Develop Reference

Unable to launch Spyder IDE Linux. Error: PyQt5 5.9+ is required (found None)

I am running Spyder IDE on Red Hat Linux. I installed Spyder in a virtual environment as outlined https://docs.spyder-ide.org/current/installation.html and this was running without a problem. I now following message when I launch
Traceback (most recent call last):
File "/home/<my_name>/spyder-env/bin/spyder", line 8, in <module>
sys.exit(main())
File "/home/<my_name>/spyder-env/lib64/python3.9/site-packages/spyder/app/start.py", line 248, in main
from spyder.app import mainwindow
File "/home/<my_name>/spyder-env/lib64/python3.9/site-packages/spyder/app/mainwindow.py", line 41, in <module>
requirements.check_qt()
File "/home/<my_name>/spyder-env/lib64/python3.9/site-packages/spyder/requirements.py", line 54, in check_qt
show_warning("Please check Spyder installation requirements:\n"
File "/home/<my_name>/spyder-env/lib64/python3.9/site-packages/spyder/requirements.py", line 32, in show_warning
raise RuntimeError(message)
RuntimeError: Please check Spyder installation requirements:
PyQt5 5.9+ is required (found None).
Here are a list of packages and versions I have installed, with PyQT5
python3 -m pip list
Package Version
----------------------------- -------------------
absl-py 1.0.0
alabaster 0.7.12
arrow 1.2.2
astroid 2.11.3
asttokens 2.0.5
astunparse 1.6.3
atomicwrites 1.4.0
attrs 21.4.0
autopep8 1.6.0
Babel 2.10.1
backcall 0.2.0
beautifulsoup4 4.11.1
binaryornot 0.4.4
black 22.3.0
bleach 5.0.0
cachetools 5.0.0
certifi 2021.10.8
cffi 1.15.0
chardet 4.0.0
charset-normalizer 2.0.12
click 8.1.3
cloudpickle 2.0.0
cookiecutter 1.7.3
cryptography 37.0.1
cycler 0.11.0
deap 1.3.1
debugpy 1.6.0
decorator 5.1.1
defusedxml 0.7.1
Deprecated 1.2.13
diff-match-patch 20200713
dill 0.3.4
docutils 0.17.1
entrypoints 0.4
executing 0.8.3
fastjsonschema 2.15.3
flake8 4.0.1
flatbuffers 2.0
fonttools 4.33.3
gast 0.5.3
google-auth 2.6.6
google-auth-oauthlib 0.4.6
google-pasta 0.2.0
grpcio 1.44.0
h5py 3.6.0
idna 3.3
imagesize 1.3.0
imbalanced-learn 0.9.0
imblearn 0.0
importlib-metadata 4.11.3
inflection 0.5.1
intervaltree 3.1.0
ipykernel 6.13.0
ipython 7.32.0
ipython-genutils 0.2.0
isort 5.10.1
jedi 0.18.1
jeepney 0.8.0
jellyfish 0.9.0
Jinja2 3.0.3
jinja2-time 0.2.0
joblib 1.1.0
jsonschema 4.4.0
jupyter_client 7.3.5
jupyter-core 4.10.0
jupyterlab-pygments 0.2.2
keras 2.8.0
Keras-Preprocessing 1.1.2
keyring 23.5.0
kiwisolver 1.4.2
lazy-object-proxy 1.7.1
libclang 14.0.1
llvmlite 0.38.1
Markdown 3.3.6
MarkupSafe 2.1.1
matplotlib 3.5.1
matplotlib-inline 0.1.3
mccabe 0.6.1
mistune 0.8.4
mypy-extensions 0.4.3
nbclient 0.6.0
nbconvert 6.5.0
nbformat 5.3.0
nest-asyncio 1.5.5
numba 0.55.2
numpy 1.21.6
numpydoc 1.2.1
oauthlib 3.2.0
opt-einsum 3.3.0
packaging 21.3
pandas 1.4.3
pandocfilters 1.5.0
parso 0.8.3
pathspec 0.9.0
patsy 0.5.2
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.1.0
pip 22.2.2
platformdirs 2.5.2
pluggy 1.0.0
poyo 0.5.0
prompt-toolkit 3.0.29
protobuf 3.20.1
psutil 5.9.0
ptyprocess 0.7.0
pure-eval 0.2.2
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycodestyle 2.8.0
pycparser 2.21
pydocstyle 6.1.1
pyflakes 2.4.0
Pygments 2.12.0
pylint 2.13.7
pyls-spyder 0.4.0
PyOpenGL 3.1.6
pyparsing 3.0.8
PyQt5 5.12.3
PyQt5-Qt5 5.15.2
PyQt5-sip 12.10.1
PyQtWebEngine 5.12.1
PyQtWebEngine-Qt5 5.15.2
pyrsistent 0.18.1
python-dateutil 2.8.2
python-lsp-black 1.2.1
python-lsp-jsonrpc 1.0.0
python-lsp-server 1.5.0
python-slugify 6.1.2
pytz 2022.1
pyxdg 0.27
pyzmq 24.0.1
QDarkStyle 3.0.3
qstylizer 0.2.1
QtAwesome 1.1.1
qtconsole 5.3.2
QtPy 2.1.0
requests 2.27.1
requests-oauthlib 1.3.1
rope 1.0.0
rsa 4.8
Rtree 1.0.0
scikeras 0.9.0
scikit-learn 1.0.2
scipy 1.8.0
seaborn 0.11.2
SecretStorage 3.3.2
setuptools 50.3.2
six 1.16.0
sklearn 0.0
sktime 0.12.0
snowballstemmer 2.2.0
sortedcontainers 2.4.0
soupsieve 2.3.2.post1
Sphinx 4.5.0
sphinxcontrib-applehelp 1.0.2
sphinxcontrib-devhelp 1.0.2
sphinxcontrib-htmlhelp 2.0.0
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.3
sphinxcontrib-serializinghtml 1.1.5
spyder 5.3.3
spyder-kernels 2.3.3
statsmodels 0.13.2
stopit 1.1.2
tensorboard 2.8.0
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
tensorflow 2.8.0
tensorflow-io-gcs-filesystem 0.25.0
termcolor 1.1.0
text-unidecode 1.3
textdistance 4.2.2
tf-estimator-nightly 2.8.0.dev2021122109
threadpoolctl 3.1.0
three-merge 0.1.1
tinycss2 1.1.1
toml 0.10.2
tomli 2.0.1
torch 1.11.0
torchaudio 0.11.0
torchvision 0.12.0
tornado 6.2
TPOT 0.11.7
tqdm 4.64.0
traitlets 5.1.1
typing_extensions 4.2.0
ujson 5.2.0
update-checker 0.18.0
urllib3 1.26.9
varname 0.8.3
watchdog 2.1.9
wcwidth 0.2.5
webencodings 0.5.1
Werkzeug 2.1.2
whatthepatch 1.0.2
wheel 0.37.1
wrapt 1.14.0
wurlitzer 3.0.2
xgboost 1.6.0
yapf 0.32.0
zipp 3.8.0
This is on a shared machine, is it possible that someone could have changed something to cause the error? Does anyone have a fix?

Unsetting the library path seemed to resolve the issue. Something local on the machine was going wrong.
unset LD_LIBRARY_PATH

Error loading psycopg2 module in aws with django

I am trying to put my django's webpage to AWS. However, I receive a problem. It says to me that It can't find psycopg2 library.
Jul 9 17:09:09 ip-172-31-44-212 web: raise ImproperlyConfigured("Error loading psycopg2 module: %s" % e)
Jul 9 17:09:09 ip-172-31-44-212 web: django.core.exceptions.ImproperlyConfigured: Error loading psycopg2 module: No module named 'psycopg2'
Using pip list I can see what things are instaled in my virtual env. And it's clear that I have installed psycopg2.
(eb-virt) PS C:\Users\ANDRES\Desktop\GlobalcodigoTfg\project> pip list
Package Version
---------------------- ---------
APScheduler 3.7.0
asgiref 3.3.4
astroid 2.5.6
attrs 20.3.0
Automat 20.2.0
aws-psycopg2 1.2.1
backcall 0.2.0
beautifulsoup4 4.9.3
certifi 2020.12.5
cffi 1.14.5
chardet 4.0.0
click 7.1.2
colorama 0.4.4
constantly 15.1.0
cryptography 3.4.6
cssselect 1.1.0
cycler 0.10.0
decorator 4.4.2
dj-database-url 0.5.0
dj-places 4.0.0
Django 3.2.3
django-apscheduler 0.5.2
django-decouple 2.1
django-durationwidget 1.0.5
django-extensions 3.1.3
django-location-field 2.1.0
docopt 0.6.2
future 0.18.2
geocoder 1.38.1
geographiclib 1.52
geonames 0.1.3
geopy 2.1.0
googlemaps 4.4.5
graphviz 0.16
gunicorn 20.1.0
humanfriendly 9.1
hyperlink 21.0.0
idna 2.10
incremental 21.3.0
ipykernel 5.5.5
ipython 7.24.1
ipython-genutils 0.2.0
isort 5.7.0
itemadapter 0.2.0
itemloaders 1.0.4
jedi 0.18.0
jmespath 0.10.0
jupyter-client 6.1.12
jupyter-core 4.7.1
kiwisolver 1.3.1
lazy-object-proxy 1.5.2
llvmlite 0.36.0
lxml 4.6.2
Mako 1.1.4
MarkupSafe 2.0.1
matplotlib 3.4.2
matplotlib-inline 0.1.2
mccabe 0.6.1
mysql-connector-python 8.0.24
mysqlclient 2.0.3
networkx 2.5.1
numba 0.53.1
numpy 1.20.1
pandas 1.2.3
parsel 1.6.0
parso 0.8.2
pickleshare 0.7.5
Pillow 8.2.0
pip 21.1.3
pipreqs 0.4.10
plotly 4.14.3
prompt-toolkit 3.0.18
Protego 0.1.16
protobuf 3.15.8
proxyscrape 0.3.0
psycopg2 2.8
psycopg2-binary 2.9.1
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycparser 2.20
PyDispatcher 2.0.5
pydot 1.4.2
pydotplus 2.0.2
Pygments 2.9.0
pylint 2.8.2
pyOpenSSL 20.0.1
pyparsing 2.4.7
pyreadline 2.1
python-dateutil 2.8.1
python-decouple 3.4
pytz 2021.1
pywin32 301
pyzmq 22.1.0
queuelib 1.5.0
ratelim 0.1.6
requests 2.25.1
retrying 1.3.3
schedule 1.1.0
scipy 1.6.3
Scrapy 2.4.1
scrapy-proxy-pool 0.1.9
scrapy-splash 0.7.2
selenium 3.141.0
service-identity 18.1.0
setuptools 57.0.0
Shapely 1.7.1
six 1.15.0
soupsieve 2.2
spicy 0.16.0
sqlparse 0.4.1
timezonefinder 5.2.0
toml 0.10.2
tornado 6.1
trainline 0.1.2
traitlets 5.0.5
Twisted 21.2.0
twisted-iocpsupport 1.0.1
typing-extensions 3.10.0.0
tzlocal 2.1
tzwhere 3.0.3
unicodecsv 0.14.1
urllib3 1.26.4
uuid 1.30
w3lib 1.22.0
wcwidth 0.2.5
wheel 0.36.2
whitenoise 5.2.0
wrapt 1.12.1
yarg 0.1.9
zope.interface 5.2.0
So, psycopg2 is instaled.
I don't undernstand the problem. I have instaled psycopg2 library
Thank you

AttributeError: could not import keras and segmentation models

I am trying to import segmentation models and keras and i am getting an attribute error, i am using tensor flow version 2.5.0
import tensorflow as tf
import segmentation_models as sm
import glob
import cv2
import os
import numpy as np
from matplotlib import pyplot as plt
import keras
from keras.utils import normalize
from keras.metrics import MeanIoU
Attribute error :
AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'
I tried installing tensorflow 2.1.0 version to solve the issue as recommended in other question, but still the problem persists, any suggestion is greatly appreciated.
As suggested in comments , i am updating output of pip list
pip list :
pip list
Package Version
---------------------------------- -------------------
absl-py 0.12.0
alabaster 0.7.12
anaconda-client 1.8.0
anaconda-navigator 2.0.3
anaconda-project 0.10.0
antlr4-python3-runtime 4.8
anyio 2.2.0
appdirs 1.4.4
argh 0.26.2
argon2-cffi 20.1.0
arrow 0.13.1
asn1crypto 1.4.0
astroid 2.6.0
astropy 4.2.1
astunparse 1.6.3
async-generator 1.10
atomicwrites 1.4.0
attrs 21.2.0
autopep8 1.5.6
Babel 2.9.1
backcall 0.2.0
backports.functools-lru-cache 1.6.4
backports.shutil-get-terminal-size 1.0.0
backports.tempfile 1.0
backports.weakref 1.0.post1
beautifulsoup4 4.9.3
binaryornot 0.4.4
bitarray 2.1.0
bkcharts 0.2
black 21.4b2
bleach 3.3.0
bokeh 2.3.2
boto 2.49.0
Bottleneck 1.3.2
brotlipy 0.7.0
cachetools 4.2.2
certifi 2021.5.30
cffi 1.14.5
chardet 4.0.0
click 8.0.1
cloudpickle 1.6.0
clyent 1.2.2
colorama 0.4.4
conda 4.10.1
conda-build 3.21.4
conda-content-trust 0+unknown
conda-pack 0.6.0
conda-package-handling 1.7.3
conda-repo-cli 1.0.4
conda-token 0.3.0
conda-verify 3.4.2
contextlib2 0.6.0.post1
cookiecutter 1.7.2
cryptography 3.4.7
cycler 0.10.0
Cython 0.29.23
cytoolz 0.11.0
dask 2021.6.2
decorator 4.4.2
defusedxml 0.7.1
detectron2 0.4.1
diff-match-patch 20200713
distributed 2021.6.2
docutils 0.17.1
efficientnet 1.0.0
entrypoints 0.3
et-xmlfile 1.1.0
fast-slic 0.4.0
fastcache 1.1.0
filelock 3.0.12
flake8 3.9.0
Flask 1.1.2
flatbuffers 1.12
fsspec 2021.6.0
future 0.18.2
fvcore 0.1.5.post20210609
gast 0.4.0
gco-wrapper 3.0.7
gevent 21.1.2
glob2 0.7
gmpy2 2.0.8
google-auth 1.31.0
google-auth-oauthlib 0.4.4
google-pasta 0.2.0
greenlet 1.1.0
grpcio 1.34.1
h5py 3.1.0
HeapDict 1.0.1
html5lib 1.1
hydra-core 1.1.0
idna 2.10
image-classifiers 1.0.0
imageio 2.9.0
imagesize 1.2.0
importlib-metadata 3.10.0
importlib-resources 5.1.4
ImSegm 0.1.8
inflection 0.5.1
iniconfig 1.1.1
intervaltree 3.1.0
iopath 0.1.8
ipykernel 5.3.4
ipython 7.22.0
ipython-genutils 0.2.0
ipywidgets 7.6.3
isort 5.9.1
itsdangerous 2.0.1
jdcal 1.4.1
jedi 0.17.2
jeepney 0.6.0
Jinja2 2.11.3
jinja2-time 0.2.0
joblib 1.0.1
json5 0.9.6
jsonschema 3.2.0
jupyter 1.0.0
jupyter-client 6.1.12
jupyter-console 6.4.0
jupyter-core 4.7.1
jupyter-packaging 0.7.12
jupyter-server 1.4.1
jupyterlab 3.0.14
jupyterlab-pygments 0.1.2
jupyterlab-server 2.4.0
jupyterlab-widgets 1.0.0
Keras 2.3.1
Keras-Applications 1.0.8
keras-nightly 2.5.0.dev2021032900
Keras-Preprocessing 1.1.2
keyring 23.0.1
kiwisolver 1.3.1
lazy-object-proxy 1.6.0
libarchive-c 2.9
llvmlite 0.36.0
locket 0.2.1
lxml 4.6.3
Markdown 3.3.4
MarkupSafe 1.1.1
matplotlib 3.4.2
mccabe 0.6.1
mistune 0.8.4
mkl-fft 1.3.0
mkl-random 1.2.1
mkl-service 2.3.0
mock 4.0.3
more-itertools 8.8.0
mpmath 1.2.1
msgpack 1.0.2
multipledispatch 0.6.0
mypy-extensions 0.4.3
navigator-updater 0.2.1
nbclassic 0.2.6
nbclient 0.5.3
nbconvert 6.1.0
nbformat 5.1.3
nest-asyncio 1.5.1
networkx 2.5.1
nibabel 3.2.1
nltk 3.6.2
nose 1.3.7
notebook 6.4.0
np-utils 0.5.12.1
numba 0.53.1
numexpr 2.7.3
numpy 1.19.5
numpydoc 1.1.0
oauthlib 3.1.1
olefile 0.46
omegaconf 2.1.0
opencv-python 4.4.0.46
openpyxl 3.0.7
opt-einsum 3.3.0
packaging 20.9
pandas 1.1.4
pandocfilters 1.4.3
parso 0.7.0
partd 1.2.0
patchify 0.2.3
path 16.0.0
pathlib2 2.3.5
pathspec 0.8.1
pathtools 0.1.2
patsy 0.5.1
pbr 5.6.0
pep8 1.7.1
pexpect 4.8.0
pickleshare 0.7.5
Pillow 8.2.0
pip 21.1.2
pkginfo 1.7.0
planar 0.4
pluggy 0.13.1
ply 3.11
portalocker 2.3.0
poyo 0.5.0
prometheus-client 0.11.0
prompt-toolkit 3.0.17
protobuf 3.17.3
psutil 5.8.0
ptyprocess 0.7.0
py 1.10.0
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycocotools 2.0.2
pycodestyle 2.6.0
pycosat 0.6.3
pycparser 2.20
pycurl 7.43.0.6
pydocstyle 6.1.1
pydot 1.4.2
pyerfa 2.0.0
pyflakes 2.2.0
Pygments 2.9.0
pylint 2.8.3
pyls-black 0.4.6
pyls-spyder 0.3.2
pyodbc 4.0.0-unsupported
pyOpenSSL 20.0.1
pyparsing 2.4.7
pyrsistent 0.17.3
PySocks 1.7.1
pytest 6.2.4
python-dateutil 2.8.1
python-jsonrpc-server 0.4.0
python-language-server 0.36.2
python-slugify 5.0.2
pytz 2021.1
PyWavelets 1.1.1
pyxdg 0.27
PyYAML 5.4.1
pyzmq 20.0.0
QDarkStyle 3.0.2
qstylizer 0.1.10
QtAwesome 1.0.2
qtconsole 5.1.0
QtPy 1.9.0
regex 2021.4.4
requests 2.25.1
requests-oauthlib 1.3.0
rope 0.19.0
rsa 4.7.2
Rtree 0.9.7
ruamel-yaml-conda 0.15.100
scikit-image 0.18.1
scikit-learn 0.24.2
scipy 1.5.4
seaborn 0.11.1
SecretStorage 3.3.1
segmentation-models 1.0.1
Send2Trash 1.5.0
setuptools 57.0.0
simplegeneric 0.8.1
singledispatch 0.0.0
sip 4.19.13
six 1.15.0
sniffio 1.2.0
snowballstemmer 2.1.0
sortedcollections 2.1.0
sortedcontainers 2.4.0
soupsieve 2.2.1
Sphinx 4.0.2
sphinxcontrib-applehelp 1.0.2
sphinxcontrib-devhelp 1.0.2
sphinxcontrib-htmlhelp 2.0.0
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.3
sphinxcontrib-serializinghtml 1.1.5
sphinxcontrib-websupport 1.2.4
spyder 5.0.3
spyder-kernels 2.0.3
SQLAlchemy 1.4.19
statsmodels 0.12.2
sympy 1.8
tables 3.6.1
tabulate 0.8.9
tblib 1.7.0
tensorboard 2.5.0
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.0
tensorflow 2.5.0
tensorflow-estimator 2.5.0
tensorflow-gpu 2.5.0
termcolor 1.1.0
terminado 0.9.4
testpath 0.5.0
testresources 2.0.1
text-unidecode 1.3
textdistance 4.2.1
threadpoolctl 2.1.0
three-merge 0.1.1
tifffile 2021.6.6
tinycss 0.4
toml 0.10.2
toolz 0.11.1
torch 1.6.0+cu101
torchvision 0.7.0+cu101
tornado 6.1
tqdm 4.51.0
traitlets 5.0.5
typed-ast 1.4.2
typing-extensions 3.7.4.3
ujson 4.0.2
unicodecsv 0.14.1
Unidecode 1.2.0
urllib3 1.26.5
watchdog 1.0.2
wcwidth 0.2.5
webencodings 0.5.1
Werkzeug 2.0.1
wheel 0.36.2
whichcraft 0.6.1
widgetsnbextension 3.5.1
wrapt 1.12.1
wurlitzer 2.1.0
xlrd 2.0.1
XlsxWriter 1.3.8
xlwt 1.3.0
xmltodict 0.12.0
yacs 0.1.8
yapf 0.31.0
zict 2.0.0
zipp 3.4.1
zope.event 4.5.0
zope.interface 5.3.0
Note: you may need to restart the kernel to use updated packages.

I have solved my issue by adding tf.compat.v1.enable_eager_execution() to import and it works fine
import tensorflow as tf
from tensorflow import keras
tf.compat.v1.enable_eager_execution()
import segmentation_models as sm
import glob
import cv2
import os
import numpy as np
from matplotlib import pyplot as plt
#import keras
from tensorflow.keras.utils import normalize
from tensorflow.keras.metrics import MeanIoU

How to store result of pip command into Pandas Datafarme

For getting the list of installed libraries, I run the following command in Jupyter Notebook:
!pip list
and I get the following as output:
Package Version
---------------------------------- ---------
alabaster 0.7.12
altair 4.1.0
anaconda-client 1.7.2
anaconda-navigator 1.9.7
anaconda-project 0.8.3
asn1crypto 0.24.0
astroid 2.2.5
astropy 3.2.1
atomicwrites 1.3.0
attrs 20.3.0
alabaster 0.7.12
altair 4.1.0
anaconda-client 1.7.2
anaconda-navigator 1.9.7
anaconda-project 0.8.3
asn1crypto 0.24.0
astroid 2.2.5
astropy 3.2.1
atomicwrites 1.3.0
attrs 20.3.0
Automat 20.2.0
azureml 0.2.7
Babel 2.7.0
backcall 0.1.0
backports.functools-lru-cache 1.5
backports.os 0.1.1
backports.shutil-get-terminal-size 1.0.0
backports.tempfile 1.0
backports.weakref 1.0.post1
beautifulsoup4 4.7.1
bitarray 0.9.3
bkcharts 0.2
bleach 3.1.0
bokeh 1.2.0
boto 2.49.0
boto3 1.14.61
botocore 1.17.61
Bottleneck 1.2.1
branca 0.4.1
category-encoders 2.2.2
certifi 2019.6.16
cffi 1.12.3
chardet 3.0.4
Click 7.0
click-spinner 0.1.10
cloudpickle 1.2.1
clyent 1.2.2
colorama 0.4.1
colorlog 4.2.1
comtypes 1.1.7
conda 4.7.10
conda-build 3.18.8
conda-package-handling 1.3.11
conda-verify 3.4.2
configparser 5.0.1
constantly 15.1.0
contextlib2 0.5.5
coverage 5.3
coveralls 2.1.2
cryptography 2.7
cycler 0.10.0
Cython 0.29.14
cytoolz 0.10.0
dacite 1.5.1
dask 2.1.0
decorator 4.4.0
defusedxml 0.6.0
distributed 2.1.0
docopt 0.6.2
docutils 0.14
entrypoints 0.3
et-xmlfile 1.0.1
fastcache 1.1.0
feature-engine 0.6.1
filelock 3.0.12
Flask 1.1.1
flit-core 2.3.0
folium 0.11.0
furl 2.1.0
future 0.17.1
gensim 3.8.3
genson 1.2.2
gevent 1.4.0
glob2 0.7
greenlet 0.4.15
h5py 2.9.0
heapdict 1.0.0
html5lib 1.0.1
hyperlink 20.0.1
hypothesis 5.41.2
idna 2.8
imageio 2.5.0
imagesize 1.1.0
imbalanced-learn 0.7.0
importlib-metadata 0.17
incremental 17.5.0
ipykernel 5.1.1
ipython 7.6.1
ipython-genutils 0.2.0
ipywidgets 7.5.0
isort 4.3.21
itsdangerous 1.1.0
jdcal 1.4.1
jedi 0.13.3
Jinja2 2.11.2
jmespath 0.10.0
joblib 0.13.2
json5 0.8.4
jsonschema 3.2.0
jupyter 1.0.0
jupyter-client 5.3.1
jupyter-console 6.0.0
jupyter-core 4.5.0
jupyterlab 1.0.2
jupyterlab-server 1.0.0
keyring 18.0.0
kiwisolver 1.1.0
lazy-object-proxy 1.4.1
libarchive-c 2.8
llvmlite 0.29.0
locket 0.2.0
lxml 4.5.2
MarkupSafe 1.1.1
matplotlib 3.1.0
mccabe 0.6.1
menuinst 1.4.16
mistune 0.8.4
mkl-fft 1.0.12
mkl-random 1.0.2
mkl-service 2.0.2
mock 3.0.5
more-itertools 7.0.0
mpmath 1.1.0
msgpack 0.6.1
multipledispatch 0.6.0
munch 2.5.0
navigator-updater 0.2.1
nbconvert 5.6.1
nbformat 4.4.0
networkx 2.3
nibabel 3.1.1
nltk 3.4.4
nose 1.3.7
notebook 6.0.0
numba 0.44.1
numexpr 2.6.9
numpy 1.19.2
numpydoc 0.9.1
olefile 0.46
openpyxl 2.6.2
orderedmultidict 1.0.1
packaging 20.4
pandas 1.1.3
pandocfilters 1.4.2
parso 0.5.0
partd 1.0.0
path.py 12.0.1
pathlib2 2.3.4
patsy 0.5.1
pep517 0.8.2
pep8 1.7.1
pickleshare 0.7.5
Pillow 6.1.0
pip 20.2.4
pkginfo 1.5.0.1
plotly 4.9.0
pluggy 0.12.0
ply 3.11
pmdarima 1.7.1
prometheus-client 0.7.1
prompt-toolkit 2.0.9
psutil 5.6.3
psycopg2 2.8.6
py 1.8.0
pycodestyle 2.5.0
pycosat 0.6.3
pycparser 2.19
pycrypto 2.6.1
pycurl 7.43.0.3
pyflakes 2.1.1
Pygments 2.4.2
PyHamcrest 2.0.2
pylint 2.3.1
pyodbc 4.0.26
pyOpenSSL 19.0.0
pyparsing 2.4.0
pyreadline 2.1
pyrsistent 0.14.11
PySocks 1.7.0
pytest 5.0.1
pytest-arraydiff 0.3
pytest-astropy 0.5.0
pytest-cov 2.10.1
pytest-doctestplus 0.3.0
pytest-openfiles 0.3.2
pytest-remotedata 0.3.1
python-dateutil 2.8.0
pytoml 0.1.21
pytz 2019.1
PyWavelets 1.0.3
pywin32 223
pywinpty 0.5.5
PyYAML 5.3.1
pyzmq 18.0.0
QtAwesome 0.5.7
qtconsole 4.5.1
QtPy 1.8.0
requests 2.22.0
requests-toolbelt 0.9.1
retrying 1.3.3
rope 0.14.0
ruamel-yaml 0.15.46
ruamel.yaml 0.16.12
ruamel.yaml.clib 0.2.2
s3transfer 0.3.3
scikit-image 0.15.0
scikit-learn 0.23.2
scipy 1.5.3
seaborn 0.10.1
Send2Trash 1.5.0
setuptools 41.0.1
simplegeneric 0.8.1
simplejson 3.17.2
singledispatch 3.4.0.3
six 1.12.0
sklearn 0.0
smart-open 2.1.1
snowballstemmer 1.9.0
sortedcollections 1.1.2
sortedcontainers 2.1.0
soupsieve 1.8
Sphinx 2.1.2
sphinxcontrib-applehelp 1.0.1
sphinxcontrib-devhelp 1.0.1
sphinxcontrib-htmlhelp 1.0.2
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.2
sphinxcontrib-serializinghtml 1.1.3
sphinxcontrib-websupport 1.1.2
spyder 3.3.6
spyder-kernels 0.5.1
SQLAlchemy 1.3.5
statsmodels 0.11.1
stumpy 1.5.0
sympy 1.4
tables 3.5.2
tabpy 2.3.1
tabulate 0.8.7
tblib 1.4.0
terminado 0.8.2
testpath 0.4.2
textblob 0.15.3
threadpoolctl 2.1.0
toml 0.10.1
toolz 0.10.0
tornado 6.0.3
tqdm 4.32.1
traitlets 4.3.2
Twisted 20.3.0
unicodecsv 0.14.1
urllib3 1.24.2
validators 0.16.0
wcwidth 0.1.7
webencodings 0.5.1
Werkzeug 0.15.4
wheel 0.33.4
widgetsnbextension 3.5.0
win-inet-pton 1.1.0
win-unicode-console 0.5
wincertstore 0.2
wrapt 1.11.2
xlrd 1.2.0
XlsxWriter 1.1.8
xlwings 0.15.8
xlwt 1.3.0
zict 1.0.0
zipp 0.5.1
zope.interface 5.2.0
How to store this result into a Pandas Dataframe? Just copying the data and pasting in two lists would do the job, but is there any code-based alternative to achieve this? In short, how to store the result of pip command into a Pandas Dataframe?
P.S: I referred here but was not of any help.

We can use os module to create the pip list, then we use pandas.read_csv with \s+ as seperator to read the pip list into a dataframe:
import os
import pandas as pd
# create pip list txt
os.system('pip list > pip_list.txt')
# read content into pandas df
df = pd.read_csv('pip_list.txt', sep=r'\s+', skiprows=[1])
# clean up
os.remove('pip_list.txt')
Package Version
0 appnope 0.1.0
1 argon2-cffi 20.1.0
2 astroid 2.4.2
3 async-generator 1.10
4 attrs 20.2.0
.. ... ...
100 urllib3 1.25.10
101 wcwidth 0.2.5
102 webencodings 0.5.1
103 wrapt 1.12.1
104 xlrd 1.2.0
[105 rows x 2 columns]

You can use subprocess to get the result in memory instead of creating a new file.
import subprocess
from io import StringIO
command = "pip list"
process = subprocess.Popen(command.split(), stdout=subprocess.PIPE)
output, error = process.communicate()
pd.read_csv(StringIO(output.decode("utf-8")), sep=r"\s*", skiprows=[1])

Importing stix2, ModuleNotFoundError: No module named 'six.moves.collections_abc'

I have issues importing the stix2 library regardless of the code I have written.
Following https://github.com/oasis-open/cti-python-stix2, I followed the installations instructions and performed
pip install stix2
I used Anaconda, Jupyter Notebook to run my python script.
When importing stix2
import stix2
I get the error ModuleNotFoundError: No module named 'six.moves.collections_abc'
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-25-2e32347d9df3> in <module>
----> 1 import stix2
~\Anaconda3\lib\site-packages\stix2\__init__.py in <module>
27 from .confidence import scales
28 from .datastore import CompositeDataSource
---> 29 from .datastore.filesystem import (
30 FileSystemSink, FileSystemSource, FileSystemStore,
31 )
~\Anaconda3\lib\site-packages\stix2\datastore\filesystem.py in <module>
9 import six
10
---> 11 from stix2 import v20, v21
12 from stix2.base import _STIXBase
13 from stix2.datastore import (
~\Anaconda3\lib\site-packages\stix2\v20\__init__.py in <module>
15 # flake8: noqa
16
---> 17 from .base import (
18 _DomainObject, _Extension, _Observable, _RelationshipObject, _STIXBase20,
19 )
~\Anaconda3\lib\site-packages\stix2\v20\base.py in <module>
1 """Base classes for STIX 2.0 type definitions."""
2
----> 3 from ..base import (
4 _DomainObject, _Extension, _Observable, _RelationshipObject, _STIXBase,
5 )
~\Anaconda3\lib\site-packages\stix2\base.py in <module>
17 MissingPropertiesError, MutuallyExclusivePropertiesError,
18 )
---> 19 from .markings import _MarkingsMixin
20 from .markings.utils import validate
21 from .utils import (
~\Anaconda3\lib\site-packages\stix2\markings\__init__.py in <module>
20
21
---> 22 from stix2.markings import granular_markings, object_markings
23
24
~\Anaconda3\lib\site-packages\stix2\markings\granular_markings.py in <module>
4 from stix2.markings import utils
5 from stix2.utils import is_marking
----> 6 from stix2.versioning import new_version
7
8
~\Anaconda3\lib\site-packages\stix2\versioning.py in <module>
7
8 import six
----> 9 from six.moves.collections_abc import Mapping
10
11 import stix2.base
ModuleNotFoundError: No module named 'six.moves.collections_abc'
Running the command "pip list" in the user home directory of the Anaconda command prompt verifies that stix2 and six is installed.
Package Version
---------------------------------- ---------
alabaster 0.7.12
anaconda-client 1.7.2
anaconda-navigator 1.9.7
anaconda-project 0.8.3
antlr4-python3-runtime 4.8
asn1crypto 1.0.1
astropy 3.2.1
atomicwrites 1.3.0
attackcti 0.3.3
attrs 19.2.0
Babel 2.7.0
backcall 0.1.0
backports.functools-lru-cache 1.5
backports.os 0.1.1
backports.shutil-get-terminal-size 1.0.0
backports.tempfile 1.0
backports.weakref 1.0.post1
beautifulsoup4 4.8.0
bitarray 1.0.1
bkcharts 0.2
bleach 3.1.0
bokeh 1.3.4
boto 2.49.0
Bottleneck 1.2.1
certifi 2019.9.11
cffi 1.12.3
chardet 3.0.4
Click 7.0
cloudpickle 1.2.2
clyent 1.2.2
colorama 0.4.1
comtypes 1.1.7
conda 4.7.12
conda-build 3.18.9
conda-package-handling 1.6.0
conda-verify 3.4.2
contextlib2 0.6.0
cryptography 2.7
cycler 0.10.0
Cython 0.29.13
cytoolz 0.10.0
dask 2.5.2
decorator 4.4.0
defusedxml 0.6.0
distributed 2.5.2
docutils 0.15.2
entrypoints 0.3
et-xmlfile 1.0.1
fastcache 1.1.0
filelock 3.0.12
Flask 1.1.1
fsspec 0.5.2
future 0.17.1
gevent 1.4.0
glob2 0.7
greenlet 0.4.15
h5py 2.9.0
HeapDict 1.0.1
html5lib 1.0.1
idna 2.8
imageio 2.6.0
imagesize 1.1.0
importlib-metadata 0.23
ipykernel 5.1.2
ipython 7.8.0
ipython-genutils 0.2.0
ipywidgets 7.5.1
isort 4.3.21
itsdangerous 1.1.0
jdcal 1.4.1
jedi 0.15.1
Jinja2 2.10.3
joblib 0.13.2
json5 0.8.5
jsonschema 3.0.2
jupyter 1.0.0
jupyter-client 5.3.3
jupyter-console 6.0.0
jupyter-core 4.5.0
jupyterlab 1.1.4
jupyterlab-server 1.0.6
keyring 18.0.0
kiwisolver 1.1.0
lazy-object-proxy 1.4.2
libarchive-c 2.8
llvmlite 0.29.0
locket 0.2.0
lxml 4.4.1
MarkupSafe 1.1.1
matplotlib 3.1.1
mccabe 0.6.1
menuinst 1.4.16
mistune 0.8.4
mkl-fft 1.0.14
mkl-random 1.1.0
mkl-service 2.3.0
mock 3.0.5
more-itertools 7.2.0
mpmath 1.1.0
msgpack 0.6.1
multipledispatch 0.6.0
navigator-updater 0.2.1
nbconvert 5.6.0
nbformat 4.4.0
networkx 2.3
nltk 3.4.5
nose 1.3.7
notebook 6.0.1
numba 0.45.1
numexpr 2.7.0
numpy 1.16.5
numpydoc 0.9.1
olefile 0.46
openpyxl 3.0.0
packaging 19.2
pandas 0.25.1
pandocfilters 1.4.2
parso 0.5.1
partd 1.0.0
path.py 12.0.1
pathlib2 2.3.5
patsy 0.5.1
pep8 1.7.1
pickleshare 0.7.5
Pillow 6.2.0
pip 20.2.4
pkginfo 1.5.0.1
pluggy 0.13.0
ply 3.11
prometheus-client 0.7.1
prompt-toolkit 2.0.10
psutil 5.6.3
py 1.8.0
pycodestyle 2.5.0
pycosat 0.6.3
pycparser 2.19
pycrypto 2.6.1
pycurl 7.43.0.3
pyflakes 2.1.1
Pygments 2.4.2
pylint 2.4.2
pyodbc 4.0.27
pyOpenSSL 19.0.0
pyparsing 2.4.2
pyreadline 2.1
pyrsistent 0.15.4
PySocks 1.7.1
pytest 5.2.1
pytest-arraydiff 0.3
pytest-astropy 0.5.0
pytest-doctestplus 0.4.0
pytest-openfiles 0.4.0
pytest-remotedata 0.3.2
python-dateutil 2.8.0
pytz 2019.3
PyWavelets 1.0.3
pywin32 223
pywinpty 0.5.5
PyYAML 5.1.2
pyzmq 18.1.0
QtAwesome 0.6.0
qtconsole 4.5.5
QtPy 1.9.0
requests 2.22.0
rope 0.14.0
ruamel-yaml 0.15.46
scikit-image 0.15.0
scikit-learn 0.21.3
scipy 1.3.1
seaborn 0.9.0
Send2Trash 1.5.0
setuptools 41.4.0
simplegeneric 0.8.1
simplejson 3.17.2
singledispatch 3.4.0.3
six 1.15.0
snowballstemmer 2.0.0
sortedcollections 1.1.2
sortedcontainers 2.1.0
soupsieve 1.9.3
Sphinx 2.2.0
sphinxcontrib-applehelp 1.0.1
sphinxcontrib-devhelp 1.0.1
sphinxcontrib-htmlhelp 1.0.2
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.2
sphinxcontrib-serializinghtml 1.1.3
sphinxcontrib-websupport 1.1.2
spyder 3.3.6
spyder-kernels 0.5.2
SQLAlchemy 1.3.9
statsmodels 0.10.1
stix2 2.0.2
stix2-patterns 1.3.1
sympy 1.4
tables 3.5.2
taxii2-client 2.2.2
tblib 1.4.0
terminado 0.8.2
testpath 0.4.2
toolz 0.10.0
tornado 6.0.3
tqdm 4.36.1
traitlets 4.3.3
typed-ast 1.4.1
unicodecsv 0.14.1
urllib3 1.24.2
wcwidth 0.1.7
webencodings 0.5.1
Werkzeug 0.16.0
wheel 0.33.6
widgetsnbextension 3.5.1
win-inet-pton 1.1.0
win-unicode-console 0.5
wincertstore 0.2
wrapt 1.11.2
xlrd 1.2.0
XlsxWriter 1.2.1
xlwings 0.15.10
xlwt 1.3.0
zict 1.0.0
zipp 0.6.0
I have also tried
pip install --ignore-installed six
From this link:
ModuleNotFoundError: No module named 'six.moves.collections_abc'
But it still does not work. What's the issue?

go to https://pypi.org/project/six/#files
download "six-1.14.0.tar.gz (33.9 kB)"
unzip it, copy and paste "six.py" into your source directory
import "six" module into your source code(import six)
run source script.

Created a new python script and ran the code there instead. It worked. Weird bug.