaconda search blpapi
Using Anaconda API: https://api.anaconda.org
Packages:
Name | Version | Package Types | Platforms | Builds
------------------------- | ------ | --------------- | --------------- | ----------
conda-forge/blpapi | 3.9.2 | conda | linux-64, win-64, osx-64 | py27h2d50403_0, py36he980bc4_0, py36h2d50403_0, py27hdc96acc_0
: Python SDK for Bloomberg BLPAPI (<=3.9)
dsm/blpapi | 3.9.0 | conda | linux-64, win-64 | py36_0, py27_0
josh/blpapi | 3.5.5 | conda | linux-64 | py27_0
macinv/blpapi | 3.9.0 | conda | linux-64, win-64 | py36_0, py27_0, py35_0, py34_0
mbonix/blpapi | 3.9.0 | conda | win-64 | py36_0
: Bloomberg's Open Market Data Initiative is part of the company's ongoing effort to foster open solutions for the financial services industry.
p-vg/blpapi | 3.9.2 | conda | linux-64, win-64 | py36h6538335_0, py27hc56fc5f_0, py36hf484d3e_0, py27hf484d3e_0
: interface for Bloomberg API services using the Python programming language
Found 6 packages
Depending on the version of python and platform you are interested in, there are a varierty of options available.

Anaconda/MacOS: Change default python version

I was using python with anaconda on osx 10.8 when spyder crashed. When I tried to restart it, the launcher showed it as uninstalled. I figured there might be something wrong with anaconda, so I restarted my computer, but the problem persisted.
Looking into it, I noticed the default version of python had been changed:
$ python --version
Python 3.4.1 :: Continuum Analytics, Inc.
I tried changing it back by using Apple's defaults write, relinking python with ln -sf, simply setting an alias python=python2.7, to no effect.
Then I tried removing python3 with conda, but conda remove python3 won't do the trick. Searching for packages produces this:
$ conda search python
Fetching package metadata: ..
(...)
python 1.0.1 0 defaults
(...)
. 2.7.5 2 defaults
. 2.7.5 3 defaults
(...)
* 3.4.1 0 defaults
I also looked up Continuum docs, and they recommend leaving 2.7 as standard and using an Anaconda environment if I want to use a different version, which doesn't help me.
Does anybody have any idea of how to change default version back to 2.7?
(Specs are: anaconda 1.7.0, osx 10.8.5, conda 3.5.2)

Alright, I found a similar problem in the Continuum mailing list.
This was solved by re-installing python through conda
$ conda install python=2.7
Fetching package metadata: ..
Solving package specifications: .
Package plan for installation in environment /Users/kadu/anaconda:
The following packages will be downloaded:
package | build
---------------------------|-----------------
conda-3.5.2 | py27_0 135 KB
pycosat-0.6.1 | py27_0 57 KB
python-2.7.6 | 2 16.5 MB
pyyaml-3.11 | py27_0 149 KB
requests-2.3.0 | py27_0 564 KB
------------------------------------------------------------
Total: 17.4 MB
The following packages will be UN-linked:
package | build
---------------------------|-----------------
conda-3.5.2 | py34_0
pycosat-0.6.1 | py34_0
python-3.4.1 | 0
pyyaml-3.11 | py34_0
requests-2.3.0 | py34_0
The following packages will be linked:
package | build
---------------------------|-----------------
conda-3.5.2 | py27_0 hard-link
pycosat-0.6.1 | py27_0 hard-link
python-2.7.6 | 2 hard-link
pyyaml-3.11 | py27_0 hard-link
requests-2.3.0 | py27_0 hard-link
Proceed ([y]/n)?
This can also be used to change which is the default package under anaconda environments:
$ conda install python=3.4
Fetching package metadata: ..
Solving package specifications: .
Package plan for installation in environment /Users/kadu/anaconda:
The following packages will be UN-linked:
package | build
---------------------------|-----------------
conda-3.5.2 | py27_0
pycosat-0.6.1 | py27_0
python-2.7.6 | 2
pyyaml-3.11 | py27_0
requests-2.3.0 | py27_0
The following packages will be linked:
package | build
---------------------------|-----------------
conda-3.5.2 | py34_0 hard-link
pycosat-0.6.1 | py34_0 hard-link
python-3.4.1 | 0 hard-link
pyyaml-3.11 | py34_0 hard-link
requests-2.3.0 | py34_0 hard-link
Proceed ([y]/n)?
However, this would require manually changing the builds to any other packages you use. I had to reinstall spyder, which seems to have caused the bug in the first place and was presumably reinstalled when I tried to launch it under the wrong version. All the other libraries, which I didn't try to reinstall, are still working fine under 2.7.