I am setting up python/numpy/scipy/matplotlib/mysql on my Mac Lion. I first installed Python 2.7.3 and mysqldb. I then updated to XCode 4.3.3 and used the ScipySuperpack to install numpy, scipy, etc.
at this point I am able to import several packages in python without incident but matplotlib dies as follows:
Python 2.7.3 (v2.7.3:70274d53c1dd, Apr 9 2012, 20:52:43)
[GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> import scipy
>>> import _mysql
/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-
packages/MySQL_python-1.2.3-py2.7-macosx-10.6-intel.egg/_mysql.py:3:
UserWarning: Module _mysql was already imported from
/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-
packages/MySQL_python-1.2.3-py2.7-macosx-10.6-intel.egg/_mysql.pyc, but
/Users/myname/pypy is being added to sys.path
>>> import matplotlib
Error 2002: Can't connect to local MySQL server through socket
'/tmp/mysql.sock' (2)
Sorry if the question is basic but I don't understand the warning, or what it may have to
do with the eventual error...
Strange. There is probably some internal namespace collision going on (given that this doesn't happen if you are in the mysql build directory). Matplotlib does not use mysql in any way, I checked this from a clone of the matplotlib source with:
$> grep -ir mysql *
And got no hits. But I guess the obvious answer is not to import matplotlib from within the mysql build directory...
Related
I'm building a new conda environment using python=3.9 for the
osx-arm64 architecture.
conda create -n py39 python=3.9 numpy
conda list
...
numpy 1.21.1 py39h1a24bff_2
...
python 3.9.7 hc70090a_1
So far so good: numpy=1.21.1 is the one i want. Now I want to add
scipy, and the first one seems to fit the bill:
conda search scipy --info
scipy 1.7.1 py39h2f0f56f_2
--------------------------
file name : scipy-1.7.1-py39h2f0f56f_2.conda
name : scipy
version : 1.7.1
build : py39h2f0f56f_2
build number: 2
size : 14.8 MB
license : BSD 3-Clause
subdir : osx-arm64
url : https://repo.anaconda.com/pkgs/main/osx-arm64/scipy-1.7.1-py39h2f0f56f_2.conda
md5 : edbd5a5399e973d1d0325147b7118f79
timestamp : 2021-08-25 16:12:39 UTC
dependencies:
- blas * openblas
- libcxx >=12.0.0
- libgfortran 5.*
- libgfortran5 >=11.1.0
- libopenblas >=0.3.17,<1.0a0
- numpy >=1.19.5,<2.0a0
- python >=3.9,<3.10.0a0
in particular, python >=3.9 and numpy >=1.19 seems just right.
but when i try the install
conda install scipy
...
The following packages will be DOWNGRADED:
numpy 1.21.1-py39h1a24bff_2 --> 1.19.5-py39habd9f23_3
(I have bumped into various constraints with numpy=1.19 (numba,
pandas,) and am trying to avoid it.)
Why isn't the scipy package happy with the numpy=1.21 version I
have?!
The only possible clue is that conda reports a different python
version (3.8.11) than the v3.9 I specified for this environment:
conda info
active environment : py39
active env location : .../miniconda3/envs/py39
shell level : 1
user config file : .../.condarc
populated config files : .../.condarc
conda version : 4.11.0
conda-build version : not installed
python version : 3.8.11.final.0 <-------------------
virtual packages : __osx=12.1=0
...
but all the environment's pointers seem to be set correctly:
(py39) % which python
.../miniconda3/envs/py39/bin/python
(py39) % python
Python 3.9.7 (default, Sep 16 2021, 23:53:23)
[Clang 12.0.0 ] :: Anaconda, Inc. on darwin
Thanks, any hints as to what's broken will be greatly appreciated!
I now have things working, but I'm afraid I can't point to a satisfying "answer." Others (eg #merv) seem to not be having the same problems and I can't identify the difference.
The one thing that I did find that seemed to create issues in my install was what seems to be some mislabeling of the pandas package: pandas v1.3.5 breaks a numpy==1.19.5 requirement that is the only way i've been able to push it thru. i posted a pandas issue comment
>>> from netmiko import ConnectHandler
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Python27\lib\site-packages\netmiko\__init__.py", line 7, in <module>
Hello Experts,
Post applying from netmiko import ConnectHandler command I am getting above error.
Setup - Windows 10, Python 3.7, Netmiko installed. no other file present in pc with name netmiko.py.
Please suggest solution.
In order to use Netmiko, you need to be in the same python environment that you installed netmiko.
I see you installed Windows 10 and Python 3.7, but the python that is being used to call Netmiko is 2.7. You can tell from the "Python27" in the directory name C:\Python27\lib\site-packages\netmiko\__init__.py.
Run a Python 3.7 shell and try the command again. Make sure Netmiko is properly installed in the environment.
To verify if netmiko is installed, type help("modules") to retrieve a list of all installed packages. If Netmiko was properly installed, you should see it there.
Python 3.7.5 (tags/v3.7.5:5c02a39a0b, Oct 15 2019, 00:11:34) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> help("modules")
Please wait a moment while I gather a list of all available modules...
---- output omitted ----
Cryptodome bdb gc pyexpat
__future__ binascii genericpath pygments
_string codecs netaddr tabnanny
_strptime codeop netapp tarfile
_struct collections netmiko telnetlib
_symtable colorama netmiko_globals tempfile
_testbuffer colorsys netrc terminal_server
_testcapi compileall nntplib test
_testconsole concurrent nt textfsm
_testimportmultiple configparser ntpath textwrap
_testmultiphase contextlib nturl2path this
_textfsm contextvars numbers threading
I hope this was helpful
Run : python3 to access python version 3.5+ terminal.
>>>from netmiko import ConnectHandler
I can connect to HIVE using sqlalchemy without any issues :
oguz#dikanka:~$ python
Python 2.7.15+ (default, Jul 9 2019, 16:51:35)
[GCC 7.4.0] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from sqlalchemy import create_engine
>>> engine = create_engine('hive://dikanka:10000')
>>> result = engine.execute("select movieid from default.ratings")
>>> result.first();
(242,)
But when I try to connect Superset to Hive, I receive the following error :
ERROR: {"error": "Connection failed!\n\nThe error message returned was:\nCan't load plugin: sqlalchemy.dialects:hive"}
Details are as follows :
I have a single-node HDP-3.1.4.0 setup on my laptop.
I have the following services up and running : HDFS 3.1.1, Hive 3.1.0, Zookeeper 3.4.6, Superset 0.23.0
Python version is Python 2.7.15+.
Hive command line interface works smoothly.
I've installed the following python modules:
pip install thrift
sudo apt-get install libsasl2-dev
pip install sasl
pip install thrift_sasl
pip install pyhive
Last but not least, I have a KUbuntu 18.04.
On Superset, I try to add a database named "default", and I set the SQLAlchemy URI to
hive://dikanka:10000
which is exactly the same URI I used with create_engine above.
Then I click "Test Connection", with all default values for the rest of the form.
I get the error as mentioned above.
In order to instal the hive sqlalchemy driver you need to do
pip install 'pyhive[hive]'
That should fix the error you got.
I am wondering whether importing Tensorflow in a jython session is feasible and if so, how shall I configure my environment to get it running.
Of course, using python, importing Tensorflow works as expected. Is Tensorflow compatible with Jython ?
[mata] /home/mata/mlp > python
imPython 2.7.12 |Continuum Analytics, Inc.| (default, Jul 2 2016, 17:42:40) [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.org
>>> import tensorflow as tf
>>>
whereas with Jython
[mata] /home/mata/mlp > jython
Jython 2.7.0 (default:9987c746f838, Apr 29 2015, 02:25:11)
[Java HotSpot(TM) 64-Bit Server VM (Oracle Corporation)] on java1.8.0_101
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: No module named tensorflow
>>>
Update:
I tried to load the libtensorflow JAR but still, I seem to be missing something here...
>>> import sys
>>> sys.path.append("libtensorflow-1.2.1.jar")
>>> help(tf) # OK
but I must be missing some obvious step to get the hello Tensorflow case work...
No, Jython won't work with Python modules that use C/C++.
The jar you're trying to use is for the Java API (over JNI), so guess you've already seen https://www.tensorflow.org/install/install_java
Presenting symptom: autogen disables the build of slideshowshuffle and pythonconsole, reporting "no python support." Platform is Ubuntu 9.04, Jaunty Jackalope; Gnome 2.26.1.
Log extract:
checking for a Python interpreter with version >= 2.3... python
checking for python... /usr/bin/python
checking for python version... 2.6
checking for python platform... linux2
checking for python script directory... ${prefix}/lib/python2.6/site-packages
checking for python extension module directory... ${exec_prefix}/lib/python2.6/site-packages
checking for PYGTK... no
configure: WARNING: Python not found, disabling python support
Evidence that both python and pygtk are installed:
Python 2.6.2 (release26-maint, Apr 19 2009, 01:56:41)
[GCC 4.3.3] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import pygtk
>>>
I note the capitalization of PYGTK, which is common for environment variables. There is no PYGTK environment variable.
Your search - "PYGTK environment
variable" - did not match any
documents.
A grep for PYGTK in the tree rooted from /usr/share/doc/python-gtk2-doc/html returned no rows.
Try installing "python-gtk2-dev" package. You can make sure you have it with
pkg-config --list-all | grep pygtk-2.0
I think, the one you're using from python is "python-gtk2".