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How'd you install pandas? It looks like you may have multiple versions installed in that environment. |
$ python3 -m pip install -UI --user pandas |
output of pip list?
…On Thu, Oct 11, 2018 at 1:00 PM rickhg12hs ***@***.***> wrote:
$ python3 -m pip install -UI --user pandas
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$ python3 -m pip list
Package Version
---------------------------- ----------
absl-py 0.5.0
aiohttp 2.2.5
aiohttp-cors 0.5.3
asn1crypto 0.23.0
astor 0.7.1
astropy 1.3.3
async-timeout 1.2.0
backcall 0.1.0
Beaker 1.5.4
beautifulsoup4 4.6.0
binwalk 2.1.1
bleach 3.0.2
blessings 1.7
blivet 2.1.11
blivet-gui 2.1.7
bottle 0.12.13
Bottleneck 1.2.1
Brlapi 0.6.6
btrfs 8
ccsm 0.8.14
certifi 2018.8.24
cffi 1.9.1
chardet 3.0.4
chrome-gnome-shell 0.0.0
cloudpickle 0.6.1
colorama 0.4.0
configobj 5.0.6
coverage 4.4.1
cryptography 2.0.2
cssselect 0.9.2
cupshelpers 1.0
cycler 0.10.0
dask 0.19.4
decorator 4.3.0
defusedxml 0.5.0
docutils 0.13.1
dspace 2.0
entrypoints 0.2.3
fail2ban 0.9.7
fastcache 1.0.2
Forensic1394 0.1
frescobaldi 3.0.0
fros 1.1
fusion-icon 0.2.4
gast 0.2.0
Glances 3.0.2
gmpy2 2.0.8
gns3-gui 2.1.0rc1
gns3-net-converter 1.3.0
gns3-server 2.1.0rc1
gpg 1.8.0
graphviz 0.9
grpcio 1.15.0
h5py 2.8.0
html5lib 1.0.1
httplib2 0.10.3
humanize 0.5.1
idna 2.7
imageio 2.4.1
inception 0.4.0
iniparse 0.4
initial-setup 0.3.46
IPy 0.81
ipykernel 5.1.0
ipython 7.0.1
ipython-genutils 0.2.0
ipywidgets 7.4.2
isc 2.0
javapackages 4.7.0
jedi 0.13.1
Jinja2 2.10
joblib 0.11
jsonschema 2.6.0
jupyter 1.0.0
jupyter-client 5.2.3
jupyter-console 6.0.0
jupyter-core 4.4.0
jupyterlab 0.35.0
jupyterlab-launcher 0.13.1
jupyterlab-server 0.2.0
Keras-Applications 1.0.6
Keras-Preprocessing 1.0.5
kismon 0.8.1
kiwisolver 1.0.1
langtable 0.0.37
lightdm-gtk-greeter-settings 1.2.2
lxml 4.2.5
Mako 1.0.6.dev0
Markdown 3.0.1
Markups 2.0.0
MarkupSafe 1.0
matplotlib 3.0.0
mistune 0.8.4
mock 2.0.0
mpmath 0.19
multidict 3.3.0
nbconvert 5.4.0
nbformat 4.4.0
networkx 2.2
nose 1.3.7
notebook 5.7.0
ntplib 0.3.3
numexpr 2.6.8
numpy 1.15.2
oaiharvest 3.0.0
olefile 0.45.1
openshot-qt 2.4.1
ordered-set 2.0.0
pandas 0.23.4
pandocfilters 1.4.2
parso 0.3.1
path.py 5.2
patsy 0.5.0
pbr 4.3.0
pexpect 4.6.0
pickleshare 0.7.5
pid 2.1.1
Pillow 5.3.0
pip 18.1
pipdeptree 0.13.1
plotly 3.3.0
ply 3.9
prometheus-client 0.4.1
prompt-toolkit 2.0.5
protobuf 3.6.1
psutil 5.4.7
ptyprocess 0.6.0
pwquality 1.3.0
py 1.4.34
pycparser 2.14
pycups 1.9.72
pycurl 7.43.0
pydot 1.0.29
pyenchant 1.6.10
pyglet 1.2.4
Pygments 2.2.0
pygobject 3.24.1
pygpgme 0.3
pyinotify 0.9.6
PyIscsi 1.0
pykickstart 2.35
pyoai 2.5.0
pyOpenSSL 16.2.0
pyparsing 2.2.2
pyparted 3.10.7
PySocks 1.6.7
pystray 0.14.3
pytest 3.2.3
python-augeas 0.5.0
python-dateutil 2.7.3
python-dmidecode 3.12.2
python-ly 0.9.5
python-meh 0.43
python-poppler-qt5 0.24.1
python-xlib 0.23
pytoml 0.1.14
pytz 2018.5
pyudev 0.21.0
PyWavelets 1.0.1
pyxdg 0.25
PyYAML 3.12
pyzmq 17.1.2
qtconsole 4.4.1
raven 6.0.0
readchar 2.0.1
regex 2018.2.21
registries 0.1
reportlab 3.3.0
requests 2.19.1
requests-file 1.4
requests-ftp 0.3.1
ReText 7.0.0
retrying 1.3.3
rpm-python 4.13.1
rpmconf 1.0.19
scikit-image 0.14.1
scikit-learn 0.20.0
scipy 1.1.0
seaborn 0.9.0
Send2Trash 1.5.0
sepolicy 1.1
setools 4.1.0
setroubleshoot 1.1
setuptools 40.4.3
sh 1.12.14
simple-ccsm 0.8.14.1
simplegeneric 0.8.1
simplejson 3.10.0
six 1.11.0
sklearn 0.0
slip 0.6.4
slip.dbus 0.6.4
sos 3.5
SSSDConfig 1.16.1
statsmodels 0.9.0
sympy 1.1.1
systemd-python 234
tensorboard 1.11.0
tensorflow 1.12.0rc0
termcolor 1.1.0
terminado 0.8.1
testpath 0.4.2
textile 2.3.16
Theano 0.9.0
tldr 0.4.4
toolz 0.9.0
tornado 5.1.1
traitlets 4.3.2
urllib3 1.23
veusz 1.27
wcwidth 0.1.7
webencodings 0.5.1
Werkzeug 0.14.1
wheel 0.32.1
widgetsnbextension 3.4.2
wrapt 1.10.10
xlrd 1.1.0
yarl 0.12.0
youtube-dl 2018.10.5
yumex-dnf 4.3.2
zipstream 1.1.4 |
Strange. Are you able to reproduce in a new virtual environment?
…On Thu, Oct 11, 2018 at 1:06 PM rickhg12hs ***@***.***> wrote:
$ python3 -m pip list
Package Version
---------------------------- ----------
absl-py 0.5.0
aiohttp 2.2.5
aiohttp-cors 0.5.3
asn1crypto 0.23.0
astor 0.7.1
astropy 1.3.3
async-timeout 1.2.0
backcall 0.1.0
Beaker 1.5.4
beautifulsoup4 4.6.0
binwalk 2.1.1
bleach 3.0.2
blessings 1.7
blivet 2.1.11
blivet-gui 2.1.7
bottle 0.12.13
Bottleneck 1.2.1
Brlapi 0.6.6
btrfs 8
ccsm 0.8.14
certifi 2018.8.24
cffi 1.9.1
chardet 3.0.4
chrome-gnome-shell 0.0.0
cloudpickle 0.6.1
colorama 0.4.0
configobj 5.0.6
coverage 4.4.1
cryptography 2.0.2
cssselect 0.9.2
cupshelpers 1.0
cycler 0.10.0
dask 0.19.4
decorator 4.3.0
defusedxml 0.5.0
docutils 0.13.1
dspace 2.0
entrypoints 0.2.3
fail2ban 0.9.7
fastcache 1.0.2
Forensic1394 0.1
frescobaldi 3.0.0
fros 1.1
fusion-icon 0.2.4
gast 0.2.0
Glances 3.0.2
gmpy2 2.0.8
gns3-gui 2.1.0rc1
gns3-net-converter 1.3.0
gns3-server 2.1.0rc1
gpg 1.8.0
graphviz 0.9
grpcio 1.15.0
h5py 2.8.0
html5lib 1.0.1
httplib2 0.10.3
humanize 0.5.1
idna 2.7
imageio 2.4.1
inception 0.4.0
iniparse 0.4
initial-setup 0.3.46
IPy 0.81
ipykernel 5.1.0
ipython 7.0.1
ipython-genutils 0.2.0
ipywidgets 7.4.2
isc 2.0
javapackages 4.7.0
jedi 0.13.1
Jinja2 2.10
joblib 0.11
jsonschema 2.6.0
jupyter 1.0.0
jupyter-client 5.2.3
jupyter-console 6.0.0
jupyter-core 4.4.0
jupyterlab 0.35.0
jupyterlab-launcher 0.13.1
jupyterlab-server 0.2.0
Keras-Applications 1.0.6
Keras-Preprocessing 1.0.5
kismon 0.8.1
kiwisolver 1.0.1
langtable 0.0.37
lightdm-gtk-greeter-settings 1.2.2
lxml 4.2.5
Mako 1.0.6.dev0
Markdown 3.0.1
Markups 2.0.0
MarkupSafe 1.0
matplotlib 3.0.0
mistune 0.8.4
mock 2.0.0
mpmath 0.19
multidict 3.3.0
nbconvert 5.4.0
nbformat 4.4.0
networkx 2.2
nose 1.3.7
notebook 5.7.0
ntplib 0.3.3
numexpr 2.6.8
numpy 1.15.2
oaiharvest 3.0.0
olefile 0.45.1
openshot-qt 2.4.1
ordered-set 2.0.0
pandas 0.23.4
pandocfilters 1.4.2
parso 0.3.1
path.py 5.2
patsy 0.5.0
pbr 4.3.0
pexpect 4.6.0
pickleshare 0.7.5
pid 2.1.1
Pillow 5.3.0
pip 18.1
pipdeptree 0.13.1
plotly 3.3.0
ply 3.9
prometheus-client 0.4.1
prompt-toolkit 2.0.5
protobuf 3.6.1
psutil 5.4.7
ptyprocess 0.6.0
pwquality 1.3.0
py 1.4.34
pycparser 2.14
pycups 1.9.72
pycurl 7.43.0
pydot 1.0.29
pyenchant 1.6.10
pyglet 1.2.4
Pygments 2.2.0
pygobject 3.24.1
pygpgme 0.3
pyinotify 0.9.6
PyIscsi 1.0
pykickstart 2.35
pyoai 2.5.0
pyOpenSSL 16.2.0
pyparsing 2.2.2
pyparted 3.10.7
PySocks 1.6.7
pystray 0.14.3
pytest 3.2.3
python-augeas 0.5.0
python-dateutil 2.7.3
python-dmidecode 3.12.2
python-ly 0.9.5
python-meh 0.43
python-poppler-qt5 0.24.1
python-xlib 0.23
pytoml 0.1.14
pytz 2018.5
pyudev 0.21.0
PyWavelets 1.0.1
pyxdg 0.25
PyYAML 3.12
pyzmq 17.1.2
qtconsole 4.4.1
raven 6.0.0
readchar 2.0.1
regex 2018.2.21
registries 0.1
reportlab 3.3.0
requests 2.19.1
requests-file 1.4
requests-ftp 0.3.1
ReText 7.0.0
retrying 1.3.3
rpm-python 4.13.1
rpmconf 1.0.19
scikit-image 0.14.1
scikit-learn 0.20.0
scipy 1.1.0
seaborn 0.9.0
Send2Trash 1.5.0
sepolicy 1.1
setools 4.1.0
setroubleshoot 1.1
setuptools 40.4.3
sh 1.12.14
simple-ccsm 0.8.14.1
simplegeneric 0.8.1
simplejson 3.10.0
six 1.11.0
sklearn 0.0
slip 0.6.4
slip.dbus 0.6.4
sos 3.5
SSSDConfig 1.16.1
statsmodels 0.9.0
sympy 1.1.1
systemd-python 234
tensorboard 1.11.0
tensorflow 1.12.0rc0
termcolor 1.1.0
terminado 0.8.1
testpath 0.4.2
textile 2.3.16
Theano 0.9.0
tldr 0.4.4
toolz 0.9.0
tornado 5.1.1
traitlets 4.3.2
urllib3 1.23
veusz 1.27
wcwidth 0.1.7
webencodings 0.5.1
Werkzeug 0.14.1
wheel 0.32.1
widgetsnbextension 3.4.2
wrapt 1.10.10
xlrd 1.1.0
yarl 0.12.0
youtube-dl 2018.10.5
yumex-dnf 4.3.2
zipstream 1.1.4
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Well, I've never created a virtual environment before and my first attempt failed. $ python3 -m venv --clear python_env
Error: Command '['/home/rick/tmp/python_env/bin/python3', '-Im', 'ensurepip', '--upgrade', '--default-pip']' returned non-zero exit status 1. There is no error with: $ python3 -m venv --clear --without-pip python_env But I don't know how to install any packages without Can you help me with this? |
... OK, I just copied the |
In the virtual environment, the tests completed with:
|
Since this works in a new env, I'm guessing it was an issue with the upgrade. Most likely pip or setuptools failed to remove or update a file from the old install. Not sure if it's a pandas or pip issue, but I'm inclined to just ignore it. |
Hmmm, looks like I should setup and use a virtual environment for |
Separate environments are typically a good idea. |
Code Sample, a copy-pastable example if possible
Problem description
Test fails promptly.
Expected Output
All Tests passing
Output of
pd.show_versions()
[paste the output of
pd.show_versions()
here below this line]In [3]: pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.5.final.0
python-bits: 64
OS: Linux
OS-release: 4.16.11-100.fc26.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.23.4
pytest: 3.2.3
pip: 18.1
setuptools: 40.4.3
Cython: None
numpy: 1.15.2
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 7.0.1
sphinx: None
patsy: 0.5.0
dateutil: 2.7.3
pytz: 2018.5
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 3.0.0
openpyxl: None
xlrd: 1.1.0
xlwt: None
xlsxwriter: None
lxml: 4.2.5
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
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