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AlphaPeel: numba fails to allocate array with layout A

I try to use AlphaPeel for some hybrid peeling. I followed the tools doc to create genotype.txt and pedigree.txt format as specified input.
From AlphaPeel doc:
Genotype file
Genotype files contain the input genotypes for each
individual. The first value in each line is the individual’s id. The
remaining values are the genotypes of the individual at each locus,
either 0, 1, or 2 (or 9 if missing). Example:
id1 1 1 2 0 1 1 1 1 1 0
id2 0 2 1 1 0 1 1 1 2 2
id3 1 2 0 1 2 1 0 1 2 0
id4 2 1 1 1 1 1 1 1 2 1
Pedigree file
Each line of a pedigree file has three values, the
individual’s id, their father’s id, and their mother’s id. "0"
represents an unknown id. Example:
id1 0 0
id2 0 0
id3 id1 id2
id4 id1 id2
But when I try to call AlphaPeel with :AlphaPeel -genotypes genotype.txt -pedigree pedigree.txt -runtype='multi' -out 1kg_22_seq
I recieve the following output :
Reading in AlphaImpute Format: genotype.txt
Cycle 0
Peeling Down, Generation 0
Peeling Down, Generation 1
Traceback (most recent call last):
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/errors.py", line 823, in new_error_context
yield
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/lowering.py", line 265, in lower_block
self.lower_inst(inst)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/lowering.py", line 439, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/lowering.py", line 626, in lower_assign
return self.lower_expr(ty, value)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/lowering.py", line 1368, in lower_expr
res = self.context.special_ops[expr.op](self, expr)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/np/ufunc/array_exprs.py", line 405, in _lower_array_expr
return npyimpl.numpy_ufunc_kernel(
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/np/npyimpl.py", line 360, in numpy_ufunc_kernel
output = _build_array(context, builder, ret_ty, sig.args, arguments)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/np/npyimpl.py", line 286, in _build_array
array_val = arrayobj._empty_nd_impl(context, builder, real_array_ty,
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/np/arrayobj.py", line 3923, in _empty_nd_impl
raise NotImplementedError(
NotImplementedError: Don't know how to allocate array with layout 'A'.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/oem/anaconda3/bin/AlphaPeel", line 33, in <module>
sys.exit(load_entry_point('AlphaPeel==1.1.0', 'console_scripts', 'AlphaPeel')())
File "/home/oem/anaconda3/lib/python3.9/site-packages/tinypeel/tinypeel.py", line 191, in main
runPeelingCycles(pedigree, peelingInfo, args, singleLocusMode = singleLocusMode)
File "/home/oem/anaconda3/lib/python3.9/site-packages/tinypeel/tinypeel.py", line 23, in runPeelingCycles
peelingCycle(pedigree, peelingInfo, args = args, singleLocusMode = singleLocusMode)
File "/home/oem/anaconda3/lib/python3.9/site-packages/tinypeel/tinypeel.py", line 46, in peelingCycle
Peeling.peel(family, Peeling.PEEL_DOWN, peelingInfo, singleLocusMode)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/dispatcher.py", line 487, in _compile_for_args
raise e
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/dispatcher.py", line 420, in _compile_for_args
return_val = self.compile(tuple(argtypes))
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/dispatcher.py", line 965, in compile
cres = self._compiler.compile(args, return_type)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/dispatcher.py", line 125, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/dispatcher.py", line 139, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/dispatcher.py", line 152, in _compile_core
cres = compiler.compile_extra(self.targetdescr.typing_context,
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/compiler.py", line 716, in compile_extra
return pipeline.compile_extra(func)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/compiler.py", line 452, in compile_extra
return self._compile_bytecode()
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/compiler.py", line 520, in _compile_bytecode
return self._compile_core()
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/compiler.py", line 499, in _compile_core
raise e
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/compiler.py", line 486, in _compile_core
pm.run(self.state)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/compiler_machinery.py", line 368, in run
raise patched_exception
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/compiler_machinery.py", line 356, in run
self._runPass(idx, pass_inst, state)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/compiler_lock.py", line 35, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/compiler_machinery.py", line 311, in _runPass
mutated |= check(pss.run_pass, internal_state)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/compiler_machinery.py", line 273, in check
mangled = func(compiler_state)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/typed_passes.py", line 394, in run_pass
lower.lower()
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/lowering.py", line 168, in lower
self.lower_normal_function(self.fndesc)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/lowering.py", line 222, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/lowering.py", line 251, in lower_function_body
self.lower_block(block)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/lowering.py", line 265, in lower_block
self.lower_inst(inst)
File "/home/oem/anaconda3/lib/python3.9/contextlib.py", line 137, in __exit__
self.gen.throw(typ, value, traceback)
File "/home/oem/anaconda3/lib/python3.9/site-packages/numba/core/errors.py", line 837, in new_error_context
raise newerr.with_traceback(tb)
numba.core.errors.LoweringError: Failed in nopython mode pipeline (step: native lowering)
Don't know how to allocate array with layout 'A'.
File "../../anaconda3/lib/python3.9/site-packages/tinypeel/Peeling/Peeling.py", line 86:
def peel(family, operation, peelingInfo, singleLocusMode) :
<source elided>
# We are estimating the parent's genotypes so the anterior term is ignored to avoid double counting.
childValues = posterior[child,:,:] * penetrance[child,:,:]
^
During: lowering "childValues = arrayexpr(expr=(<built-in function mul>, [Var($530binary_subscr.17, Peeling.py:86), Var($550binary_subscr.29, Peeling.py:86)]), ty=array(float32, 2d, A))" at /home/oem/anaconda3/lib/python3.9/site-packages/tinypeel/Peeling/Peeling.py (86)
My genotype.txt file contains 4 samples with 1603397 columns on each line.
My best guess here is that this might be due to the waynumba handles floats for faster computation. See here for a related question.
My python version is : python --version Python 3.9.12 and numba 0.56.4
My python packages list :
aiohttp 3.8.1
aiosignal 1.2.0
alabaster 0.7.12
AlphaPeel 1.0.0
anaconda-client 1.9.0
anaconda-navigator 2.1.4
anaconda-project 0.10.2
anyio 3.5.0
appdirs 1.4.4
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
arrow 1.2.2
astroid 2.6.6
astropy 5.0.4
asttokens 2.0.5
async-timeout 4.0.1
atomicwrites 1.4.0
attrs 21.4.0
Automat 20.2.0
autopep8 1.6.0
Babel 2.9.1
backcall 0.2.0
backports.functools-lru-cache 1.6.4
backports.tempfile 1.0
backports.weakref 1.0.post1
bcrypt 3.2.0
beautifulsoup4 4.11.1
binaryornot 0.4.4
bio 1.4.0
biopython 1.79
biothings-client 0.2.6
bitarray 2.4.1
bkcharts 0.2
black 19.10b0
bleach 4.1.0
bokeh 2.4.2
boto3 1.21.32
botocore 1.24.32
Bottleneck 1.3.4
brotlipy 0.7.0
cachetools 4.2.2
certifi 2021.10.8
cffi 1.15.0
chardet 4.0.0
charset-normalizer 2.0.4
click 8.0.4
cloudpickle 2.0.0
clyent 1.2.2
colorama 0.4.4
colorcet 2.0.6
conda 4.12.0
conda-build 3.21.8
conda-content-trust 0+unknown
conda-pack 0.6.0
conda-package-handling 1.8.1
conda-repo-cli 1.0.4
conda-token 0.3.0
conda-verify 3.4.2
constantly 15.1.0
cookiecutter 1.7.3
cryptography 3.4.8
cssselect 1.1.0
cycler 0.11.0
Cython 0.29.28
cytoolz 0.11.0
daal4py 2021.5.0
dask 2022.2.1
datashader 0.13.0
datashape 0.5.4
debugpy 1.5.1
decorator 5.1.1
defusedxml 0.7.1
diff-match-patch 20200713
distributed 2022.2.1
docutils 0.17.1
entrypoints 0.4
et-xmlfile 1.1.0
executing 0.8.3
fastjsonschema 2.15.1
filelock 3.6.0
flake8 3.9.2
Flask 1.1.2
fonttools 4.25.0
frozenlist 1.2.0
fsspec 2022.2.0
future 0.18.2
gensim 4.1.2
glob2 0.7
gmpy2 2.1.2
google-api-core 1.25.1
google-auth 1.33.0
google-cloud-core 1.7.1
google-cloud-storage 1.31.0
google-crc32c 1.1.2
google-resumable-media 1.3.1
googleapis-common-protos 1.53.0
greenlet 1.1.1
grpcio 1.42.0
h5py 3.6.0
HeapDict 1.0.1
holoviews 1.14.8
hvplot 0.7.3
hyperlink 21.0.0
idna 3.3
imagecodecs 2021.8.26
imageio 2.9.0
imagesize 1.3.0
importlib-metadata 4.11.3
incremental 21.3.0
inflection 0.5.1
iniconfig 1.1.1
intake 0.6.5
intervaltree 3.1.0
ipykernel 6.9.1
ipython 8.2.0
ipython-genutils 0.2.0
ipywidgets 7.6.5
isal 1.1.0
isort 5.9.3
itemadapter 0.3.0
itemloaders 1.0.4
itsdangerous 2.0.1
jdcal 1.4.1
jedi 0.18.1
jeepney 0.7.1
Jinja2 2.11.3
jinja2-time 0.2.0
jmespath 0.10.0
joblib 1.1.0
json5 0.9.6
jsonschema 4.4.0
jupyter 1.0.0
jupyter-client 6.1.12
jupyter-console 6.4.0
jupyter-core 4.9.2
jupyter-server 1.13.5
jupyterlab 3.3.2
jupyterlab-pygments 0.1.2
jupyterlab-server 2.10.3
jupyterlab-widgets 1.0.0
keyring 23.4.0
kiwisolver 1.3.2
lazy-object-proxy 1.6.0
libarchive-c 2.9
llvmlite 0.39.1
locket 0.2.1
lxml 4.8.0
Markdown 3.3.4
MarkupSafe 2.0.1
matplotlib 3.5.1
matplotlib-inline 0.1.2
mccabe 0.6.1
mistune 0.8.4
mkl-fft 1.3.1
mkl-random 1.2.2
mkl-service 2.4.0
mock 4.0.3
mpmath 1.2.1
msgpack 1.0.2
multidict 5.2.0
multipledispatch 0.6.0
munkres 1.1.4
mygene 3.2.2
mypy-extensions 0.4.3
navigator-updater 0.2.1
nbclassic 0.3.5
nbclient 0.5.13
nbconvert 6.4.4
nbformat 5.3.0
nest-asyncio 1.5.5
networkx 2.7.1
nltk 3.7
nose 1.3.7
notebook 6.4.8
numba 0.56.4
numexpr 2.8.1
numpy 1.21.5
numpydoc 1.2
olefile 0.46
openpyxl 3.0.9
packaging 21.3
pandas 1.4.2
pandocfilters 1.5.0
panel 0.13.0
param 1.12.0
parsel 1.6.0
parso 0.8.3
partd 1.2.0
pathspec 0.7.0
patsy 0.5.2
pep8 1.7.1
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.0.1
pip 21.2.4
pkginfo 1.8.2
plotly 5.6.0
pluggy 1.0.0
poyo 0.5.0
prometheus-client 0.13.1
prompt-toolkit 3.0.20
Protego 0.1.16
protobuf 3.19.1
psutil 5.8.0
ptyprocess 0.7.0
pure-eval 0.2.2
py 1.11.0
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycodestyle 2.7.0
pycosat 0.6.3
pycparser 2.21
pyct 0.4.6
pycurl 7.44.1
PyDispatcher 2.0.5
pydocstyle 6.1.1
pyerfa 2.0.0
pyfaidx 0.7.1
pyflakes 2.3.1
Pygments 2.11.2
PyHamcrest 2.0.2
PyJWT 2.1.0
pylint 2.9.6
pyls-spyder 0.4.0
pyodbc 4.0.32
pyOpenSSL 21.0.0
pyparsing 3.0.4
pyrsistent 0.18.0
pysam 0.19.1
PySocks 1.7.1
pytest 7.1.1
python-dateutil 2.8.2
python-lsp-black 1.0.0
python-lsp-jsonrpc 1.0.0
python-lsp-server 1.2.4
python-slugify 5.0.2
python-snappy 0.6.0
pytz 2021.3
pyviz-comms 2.0.2
PyWavelets 1.3.0
pyxdg 0.27
PyYAML 6.0
pyzmq 22.3.0
QDarkStyle 3.0.2
qstylizer 0.1.10
QtAwesome 1.0.3
qtconsole 5.3.0
QtPy 2.0.1
queuelib 1.5.0
regex 2022.3.15
requests 2.27.1
requests-file 1.5.1
rope 0.22.0
rsa 4.7.2
Rtree 0.9.7
ruamel-yaml-conda 0.15.100
s3transfer 0.5.0
scikit-image 0.19.2
scikit-learn 1.0.2
scikit-learn-intelex 2021.20220215.212715
scipy 1.7.3
Scrapy 2.6.1
seaborn 0.11.2
SecretStorage 3.3.1
Send2Trash 1.8.0
service-identity 18.1.0
setuptools 61.2.0
sip 4.19.13
six 1.16.0
smart-open 5.1.0
sniffio 1.2.0
snowballstemmer 2.2.0
sortedcollections 2.1.0
sortedcontainers 2.4.0
soupsieve 2.3.1
Sphinx 4.4.0
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 5.1.5
spyder-kernels 2.1.3
SQLAlchemy 1.4.32
stack-data 0.2.0
statsmodels 0.13.2
style 1.1.0
sympy 1.10.1
tables 3.6.1
tabulate 0.8.9
TBB 0.2
tblib 1.7.0
tenacity 8.0.1
terminado 0.13.1
testpath 0.5.0
text-unidecode 1.3
textdistance 4.2.1
threadpoolctl 2.2.0
three-merge 0.1.1
tifffile 2021.7.2
tinycss 0.4
tldextract 3.2.0
toml 0.10.2
tomli 1.2.2
toolz 0.11.2
tornado 6.1
tqdm 4.64.0
traitlets 5.1.1
Twisted 22.2.0
typed-ast 1.4.3
typing_extensions 4.1.1
ujson 5.1.0
Unidecode 1.2.0
update 0.0.1
urllib3 1.26.9
w3lib 1.21.0
watchdog 2.1.6
wcwidth 0.2.5
webencodings 0.5.1
websocket-client 0.58.0
Werkzeug 2.0.3
whatshap 1.6
wheel 0.37.1
widgetsnbextension 3.5.2
wrapt 1.12.1
wurlitzer 3.0.2
xarray 0.20.1
xlrd 2.0.1
XlsxWriter 3.0.3
xopen 1.6.0
yapf 0.31.0
yarl 1.6.3
zict 2.0.0
zipp 3.7.0
zope.interface 5.4.0
How to prevent the error: Don't know how to allocate array with layout 'A' from numba?

I was able to fix this error with the following setup:
Create venv for python3.7
Download Alphapeel repository from here
Extract AlphaPeel-master and extract wheel-file from AlphaPeel.zip
Install AlphaPeel-1.1.x using the wheel file
Run AlphaPeel in commandline
An error appears stating that mportError: cannot import name 'jitclass' from 'numba' (/home/oem/.venvs/my-venv-name/lib/python3.7/site-packages/numba/__init__.py)
This can be fixed editing the file in conflict, using some editor, e.g. nano, to remove the function jitclass from the line from numba import ...
Add a new line with from numba.experimental import jitclass
Save the file and repeat for each file in conflict
Run Alphapeel
PS: Despite stating that the tools from Alphagenes can read plink files the package alphaplinkpython did not work on my setup. So better stick to the file format presented in the docs.

AttributeError: 'ParquetFile' object has no attribute 'row_groups'

Pythonistas!
Not sure what I am doing wrong while reading a parquet file here.
I have all the necessary packages installed - pandas, fastparquet & pyarrow
The code literally is reading the parquet file
import pandas as pd
FILE = 'file://minute_equities_all/minute/A/AA.parquet'
pd = pd.read_parquet(FILE,engine='fastparquet')
This keeps giving me,
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/ppatel/opt/miniconda3/envs/quant/lib/python3.10/site-packages/pandas/io/parquet.py", line 493, in read_parquet
return impl.read(
File "/Users/ppatel/opt/miniconda3/envs/quant/lib/python3.10/site-packages/pandas/io/parquet.py", line 347, in read
result = parquet_file.to_pandas(columns=columns, **kwargs)
File "/Users/ppatel/opt/miniconda3/envs/quant/lib/python3.10/site-packages/fastparquet/api.py", line 722, in to_pandas
rgs = filter_row_groups(self, filters) if filters else self.row_groups
AttributeError: 'ParquetFile' object has no attribute 'row_groups'
Changing the engine to pyarrow also doesn't help -
Traceback (most recent call last):
File "/Users/ppatel/Desktop/development/data-sync/main.py", line 5, in <module>
pf = pd.read_parquet(FILE,engine='pyarrow')
File "/Users/ppatel/opt/miniconda3/envs/quant/lib/python3.10/site-packages/pandas/io/parquet.py", line 493, in read_parquet
return impl.read(
File "/Users/ppatel/opt/miniconda3/envs/quant/lib/python3.10/site-packages/pandas/io/parquet.py", line 240, in read
result = self.api.parquet.read_table(
File "/Users/ppatel/opt/miniconda3/envs/quant/lib/python3.10/site-packages/pyarrow/parquet/__init__.py", line 2737, in read_table
dataset = _ParquetDatasetV2(
File "/Users/ppatel/opt/miniconda3/envs/quant/lib/python3.10/site-packages/pyarrow/parquet/__init__.py", line 2351, in __init__
self._dataset = ds.dataset(path_or_paths, filesystem=filesystem,
File "/Users/ppatel/opt/miniconda3/envs/quant/lib/python3.10/site-packages/pyarrow/dataset.py", line 694, in dataset
return _filesystem_dataset(source, **kwargs)
File "/Users/ppatel/opt/miniconda3/envs/quant/lib/python3.10/site-packages/pyarrow/dataset.py", line 439, in _filesystem_dataset
fs, paths_or_selector = _ensure_single_source(source, filesystem)
File "/Users/ppatel/opt/miniconda3/envs/quant/lib/python3.10/site-packages/pyarrow/dataset.py", line 415, in _ensure_single_source
raise FileNotFoundError(path)
FileNotFoundError: /Users/ppatel/Desktop/development/data-sync/minute_equities_all/minute/A/AA.parquet
Am I missing something here? Any help will be appreciated!
Attaching an example file here (expires in 30 days) - https://easyupload.io/xsqhhw
Adding some details around package versions -
# Name Version Build Channel
abseil-cpp 20211102.0 he49afe7_0 conda-forge
arrow-cpp 8.0.0 py310h72c8010_0
aws-c-common 0.4.57 hb1e8313_1
aws-c-event-stream 0.1.6 h23ab428_5
aws-checksums 0.1.9 hb1e8313_0
aws-sdk-cpp 1.8.185 he271ece_0
beautifulsoup4 4.11.1 py310hecd8cb5_0
blas 1.0 mkl
boost-cpp 1.70.0 hd59e818_1 conda-forge
bottleneck 1.3.5 py310h4e76f89_0
brotli 1.0.9 hca72f7f_7
brotli-bin 1.0.9 hca72f7f_7
brotlipy 0.7.0 py310h1961e1f_1004 conda-forge
bs4 4.11.1 hd3eb1b0_0
bzip2 1.0.8 h1de35cc_0
c-ares 1.18.1 h0d85af4_0 conda-forge
ca-certificates 2022.6.15.1 h033912b_0 conda-forge
certifi 2022.6.15.1 pyhd8ed1ab_0 conda-forge
cffi 1.15.1 py310hc55c11b_0
charset-normalizer 2.1.1 pyhd8ed1ab_0 conda-forge
cramjam 2.5.0 py310hcf052fe_0 conda-forge
cryptography 37.0.4 py310h52c3658_0 conda-forge
cycler 0.11.0 pyhd3eb1b0_0
et_xmlfile 1.0.1 py_1001 conda-forge
fastparquet 0.8.3 py310h936d966_0 conda-forge
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.11.0 hd8bbffd_0
fsspec 2022.8.2 pyhd8ed1ab_0 conda-forge
gflags 2.2.2 hb1e8313_1004 conda-forge
giflib 5.2.1 haf1e3a3_0
glog 0.5.0 h25b26a9_0 conda-forge
grpc-cpp 1.46.1 h067a048_0
icu 58.2 h0a44026_1000 conda-forge
idna 3.3 pyhd8ed1ab_0 conda-forge
intel-openmp 2021.4.0 hecd8cb5_3538
jpeg 9e hca72f7f_0
kiwisolver 1.4.2 py310he9d5cce_0
krb5 1.19.2 hcd88c3b_0
lcms2 2.12 hf1fd2bf_0
lerc 3.0 he9d5cce_0
libbrotlicommon 1.0.9 hca72f7f_7
libbrotlidec 1.0.9 hca72f7f_7
libbrotlienc 1.0.9 hca72f7f_7
libcurl 7.84.0 h6dfd666_0
libcxx 12.0.0 h2f01273_0
libdeflate 1.8 h9ed2024_5
libedit 3.1.20210910 hca72f7f_0
libev 4.33 haf1e3a3_1 conda-forge
libevent 2.1.10 h815e4d9_4 conda-forge
libffi 3.3 hb1e8313_2
libiconv 1.17 hac89ed1_0 conda-forge
libnghttp2 1.46.0 ha29bfda_0
libpng 1.6.37 ha441bb4_0
libprotobuf 3.20.1 h8346a28_0
libssh2 1.10.0 h7535e13_3 conda-forge
libta-lib 0.4.0 haf1e3a3_0 conda-forge
libthrift 0.15.0 h054ceb0_0
libtiff 4.4.0 h2ef1027_0
libwebp 1.2.2 h56c3ce4_0
libwebp-base 1.2.2 hca72f7f_0
libxml2 2.9.14 hbf8cd5e_0
libxslt 1.1.35 h5b33f42_0
libzlib 1.2.12 hfe4f2af_2 conda-forge
lxml 4.9.1 py310h6c45266_0 conda-forge
lz4-c 1.9.3 h23ab428_1
matplotlib 3.5.2 py310hecd8cb5_0
matplotlib-base 3.5.2 py310hfb0c5b7_0
mkl 2021.4.0 hecd8cb5_637
mkl-service 2.4.0 py310hca72f7f_0
mkl_fft 1.3.1 py310hf879493_0
mkl_random 1.2.2 py310hc081a56_0
multitasking 0.0.9 pyhd8ed1ab_0 conda-forge
munkres 1.1.4 py_0
ncurses 6.3 hca72f7f_3
numexpr 2.8.3 py310hdcd3fac_0
numpy 1.23.1 py310hdcd3fac_0
numpy-base 1.23.1 py310hfd2de13_0
oandapyv20 0.7.2 pypi_0 pypi
openpyxl 3.0.9 pyhd8ed1ab_0 conda-forge
openssl 1.1.1q hfe4f2af_0 conda-forge
orc 1.7.4 h9274d09_0
packaging 21.3 pyhd3eb1b0_0
pandas 1.4.3 py310he9d5cce_0
pillow 9.2.0 py310hde71d04_1
pip 22.1.2 py310hecd8cb5_0
pyarrow 8.0.0 py310h53e4f6e_0
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pyopenssl 22.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 py310hecd8cb5_0
pysocks 1.7.1 pyha2e5f31_6 conda-forge
python 3.10.4 hdfd78df_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.10 2_cp310 conda-forge
pytz 2022.1 py310hecd8cb5_0
re2 2022.04.01 he9d5cce_0
readline 8.1.2 hca72f7f_1
requests 2.28.1 pyhd8ed1ab_1 conda-forge
setuptools 63.4.1 py310hecd8cb5_0
six 1.16.0 pyhd3eb1b0_1
snappy 1.1.9 he9d5cce_0
soupsieve 2.3.1 pyhd3eb1b0_0
sqlite 3.39.2 h707629a_0
ta-lib 0.4.19 py310h7f5fb2b_4 conda-forge
tk 8.6.12 h5d9f67b_0
tornado 6.2 py310hca72f7f_0
tzdata 2022a hda174b7_0
urllib3 1.26.11 pyhd8ed1ab_0 conda-forge
utf8proc 2.6.1 h9ed2024_0
wheel 0.37.1 pyhd3eb1b0_0
xz 5.2.5 hca72f7f_1
yfinance 0.1.74 pyhd8ed1ab_0 conda-forge
zlib 1.2.12 h4dc903c_2
zstd 1.5.2 hcb37349_0

I am suffering similar issue with you. It can be possible to have file path issue. In my case, when i tried to access S3 file, happened that error. and this is permission issue to access S3.

ImportError: cannot import name 'rcParams' from 'matplotlib'

I have tried to uninstall and reinstall matplotlib in my tf-gpu enviornment I made but I keep getting this error:
ImportError: cannot import name 'rcParams' from 'matplotlib'
This is the entire output I am getting on jupyter notebook:
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-9-8d7d44d0fddd> in <module>
17 # import matplotlib.pyplot as plt
18 from sklearn.metrics import confusion_matrix
---> 19 from mlxtend.plotting import plot_confusion_matrix
20
21 # Removes annoying warning messages in tensorflow and python
~\AppData\Local\Continuum\anaconda3\envs\tf-gpu\lib\site-packages\mlxtend\plotting\__init__.py in <module>
5 # License: BSD 3 clause
6
----> 7 from .decision_regions import plot_decision_regions
8 from .learning_curves import plot_learning_curves
9 from .plot_confusion_matrix import plot_confusion_matrix
~\AppData\Local\Continuum\anaconda3\envs\tf-gpu\lib\site-packages\mlxtend\plotting\decision_regions.py in <module>
8
9 from itertools import cycle
---> 10 import matplotlib.pyplot as plt
11 import numpy as np
12 from mlxtend.utils import check_Xy, format_kwarg_dictionaries
~\AppData\Local\Continuum\anaconda3\envs\tf-gpu\lib\site-packages\matplotlib\pyplot.py in <module>
30 from cycler import cycler
31 import matplotlib
---> 32 import matplotlib.colorbar
33 import matplotlib.image
34 from matplotlib import rcsetup, style
~\AppData\Local\Continuum\anaconda3\envs\tf-gpu\lib\site-packages\matplotlib\colorbar.py in <module>
25
26 import matplotlib as mpl
---> 27 import matplotlib.artist as martist
28 import matplotlib.cbook as cbook
29 import matplotlib.collections as collections
~\AppData\Local\Continuum\anaconda3\envs\tf-gpu\lib\site-packages\matplotlib\artist.py in <module>
10
11 import matplotlib
---> 12 from . import cbook, docstring, rcParams
13 from .path import Path
14 from .transforms import (Bbox, IdentityTransform, Transform, TransformedBbox,
ImportError: cannot import name 'rcParams' from 'matplotlib' (unknown location)
I was not able to find a solution online, so I wanted to start a thread on this again.
UPDATE:
I tried to uninstall matplotlib using conda/pip but it still shows up in conda list output:
# Name Version Build Channel
_tflow_select 2.1.0 gpu
absl-py 0.8.1 py37_0
asn1crypto 1.0.0 pypi_0 pypi
astor 0.8.0 py37_0
attrs 19.3.0 py_0
backcall 0.1.0 py37_0
blas 1.0 mkl
bleach 3.1.0 py37_0
bzip2 1.0.8 he774522_0
ca-certificates 2019.11.27 0
censusdata 1.5 pypi_0 pypi
censusgeocode 0.4.3.post1 pypi_0 pypi
certifi 2019.11.28 py37_0
cffi 1.12.3 pypi_0 pypi
chardet 3.0.4 pypi_0 pypi
click 7.0 py37_0
click-plugins 1.1.1 py_0
cligj 0.5.0 py37_0
colorama 0.4.3 py_0
cryptography 2.7 pypi_0 pypi
cudatoolkit 10.0.130 0
cudnn 7.6.5 cuda10.0_0
curl 7.67.0 h2a8f88b_0
decorator 4.4.1 py_0
defusedxml 0.6.0 py_0
entrypoints 0.3 py37_0
et-xmlfile 1.0.1 pypi_0 pypi
expat 2.2.5 he025d50_0
fiona 1.8.4 py37h22081e2_0
freexl 1.0.5 hfa6e2cd_0
gast 0.3.2 py_0
gdal 2.3.3 py37hdf43c64_0
geopandas 0.6.1 py_0
geos 3.7.1 h33f27b4_0
grpcio 1.16.1 py37h351948d_1
h5py 2.9.0 py37h5e291fa_0
haversine 2.1.2 pypi_0 pypi
hdf4 4.2.13 h712560f_2
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
idna 2.8 pypi_0 pypi
importlib_metadata 1.3.0 py37_0
intel-openmp 2019.4 245
ipfn 1.3.0 pypi_0 pypi
ipykernel 5.1.3 py37h39e3cac_0
ipython 7.11.1 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.5.1 py_0
jdcal 1.4.1 pypi_0 pypi
jedi 0.15.2 py37_0
jinja2 2.10.3 py_0
joblib 0.14.0 pypi_0 pypi
jpeg 9b hb83a4c4_2
jsonschema 3.2.0 py37_0
jupyter 1.0.0 py37_7
jupyter_client 5.3.4 py37_0
jupyter_console 6.1.0 py_0
jupyter_core 4.6.1 py37_0
kealib 1.4.7 h07cbb95_6
keras 2.2.4 0
keras-applications 1.0.8 py_0
keras-base 2.2.4 py37_0
keras-preprocessing 1.1.0 py_1
krb5 1.16.4 hc04afaa_0
libboost 1.67.0 hd9e427e_4
libcurl 7.67.0 h2a8f88b_0
libgdal 2.3.3 h10f50ba_0
libiconv 1.15 h1df5818_7
libkml 1.3.0 he5f2a48_4
libnetcdf 4.6.1 h411e497_2
libpng 1.6.37 h2a8f88b_0
libpq 11.2 h3235a2c_0
libprotobuf 3.11.2 h7bd577a_0
libsodium 1.0.16 h9d3ae62_0
libspatialindex 1.9.3 h33f27b4_0
libspatialite 4.3.0a hc36aec2_19
libssh2 1.8.2 h7a1dbc1_0
libtiff 4.1.0 h56a325e_0
libxml2 2.9.9 h464c3ec_0
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 3.1.1 py37_0
markupsafe 1.1.1 py37he774522_0
matplotlib 3.1.1 pypi_0 pypi
mistune 0.8.4 py37he774522_0
mkl 2019.4 245
mkl-service 2.3.0 py37hb782905_0
mkl_fft 1.0.15 py37h14836fe_0
mkl_random 1.1.0 py37h675688f_0
mlxtend 0.17.0 pypi_0 pypi
more-itertools 8.0.2 py_0
msys2-conda-epoch 20160418 1
munch 2.5.0 py_0
nbconvert 5.6.1 py37_0
nbformat 4.4.0 py37_0
networkx 2.4 pypi_0 pypi
notebook 6.0.2 py37_0
numpy 1.18.1 py37h93ca92e_0
numpy-base 1.18.1 py37hc3f5095_1
openpyxl 3.0.2 pypi_0 pypi
openssl 1.1.1d he774522_3
pandas 0.25.3 py37ha925a31_0
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py37_1
parso 0.5.2 py_0
patsy 0.5.1 py37_0
pcre 8.43 ha925a31_0
pickleshare 0.7.5 py37_0
pip 19.3.1 py37_0
plotly 4.1.1 pypi_0 pypi
proj4 5.2.0 ha925a31_1
prometheus_client 0.7.1 py_0
prompt_toolkit 3.0.2 py_0
protobuf 3.11.2 py37h33f27b4_0
pycparser 2.19 pypi_0 pypi
pygments 2.5.2 py_0
pyopenssl 19.0.0 pypi_0 pypi
pyproj 1.9.6 py37h6782396_0
pyqt 5.9.2 py37h6538335_2
pyreadline 2.1 py37_1
pyrsistent 0.15.6 py37he774522_0
python 3.7.6 h60c2a47_2
python-dateutil 2.8.1 py_0
pytz 2019.3 py_0
pywin32 227 py37he774522_1
pywinpty 0.5.7 py37_0
pyyaml 5.2 py37he774522_0
pyzmq 18.1.0 py37ha925a31_0
qt 5.9.7 vc14h73c81de_0
qtconsole 4.6.0 py_1
requests 2.22.0 pypi_0 pypi
requests-toolbelt 0.9.1 pypi_0 pypi
retrying 1.3.3 pypi_0 pypi
rtree 0.8.3 py37_0
scipy 1.3.2 py37h29ff71c_0
seaborn 0.9.0 pypi_0 pypi
send2trash 1.5.0 py37_0
setuptools 44.0.0 py37_0
shapely 1.6.4 py37h222a598_0
sip 4.19.8 py37h6538335_0
six 1.13.0 py37_0
sklearn 0.0 pypi_0 pypi
sqlite 3.30.1 he774522_0
statsmodels 0.10.1 py37h8c2d366_0
tensorboard 1.14.0 py37he3c9ec2_0
tensorflow 1.14.0 gpu_py37h5512b17_0
tensorflow-base 1.14.0 gpu_py37h55fc52a_0
tensorflow-estimator 1.14.0 py_0
tensorflow-gpu 1.14.0 h0d30ee6_0
termcolor 1.1.0 py37_1
terminado 0.8.3 py37_0
testpath 0.4.4 py_0
time-series 0.2 pypi_0 pypi
tk 8.6.8 hfa6e2cd_0
tornado 6.0.3 py37he774522_0
traitlets 4.3.3 py37_0
urllib3 1.25.6 pypi_0 pypi
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_1
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
wincertstore 0.2 py37_0
winpty 0.4.3 4
wrapt 1.11.2 py37he774522_0
xerces-c 3.2.2 ha925a31_0
xlrd 1.2.0 py37_0
xz 5.2.4 h2fa13f4_4
yaml 0.1.7 hc54c509_2
zeromq 4.3.1 h33f27b4_3
zipp 0.6.0 py_0
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0

Try the following:
from pylab import rcParams

I came across this error after reinstalling matplotlib twice and facing other Errors, which are:
ValueError: setting an array element with a sequence
ValueError: 'transform' must be an instance of 'matplotlib.transform.Transform'
I was able to solve the above issues by reinstalling matplotlib using:
conda install -f matplotlib
But surprisingly I was able to solve this (ImportError: cannot import name 'rcParams' from 'matplotlib') just by restarting the Spyder (Python 3.7) from File Menu > Restart option.
I restarted and then ran the code without any modifications, and it worked.

I was able to fix the issue above by first uninstalling and installing matplotlib. Then completely creating a new notebook. For some reason the old notebook still gave me the same error but when I create a new notebook in the same environment it worked, go figure.

I'm not certain if this corresponds to a recent change in how matplotlib works or if it was always so, but when I encountered the same error, it seemed that the issue was that rcParams cannot be directly imported with an import statement. You must first import matplotlib, thus causing the module to be loaded into memory, cached, and possibly generate some dynamic objects. Then you can access rcParams.
Case in point, this fails:
import matplotlib.rcParams as rcp
Traceback (most recent call last):
File "/home/nc/miniconda3/envs/pybnn/lib/python3.8/site-packages/IPython/core/interactiveshell.py", line 3417, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-2-d4bca3da3c19>", line 1, in <module>
import matplotlib.rcParams as rcp
File "/snap/pycharm-community/211/plugins/python-ce/helpers/pydev/_pydev_bundle/pydev_import_hook.py", line 21, in do_import
module = self._system_import(name, *args, **kwargs)
ModuleNotFoundError: No module named 'matplotlib.rcParams'
However, this works:
import matplotlib as mpl
rcp = mpl.rcParams
Backend Qt5Agg is interactive backend. Turning interactive mode on.
WARNING: QApplication was not created in the main() thread.
type(rcp)
Out[5]: matplotlib.RcParams
I'm using matplotlib 3.3.1.

Uninstall anaconda and run again it worked for me

Python 3.7 anaconda environment - import _ssl DLL load fail error

I created anaconda environment with Python=3.7 and have trouble with the error of _ssl and DLL. When I tried to get back to my base environment, I have trouble getting the background processes to complete as shown in the figure below, this goes on forever.
The error:
C:\Users\abhil\AppData\Local\Continuum\anaconda3\envs\HeisenbergPy37\python.exe "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\pydev\pydevconsole.py" --mode=client --port=63950
Traceback (most recent call last):
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\pydev\pydevconsole.py", line 5, in <module>
from _pydev_comm.rpc import make_rpc_client, start_rpc_server, start_rpc_server_and_make_client
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\pydev\_pydev_comm\rpc.py", line 4, in <module>
from _pydev_comm.server import TSingleThreadedServer
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\pydev\_pydev_comm\server.py", line 4, in <module>
from _shaded_thriftpy.server import TServer
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\third_party\thriftpy\_shaded_thriftpy\server.py", line 9, in <module>
from _shaded_thriftpy.transport import (
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\third_party\thriftpy\_shaded_thriftpy\transport\__init__.py", line 57, in <module>
from .sslsocket import TSSLSocket, TSSLServerSocket # noqa
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\third_party\thriftpy\_shaded_thriftpy\transport\sslsocket.py", line 7, in <module>
import ssl
File "C:\Users\abhil\AppData\Local\Continuum\anaconda3\envs\HeisenbergPy37\lib\ssl.py", line 98, in <module>
import _ssl # if we can't import it, let the error propagate
ImportError: DLL load failed: The specified module could not be found.
Process finished with exit code 1
All packages installed with
conda create -n anaconda python=3.7
C:\WINDOWS\system32>conda list
# packages in environment at C:\Users\abhil\AppData\Local\Continuum\anaconda3\envs\HeisenbergPy37:
#
# Name Version Build Channel
alabaster 0.7.12 py37_0
anaconda 2018.12 py37_0
anaconda-client 1.7.2 py37_0
anaconda-project 0.8.2 py37_0
asn1crypto 0.24.0 py37_0
astroid 2.1.0 py37_0
astropy 3.1 py37he774522_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 py37hfa6e2cd_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 he51fdeb_0
bokeh 1.0.2 py37_0
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h452e1ab_1
bzip2 1.0.6 hfa6e2cd_5
ca-certificates 2018.03.07 0
certifi 2018.11.29 py37_0
cffi 1.11.5 py37h74b6da3_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
comtypes 1.1.7 py37_0
console_shortcut 0.1.1 3
contextlib2 0.5.5 py37_0
cryptography 2.4.2 py37h7a1dbc1_0
curl 7.63.0 h2a8f88b_1000
cycler 0.10.0 py37_0
cython 0.29.2 py37ha925a31_0
cytoolz 0.9.0.1 py37hfa6e2cd_1
dask 1.0.0 py37_0
dask-core 1.0.0 py37_0
datashape 0.5.4 py37_1
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
fastcache 1.0.2 py37hfa6e2cd_2
filelock 3.0.10 py37_0
flask 1.0.2 py37_1
flask-cors 3.0.7 py37_0
freetype 2.9.1 ha9979f8_1
get_terminal_size 1.0.0 h38e98db_0
gevent 1.3.7 py37he774522_1
glob2 0.6 py37_1
greenlet 0.4.15 py37hfa6e2cd_0
h5py 2.8.0 py37h3bdd7fb_2
hdf5 1.10.2 hac2f561_1
heapdict 1.0.0 py37_2
html5lib 1.0.1 py37_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
idna 2.8 py37_0
imageio 2.4.1 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
jdcal 1.4 py37_0
jedi 0.13.2 py37_0
jinja2 2.10 py37_0
jpeg 9b hb83a4c4_2
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 1.0.1 py37h6538335_0
krb5 1.16.1 hc04afaa_7
lazy-object-proxy 1.3.1 py37hfa6e2cd_2
libarchive 3.3.3 h0643e63_5
libcurl 7.63.0 h2a8f88b_1000
libiconv 1.15 h1df5818_7
libpng 1.6.35 h2a8f88b_0
libsodium 1.0.16 h9d3ae62_0
libssh2 1.8.0 h7a1dbc1_4
libtiff 4.0.9 h36446d0_2
libxml2 2.9.8 hadb2253_1
libxslt 1.1.32 hf6f1972_0
llvmlite 0.26.0 py37ha925a31_0
locket 0.2.0 py37_1
lxml 4.2.5 py37hef2cd61_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 1.1.0 py37he774522_0
matplotlib 3.0.2 py37hc8f65d3_0
mccabe 0.6.1 py37_1
menuinst 1.4.14 py37hfa6e2cd_0
mistune 0.8.4 py37he774522_0
mkl 2019.1 144
mkl-service 1.1.2 py37hb782905_5
mkl_fft 1.0.6 py37h6288b17_0
mkl_random 1.0.2 py37h343c172_0
more-itertools 4.3.0 py37_0
mpmath 1.1.0 py37_0
msgpack-python 0.5.6 py37he980bc4_1
msys2-conda-epoch 20160418 1
multipledispatch 0.6.0 py37_0
nbconvert 5.4.0 py37_1
nbformat 4.4.0 py37_0
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 py37hf9181ef_0
numexpr 2.6.8 py37hdce8814_0
numpy 1.15.4 py37h19fb1c0_0
numpy-base 1.15.4 py37hc3f5095_0
numpydoc 0.8.0 py37_0
odo 0.5.1 py37_0
olefile 0.46 py37_0
openpyxl 2.5.12 py37_0
openssl 1.1.1a he774522_0
packaging 18.0 py37_0
pandas 0.23.4 py37h830ac7b_0
pandoc 1.19.2.1 hb2460c7_1
pandocfilters 1.4.2 py37_1
parso 0.3.1 py37_0
partd 0.3.9 py37_0
path.py 11.5.0 py37_0
pathlib2 2.3.3 py37_0
patsy 0.5.1 py37_0
pep8 1.7.1 py37_0
pickleshare 0.7.5 py37_0
pillow 5.3.0 py37hdc69c19_0
pip 18.1 py37_0
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 py37he774522_0
py 1.7.0 py37_0
pycodestyle 2.4.0 py37_0
pycosat 0.6.3 py37hfa6e2cd_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37hfa6e2cd_9
pycurl 7.43.0.2 py37h7a1dbc1_0
pyflakes 2.0.0 py37_0
pygments 2.3.1 py37_0
pylint 2.2.2 py37_0
pyodbc 4.0.25 py37ha925a31_0
pyopenssl 18.0.0 py37_0
pyparsing 2.3.0 py37_0
pyqt 5.9.2 py37h6538335_2
pysocks 1.6.8 py37_0
pytables 3.4.4 py37he6f6034_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 3.7.1 h8c8aaf0_6
python-dateutil 2.7.5 py37_0
python-libarchive-c 2.8 py37_6
pytz 2018.7 py37_0
pywavelets 1.0.1 py37h8c2d366_0
pywin32 223 py37hfa6e2cd_1
pywinpty 0.5.5 py37_1000
pyyaml 3.13 py37hfa6e2cd_0
pyzmq 17.1.2 py37hfa6e2cd_0
qt 5.9.7 vc14h73c81de_0
qtawesome 0.5.3 py37_0
qtconsole 4.4.3 py37_0
qtpy 1.5.2 py37_0
requests 2.21.0 py37_0
rope 0.11.0 py37_0
ruamel_yaml 0.15.46 py37hfa6e2cd_0
scikit-image 0.14.1 py37ha925a31_0
scikit-learn 0.20.1 py37h343c172_0
scipy 1.1.0 py37h29ff71c_2
seaborn 0.9.0 py37_0
send2trash 1.5.0 py37_0
setuptools 40.6.3 py37_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 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 py37he774522_0
sqlite 3.26.0 he774522_0
statsmodels 0.9.0 py37h452e1ab_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 8.6.8 hfa6e2cd_0
toolz 0.9.0 py37_0
tornado 5.1.1 py37hfa6e2cd_0
tqdm 4.28.1 py37h28b3542_0
traitlets 4.3.2 py37_0
unicodecsv 0.14.1 py37_0
urllib3 1.24.1 py37_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.15.26706 h3a45250_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.14.1 py37_0
wheel 0.32.3 py37_0
widgetsnbextension 3.4.2 py37_0
win_inet_pton 1.0.1 py37_1
win_unicode_console 0.5 py37_0
wincertstore 0.2 py37_0
winpty 0.4.3 4
wrapt 1.10.11 py37hfa6e2cd_2
xlrd 1.2.0 py37_0
xlsxwriter 1.1.2 py37_0
xlwings 0.15.1 py37_0
xlwt 1.3.0 py37_0
xz 5.2.4 h2fa13f4_4
yaml 0.1.7 hc54c509_2
zeromq 4.2.5 he025d50_1
zict 0.1.3 py37_0
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0

I have answerd this here, to my understanding this error is caused by the missing/misplacement of libcrypto file in anaconda3/DLLs folder:
From anaconda3\Library\bin copy below files and paste them in anaconda3/DLLs:
- libcrypto-1_1-x64.dll
- libssl-1_1-x64.dll

This can be fixed by manually adding in the PATH variables in PyCharm to the console.
Open your Anaconda cmd
Activate your Conda environment
Get the full PATH value by typing echo %PATH%
if you are on Windows 7/can't copy the output, cd the cmd to your desktop and type echo %PATH% > path_val.txt
this will create a txt file so you can copy/paste the values easier.
In PyCharm, go to Settings -> Build, Execution, Deployment -> Console -> Python Console -> click the folder on the right of Environment variables.
Click the plus button to add a new Environment Variable
The name should be PATH
The value is the entire output from the echo %PATH% command above.
Click OK, then apply.

You can try to set system environment variables, like "C:\Python\Anaconda3;C:\Python\Anaconda3\Scripts;
C:\Python\Anaconda3\Library\bin;".
Only "C:\Python\Anaconda3\Scripts;" is not enough, and it works to me.

I had the same issue on Windows 10 Pro x64 and PyCharm CE 2018.3
A solution that worked for me: Re-install Anaconda3 for all users (with Admin priveledges) and choose "add python.exe to Path" (even though it is nor recommended). Then PyCharm connected successfully without this error.
A work around that also worked: Use another environment (pyenv or conda). It worked for me when I faced the same issue on
Some other suggestions I saw on Internet:
run Anaconda3\Scripts>conda update --all
but this threw the HTTP connection error rises, which might be related.

if running under a virtual env (i.e. your have issued the command: conda activate <env_name>)
The files (libcrypto-1_1-x64.dll and libssl-1_1-x64.dll) to copy are found under:
C:\USER<username>.conda\envs<env_name>\Library\bin
They have to be copied into:
C:\USER<username>.conda\envs<env_name>\DLLs

None of the above worked for me, but instead it was a problem with OpenSSL on Windows 10 Enterprise. I fixed it by downloading and installing OpenSSL from here: https://slproweb.com/products/Win32OpenSSL.html

Thanks for the answer!
This works definately.
I have answerd this here, to my understanding this error is caused by the missing/misplacement of libcrypto file in anaconda3/DLLs folder:
From anaconda3\Library\bin copy below files and paste them in anaconda3/DLLs:
libcrypto-1_1-x64.dll
libssl-1_1-x64.dll

In my case the error was a result of spinning pipenv from non-base conda env. Setting variable in PyCharm or moving files in base anaconda structure didn't help, because PyCharm looked for these DLLs in my conda env in the middle.
So I had to move files from base conda structure:
C:\Users<username>\AppData\Local\Continuum\anaconda3\Library\bin
To my conda env from which I spinned the final Pipenv I use in PyCharm:
C:\Users<username>\AppData\Local\Continuum\anaconda3\envs<conda_env_name>\DLLs
The files I had to move to have IPython work correctly:
libcrypto-1_1-x64.dll
libssl-1_1-x64.dll
sqlite3.dll
sqlite3.exe
The reason is that not all libraries/binaries are propagated to the virtual envs. Virtual envs are able to find these files in "root Python". Venvs stay lighter thanks to not copying them.
However, PyCharm gets confused in a setup such as mine, and treats the conda env in the middle as a "root Python", and can't find the libraries/bins. This problem can potentially make itself apparent with other dlls or bins.
It may be worth to move all missing files this way.

another solution: edit python3.7's site.py(in Lib dir):
from os.path import join, abspath, dirname
base_path = dirname(dirname(abspath(__file__)))
os.environ['PATH'] = '%s%s' % (
os.environ['PATH'],
join(base_path, 'Library', 'bin'),
)

I had the same issue and my main IDE is Sublime Text 4.
Environment: Windows 10 with Anaconda
What I needed: from cryptography.fernet import Fernet
The marked solution was unachievable for me and the following answer solved it right away:
pip install --upgrade pip
pip uninstall pyopenssl cryptography
pip install pyopenssl cryptography
Validate with:
python -v -c "from OpenSSL import SSL"
Source: https://groups.google.com/g/qatrack/c/24RB6hesOko?pli=1

Incase someone is searching for Eclipse PyDev, It's same as Rob's answer.
No. 4 can be found at Window -> Preferences -> PyDev -> Interpreters -> Python Interpreters -> Environment -> Click New and add PATH

I have updated to Python 3.8 (with miniconda) and it did not work with Pycharm generating "anaconda-environment-import-ssl-dll-load-fail-error". I have tried several proposals here and tweaked env variables in different way w/o much success.
Finally I have updated to Pycharm 2020.2.3 and it worked like a charm, no tweaks ..

Jupyter-notebook exploding after command conda install -c conda-forge

I hope this post brings you well. I have environment issues that I would love to get assistance on.
I installed geopandas with command:
conda install -c conda-forge geopandas
Then typed jupyter-notebook and got a nasty error, here is what it reads:
Traceback (most recent call last):
File "/home/mathlizard/anaconda3/lib/python3.6/site-packages/notebook/services/sessions/sessionmanager.py", line 10, in
import sqlite3
File "/home/mathlizard/anaconda3/lib/python3.6/sqlite3/init.py", line 23, in
from sqlite3.dbapi2 import *
File "/home/mathlizard/anaconda3/lib/python3.6/sqlite3/dbapi2.py", line 27, in
from _sqlite3 import *
ImportError: libncurses.so.6: cannot open shared object file: No such file or directory
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/mathlizard/anaconda3/bin/jupyter-notebook", line 7, in
from notebook.notebookapp import main
File "/home/mathlizard/anaconda3/lib/python3.6/site-packages/notebook/notebookapp.py", line 84, in
from .services.sessions.sessionmanager import SessionManager
File "/home/mathlizard/anaconda3/lib/python3.6/site-packages/notebook/services/sessions/sessionmanager.py", line 13, in
from pysqlite2 import dbapi2 as sqlite3
ModuleNotFoundError: No module named 'pysqlite2'
My attempts
wrote the following commands:
pip install pysqlite2
pip install libsqlite3-dev
sudo apt-get install libsqlite3-dev
pip install pysqlite
conda install pysqlite2
conda install pysqlite
created and edited .condarc file in root directory with following lines of code:
channels:
- conda-forge
- defaults
UPDATES
installed pysqlite with conda install -c kbchoi pysqlite and now the error after typing jupyter-notebook is the following:
Traceback (most recent call last):
File "/home/mathlizard/anaconda3/bin/jupyter-notebook", line 7, in
from notebook.notebookapp import main
File "/home/mathlizard/anaconda3/lib/python2.7/site-packages/notebook/notebookapp.py", line 85, in
from .services.sessions.sessionmanager import SessionManager
File "/home/mathlizard/anaconda3/lib/python2.7/site-packages/notebook/services/sessions/sessionmanager.py", line 13, in
from pysqlite2 import dbapi2 as sqlite3
File "/home/mathlizard/anaconda3/lib/python2.7/site-packages/pysqlite2/dbapi2.py", line 28, in
from pysqlite2._sqlite import *
ImportError: libncurses.so.6: cannot open shared object file: No such file or directory
Background info:
which python outputs this: /home/mathlizard/anaconda3/bin/python
which jupyter outputs this: /home/mathlizard/anaconda3/bin/jupyter
my .bashrc file contains these lines of code: export PATH="/home/mathlizard/anaconda3/bin:$PATH"
and export PATH="/home/mathlizard/anaconda2/bin:$PATH"
conda list generates:
Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py27h08a7f0c_0
alabaster 0.7.10 py27he5a193a_0
anaconda 5.2.0 py27_3
anaconda-client 1.6.14 py27_0
anaconda-navigator 1.8.7 py27_0
anaconda-project 0.8.2 py27h236b58a_0
asn1crypto 0.24.0 py27_0
astroid 1.6.3 py27_0
astropy 2.0.6 py27h3010b51_1
attrs 18.1.0 py27_0
babel 2.5.3 py27_0
backports 1.0 py27h63c9359_1
backports.functools_lru_cache 1.5 py27_1
backports.shutil_get_terminal_size 1.0.0 py27h5bc021e_2
backports_abc 0.5 py27h7b3c97b_0
beautifulsoup4 4.6.0 py27h3f86ba9_1
bitarray 0.8.1 py27h14c3975_1
bkcharts 0.2 py27h241ae91_0
blas 1.0 mkl
blaze 0.11.3 py27h5f341da_0
bleach 2.1.3 py27_0
blosc 1.14.3 hdbcaa40_0
bokeh 0.12.16 py27_0
boto 2.48.0 py27h9556ac2_1
bottleneck 1.2.1 py27h21b16a3_0
bzip2 1.0.6 h14c3975_5
ca-certificates 2018.03.07 0
cairo 1.14.12 h7636065_2
cdecimal 2.3 py27h14c3975_3
certifi 2018.4.16 py27_0
cffi 1.11.5 py27h9745a5d_0
chardet 3.0.4 py27hfa10054_1
click 6.7 py27h4225b90_0
cloudpickle 0.5.3 py27_0
clyent 1.2.2 py27h7276e6c_1
colorama 0.3.9 py27h5cde069_0
conda 4.5.11 py27_0
conda-build 3.10.5 py27_0
conda-env 2.6.0 h36134e3_1
conda-verify 2.0.0 py27hf052a9d_0
configparser 3.5.0 py27h5117587_0
contextlib2 0.5.5 py27hbf4c468_0
cryptography 2.2.2 py27h14c3975_0
curl 7.60.0 h84994c4_0
cycler 0.10.0 py27hc7354d3_0
cython 0.28.2 py27h14c3975_0
cytoolz 0.9.0.1 py27h14c3975_0
dask 0.17.5 py27_0
dask-core 0.17.5 py27_0
datashape 0.5.4 py27hf507385_0
dbus 1.13.2 h714fa37_1
decorator 4.3.0 py27_0
distributed 1.21.8 py27_0
docutils 0.14 py27hae222c1_0
entrypoints 0.2.3 py27h502b47d_2
enum34 1.1.6 py27h99a27e9_1
et_xmlfile 1.0.1 py27h75840f5_0
expat 2.2.5 he0dffb1_0
fastcache 1.0.2 py27h14c3975_2
filelock 3.0.4 py27_0
flask 1.0.2 py27_1
flask-cors 3.0.4 py27_0
fontconfig 2.12.6 h49f89f6_0
freetype 2.8 hab7d2ae_1
funcsigs 1.0.2 py27h83f16ab_0
functools32 3.2.3.2 py27h4ead58f_1
futures 3.2.0 py27h7b459c0_0
get_terminal_size 1.0.0 haa9412d_0
gevent 1.3.0 py27h14c3975_0
glib 2.56.1 h000015b_0
glob2 0.6 py27hcea9cbd_0
gmp 6.1.2 h6c8ec71_1
gmpy2 2.0.8 py27h4cf3fa8_2
graphite2 1.3.11 h16798f4_2
greenlet 0.4.13 py27h14c3975_0
grin 1.2.1 py27_4
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb453b48_1
h5py 2.7.1 py27ha1f6525_2
harfbuzz 1.7.6 h5f0a787_1
hdf5 1.10.2 hba1933b_1
heapdict 1.0.0 py27_2
html5lib 1.0.1 py27h5233db4_0
icu 58.2 h9c2bf20_1
idna 2.6 py27h5722d68_1
imageio 2.3.0 py27_0
imagesize 1.0.0 py27_0
intel-openmp 2018.0.0 8
ipaddress 1.0.22 py27_0
ipykernel 4.8.2 py27_0
ipython 5.7.0 py27_0
ipython_genutils 0.2.0 py27h89fb69b_0
ipywidgets 7.2.1 py27_0
isort 4.3.4 py27_0
itsdangerous 0.24 py27hb8295c1_1
jbig 2.1 hdba287a_0
jdcal 1.4 py27_0
jedi 0.12.0 py27_1
jinja2 2.10 py27h4114e70_0
jpeg 9b h024ee3a_2
jsonschema 2.6.0 py27h7ed5aa4_0
jupyter 1.0.0 py27_4
jupyter_client 5.2.3 py27_0
jupyter_console 5.2.0 py27hc6bee7e_1
jupyter_core 4.4.0 py27h345911c_0
jupyterlab 0.32.1 py27_0
jupyterlab_launcher 0.10.5 py27_0
kiwisolver 1.0.1 py27hc15e7b5_0
lazy-object-proxy 1.3.1 py27h682c727_0
libcurl 7.60.0 h1ad7b7a_0
libedit 3.1.20170329 h6b74fdf_2
libffi 3.2.1 hd88cf55_4
libgcc-ng 7.2.0 hdf63c60_3
libgfortran-ng 7.2.0 hdf63c60_3
libpng 1.6.34 hb9fc6fc_0
libsodium 1.0.16 h1bed415_0
libssh2 1.8.0 h9cfc8f7_4
libstdcxx-ng 7.2.0 hdf63c60_3
libtiff 4.0.9 he85c1e1_1
libtool 2.4.6 h544aabb_3
libxcb 1.13 h1bed415_1
libxml2 2.9.8 h26e45fe_1
libxslt 1.1.32 h1312cb7_0
llvmlite 0.23.1 py27hdbcaa40_0
locket 0.2.0 py27h73929a2_1
lxml 4.2.1 py27h23eabaa_0
lzo 2.10 h49e0be7_2
markupsafe 1.0 py27h97b2822_1
matplotlib 2.2.2 py27h0e671d2_1
mccabe 0.6.1 py27h0e7c7be_1
mistune 0.8.3 py27h14c3975_1
mkl 2018.0.2 1
mkl-service 1.1.2 py27hb2d42c5_4
mkl_fft 1.0.1 py27h3010b51_0
mkl_random 1.0.1 py27h629b387_0
more-itertools 4.1.0 py27_0
mpc 1.0.3 hec55b23_5
mpfr 3.1.5 h11a74b3_2
mpmath 1.0.0 py27h9669132_2
msgpack-python 0.5.6 py27h6bb024c_0
multipledispatch 0.5.0 py27_0
navigator-updater 0.2.1 py27_0
nbconvert 5.3.1 py27he041f76_0
nbformat 4.4.0 py27hed7f2b2_0
ncurses 6.1 hf484d3e_0
networkx 2.1 py27_0
nltk 3.3.0 py27_0
nose 1.3.7 py27heec2199_2
notebook 5.5.0 py27_0
numba 0.38.0 py27h637b7d7_0
numexpr 2.6.5 py27h7bf3b9c_0
numpy 1.14.3 py27hcd700cb_1
numpy-base 1.14.3 py27h9be14a7_1
numpydoc 0.8.0 py27_0
odo 0.5.1 py27h9170de3_0
olefile 0.45.1 py27_0
openpyxl 2.5.3 py27_0
openssl 1.0.2o h20670df_0
packaging 17.1 py27_0
pandas 0.23.0 py27h637b7d7_0
pandoc 1.19.2.1 hea2e7c5_1
pandocfilters 1.4.2 py27h428e1e5_1
pango 1.41.0 hd475d92_0
parso 0.2.0 py27_0
partd 0.3.8 py27h4e55004_0
patchelf 0.9 hf79760b_2
path.py 11.0.1 py27_0
pathlib2 2.3.2 py27_0
patsy 0.5.0 py27_0
pcre 8.42 h439df22_0
pep8 1.7.1 py27_0
pexpect 4.5.0 py27_0
pickleshare 0.7.4 py27h09770e1_0
pillow 5.1.0 py27h3deb7b8_0
pip 10.0.1 py27_0
pixman 0.34.0 hceecf20_3
pkginfo 1.4.2 py27_1
pluggy 0.6.0 py27h1f4f128_0
ply 3.11 py27_0
prompt_toolkit 1.0.15 py27h1b593e1_0
psutil 5.4.5 py27h14c3975_0
ptyprocess 0.5.2 py27h4ccb14c_0
py 1.5.3 py27_0
pycairo 1.15.4 py27h1b9232e_1
pycodestyle 2.4.0 py27_0
pycosat 0.6.3 py27ha4109ae_0
pycparser 2.18 py27hefa08c5_1
pycrypto 2.6.1 py27h14c3975_8
pycurl 7.43.0.1 py27hb7f436b_0
pyflakes 1.6.0 py27h904a57d_0
pygments 2.2.0 py27h4a8b6f5_0
pylint 1.8.4 py27_0
pyodbc 4.0.23 py27hf484d3e_0
pyopenssl 18.0.0 py27_0
pyparsing 2.2.0 py27hf1513f8_1
pyqt 5.9.2 py27h751905a_0
pysocks 1.6.8 py27_0
pytables 3.4.3 py27h02b9ad4_2
pytest 3.5.1 py27_0
python 2.7.15 h1571d57_0
python-dateutil 2.7.3 py27_0
pytz 2018.4 py27_0
pywavelets 0.5.2 py27hecda097_0
pyyaml 3.12 py27h2d70dd7_1
pyzmq 17.0.0 py27h14c3975_1
qt 5.9.5 h7e424d6_0
qtawesome 0.4.4 py27hd7914c3_0
qtconsole 4.3.1 py27hc444b0d_0
qtpy 1.4.1 py27_0
readline 7.0 ha6073c6_4
requests 2.18.4 py27hc5b0589_1
rope 0.10.7 py27hfe459b0_0
ruamel_yaml 0.15.35 py27h14c3975_1
scandir 1.7 py27h14c3975_0
scikit-image 0.13.1 py27h14c3975_1
scikit-learn 0.19.1 py27h445a80a_0
scipy 1.1.0 py27hfc37229_0
seaborn 0.8.1 py27h633ea1e_0
send2trash 1.5.0 py27_0
setuptools 39.1.0 py27_0
simplegeneric 0.8.1 py27_2
singledispatch 3.4.0.3 py27h9bcb476_0
sip 4.19.8 py27hf484d3e_0
six 1.11.0 py27h5f960f1_1
snappy 1.1.7 hbae5bb6_3
snowballstemmer 1.2.1 py27h44e2768_0
sortedcollections 0.6.1 py27_0
sortedcontainers 1.5.10 py27_0
sphinx 1.7.4 py27_0
sphinxcontrib 1.0 py27h1512b58_1
sphinxcontrib-websupport 1.0.1 py27hf906f22_1
spyder 3.2.8 py27_0
sqlalchemy 1.2.7 py27h6b74fdf_0
sqlite 3.23.1 he433501_0
ssl_match_hostname 3.5.0.1 py27h4ec10b9_2
statsmodels 0.9.0 py27h3010b51_0
subprocess32 3.5.0 py27h14c3975_0
sympy 1.1.1 py27hc28188a_0
tblib 1.3.2 py27h51fe5ba_0
terminado 0.8.1 py27_1
testpath 0.3.1 py27hc38d2c4_0
tk 8.6.7 hc745277_3
toolz 0.9.0 py27_0
tornado 5.0.2 py27_0
traitlets 4.3.2 py27hd6ce930_0
typing 3.6.4 py27_0
unicodecsv 0.14.1 py27h5062da9_0
unixodbc 2.3.6 h1bed415_0
urllib3 1.22 py27ha55213b_0
wcwidth 0.1.7 py27h9e3e1ab_0
webencodings 0.5.1 py27hff10b21_1
werkzeug 0.14.1 py27_0
wheel 0.31.1 py27_0
widgetsnbextension 3.2.1 py27_0
wrapt 1.10.11 py27h04f6869_0
xlrd 1.1.0 py27ha77178f_1
xlsxwriter 1.0.4 py27_0
xlwt 1.3.0 py27h3d85d97_0
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
zeromq 4.2.5 h439df22_0
zict 0.1.3 py27h12c336c_0
zlib 1.2.11 ha838bed_2

This steps works for me:
Jupyter Instance
!source activate python3( or other env. , not root )
!conda config --remove channels defaults
!conda config --add channels conda-forge
!conda install "your library"
!conda list
import "your library"