I have some simple cefpython code opening a url and am trying to create a stand alone executable with pyinstaller:
I copied files from https://github.com/cztomczak/cefpython/tree/master/examples/pyinstaller to a a directry named pyinstaller
I made following minor changes to pyinstaller.spec
+SECRET_CIPHER = ""
...
- ["../wxpython.py"],
+ ["../hello.py"],
...
- icon="../resources/wxpython.ico")
+ )
I can successfully compile my application on windows with python
On the same machine with python 3.5.4 64 bit and following virtualenv:
cefpython3==66.0
future==0.18.2
PyInstaller==3.2.1
pypiwin32==223
pywin32==228
I can also compile windows with python 3.6.4 64 and following virtualenv:
altgraph==0.17
cefpython3==66.0
future==0.18.2
macholib==1.14
pefile==2019.4.18
PyInstaller==3.3.1
pyinstaller-hooks-contrib==2020.9
pypiwin32==223
pywin32==228
pywin32-ctypes==0.2.0
On Linux compilation works as well, but the executable is not operational.
I get following output and error:
CEF Python 66.0
Chromium 66.0.3359.181
CEF 3.3359.1774.gd49d25f
Python 3.5.2 64bit
[1013/180954.001980:ERROR:icu_util.cc(133)] Invalid file descriptor to ICU data received.
Trace/breakpoint trap (core dumped)
version is python 3.5.2 64bit and the virtualenv is:
cefpython3==66.0
pkg-resources==0.0.0
PyInstaller==3.2.1
What could be the cause?
The code, that I try to compile is below:
import platform
import sys
from cefpython3 import cefpython as cef
def check_versions():
ver = cef.GetVersion()
print("CEF Python {ver}".format(ver=ver["version"]))
print("Chromium {ver}".format(ver=ver["chrome_version"]))
print("CEF {ver}".format(ver=ver["cef_version"]))
print("Python {ver} {arch}".format(
ver=platform.python_version(),
arch=platform.architecture()[0]))
assert cef.__version__ >= "57.0", "CEF Python v57.0+ required to run this"
def main(url="https://www.stackoverflow.com"):
sys.excepthook = cef.ExceptHook
check_versions()
settings = {}
switches = {}
browser_settings = {}
cef.Initialize(settings=settings, switches=switches)
cef.CreateBrowserSync(
url=url,
window_title="CEF_HELLO: ",
settings=browser_settings,
)
cef.MessageLoop()
cef.Shutdown()
if __name__ == "__main__":
main()
Addendum: 2020-10-14:
same error on linux with other versions:
so far I tried python 3.5 and 3.7
Is there anybody who successfully created an executable?
I could be, that this just an issue with the example project and its configuration?
As alternative, a solution could be found in PyInstaller bug 5400
Here the steps:
1- download the PyInstaller helper in CEFpython named hook-cefpython3.py from:
https://github.com/cztomczak/cefpython/tree/master/examples/pyinstaller and put in the root directory of your project
2- In that file, replace the line:
from PyInstaller.compat import is_win, is_darwin, is_linux, is_py2
with:
from PyInstaller.compat import is_win, is_darwin, is_linux
is_py2 = False
3- in your PyInstaller .spec file, add the '.' to the hookspath, e.g. hookspath=['.']. I think it is also possible to add it as PyInstaller command line option.
These steps should solve the problem, until CEFPython deliver a correct version of the hook file.
This is not really the answer I would like to accept, but it is at least one solution and contains information, that might lead to a better fix, a better answer.
After debugging with strace I found out, that the executable searches many files like for example icudtl.dat, v8_context_snapshot.bin, locales/* were searched in
'dist/cefapp/cefpython3but were copied todist/cefapp/`
An ugly work around is to do following after compilation
cd dist/cefapp/cefpython3
ln -s ../* .
and the executable works.
I'm sure there is also a nicer non-brute-force solution, but for the time being I wanted to answer in case others are stuck as well
Probably this can be fixed in the spec file but would we need one spec file for linux and one for windows then?
Perhaps there's also an option to tell the excutable to search for these files one level higer?
To solve this, you need to set this in your spec file:
hookspath=[r'YOUR_ENV_SITE_PACKAGES\cefpython3\examples\pyinstaller\']
And then rebuild, you will have things in the right place.
The following steps solved the issue for me on Windows 10, Python 3.9.5 32-bit, PyInstaller 4.3, and CEFPython 66.1:
Download the hook-cefpython3.py file from here and put it into your project root directory.
Run the pyinstaller command as usual but add the --additional-hooks-dir . command line option, so the command will look like this:
pyinstaller --additional-hooks-dir . <main-file.py>
As opposed to other answers here, this anser neither requires changes of hookspath directive in pyinstaller's spec file and, as of now, nor any changes to the downloaded hook-cefpython3.py file.
I am on Windows 10, I have anaconda installed but I want to create an executable independently in a new, clean minimal environment using python 3.5. So I did some tests:
TEST1:
I created a python script test1.py in the folder testenv with only:
print('Hello World')
Then I created the environment, installed pyinstaller and created the executable
D:\testenv> python -m venv venv_test
...
D:\testenv\venv_test\Scripts>activate.bat
...
(venv_test) D:\testenv>pip install pyinstaller
(venv_test) D:\testenv>pyinstaller --clean -F test1.py
And it creates my test1.exe of about 6 Mb
TEST 2: I modified test1.py as follows:
import pandas as pd
print('Hello World')
I installed pandas in the environment and created the new executable:
(venv_test) D:\testenv>pip install pandas
(venv_test) D:\testenv>pyinstaller --clean -F test1.py
Ant it creates my test1.exe which is now of 230 Mb!!!
if I run the command
(venv_test) D:\testenv>python -V
Python 3.5.2 :: Anaconda custom (64-bit)
when I am running pyinstaller I get some messages I do not understand, for example:
INFO: site: retargeting to fake-dir 'c:\\users\\username\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages\\PyInstaller\\fake-modules'
Also I am getting messages about matplotlib and other modules that have nothing to do with my code, for example:
INFO: Matplotlib backend "pdf": added
INFO: Matplotlib backend "pgf": added
INFO: Matplotlib backend "ps": added
INFO: Matplotlib backend "svg": added
I know there are some related questions:
Reducing size of pyinstaller exe, size of executable using pyinstaller and numpy
but I could not solve the problem and I am afraid I am doing something wrong with respect to anaconda.
So my questions are:
what am I doing wrong? can I reduce the size of my executable?
I accepted the answer above but I post here what I did step by step for complete beginners like me who easily get lost.
Before I begin I post my complete test1.py example script with all the modules I actually need. My apologies if it is a bit more complex than the original question but maybe this can help someone.
test1.py looks like this:
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.image as image
import numpy as np
import os.path
import pandas as pd
import re
from matplotlib.ticker import AutoMinorLocator
from netCDF4 import Dataset
from time import time
from scipy.spatial import distance
from simpledbf import Dbf5
from sys import argv
print('Hello World')
I added matplotlib.use('Agg') (as my actual code is creating figures)
Generating a PNG with matplotlib when DISPLAY is undefined
1) Install a new version of python independently from anaconda.
downloaded python from:
https://www.python.org/downloads/
installed selecting 'add python to path' and deselecting install launcher for all users (I don't have admin rights)
check that I am using the same version from CMD, just writing python I get:
Python 3.6.4 (v3.6.4:d48eceb, Dec 19 2017,
06:04:45) [MSC v.1900 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
2) Create and activate the environment, from CMD
D:\> mkdir py36envtest
...
D:\py36envtest>python -m venv venv_py36
...
D:\py36envtest\venv_py36\Scripts>activate.bat
3) Install in the environment all the modules needed in the script
Making sure they are compatible to the python version with the command:
(from Matplotlib not recognized as a module when importing in Python)
(venv_py36) D:\py36envtest> python -m pip install nameofmodule
NB: in my case I also had to add the option --proxy https://00.000.000.00:0000
for the example I used development version of py installer:
(venv_py36) D:\py36envtest> python -m pip install https://github.com/pyinstaller/pyinstaller/archive/develop.tar.gz
and the modules: pandas, matplolib, simpledbf, scipy, netCDF4. At the end my environment looks like this.
(venv_py36) D:\py36envtest> pip freeze
altgraph==0.15
cycler==0.10.0
future==0.16.0
macholib==1.9
matplotlib==2.1.2
netCDF4==1.3.1
numpy==1.14.0
pandas==0.22.0
pefile==2017.11.5
PyInstaller==3.4.dev0+5f9190544
pyparsing==2.2.0
pypiwin32==220
python-dateutil==2.6.1
pytz==2017.3
scipy==1.0.0
simpledbf==0.2.6
six==1.11.0
style==1.1.0
update==0.0.1
4) Create/modify the .spec file (when you run pyinstaller it creates a .spec file, you can rename).
Initially I got a lot of ImportError: DLL load failed (especially for scipy) and missing module error which I solved thanks to these posts:
What is the recommended way to persist (pickle) custom sklearn pipelines?
and the comment to this answer:
Pyinstaller with scipy.signal ImportError: DLL load failed
My inputtest1.spec finally looks like this:
# -*- mode: python -*-
options = [ ('v', None, 'OPTION')]
block_cipher = None
a = Analysis(['test1.py'],
pathex=['D:\\py36envtest', 'D:\\py36envtest\\venv_py36\\Lib\\site-packages\\scipy\\extra-dll' ],
binaries=[],
datas=[],
hiddenimports=['scipy._lib.messagestream',
'pandas._libs.tslibs.timedeltas'],
hookspath=[],
runtime_hooks=[],
excludes=[],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=block_cipher)
pyz = PYZ(a.pure, a.zipped_data,
cipher=block_cipher)
exe = EXE(pyz,
a.scripts,
a.binaries,
a.zipfiles,
a.datas,
name='test1',
debug=False,
strip=False,
upx=True,
runtime_tmpdir=None,
console=True )
5) Finally make the executable with the command
(venv_py36) D:\py36envtest>pyinstaller -F --clean inputtest1.spec
my test1.exe is 47.6 Mb, the .exe of the same script created from an anaconda virtual environment is 229 Mb.
I am happy (and if there are more suggestions they are welcome)
The problem is that you should not be using a virtual environment and especially not anaconda. Please download default python 32 bit and use only necessary modules. Then follow the steps provided in the links, this should definitely fix it.
Although you created a virtual env, are you sure your spec file is not linking to old Anaconda entries?
If all this fails, then submit a bug as this is very strange.
I had a similar problem and found a solution.
I used Windows terminal preview. This program allows creation of various virtual environments like Windows Power Shell (btw. Linux Ubuntu too. Also, worth noting: you can have many terminals in this program installed and, even, open a few at once. Very cool stuff).
Inside Windows Power Shell in Windows terminal preview I installed all the necessary libraries (like numpy, pandas,re, etc.), then I opened the path to my file and tried to use this command:
pyinstaller --onefile -w 'filename.py'
...but, the output exe didn't work. For some reason, the console said that there is a lack of one library (which I had installed earlier). I've found the solution in mimic the auto-py-to-exe library. The command used by this GUI is:
pyinstaller --noconfirm --onedir --console "C:/Users/something/filename.py"
And this one works well. I reduced the size of my output exe program from 911MB to 82,9MB !!!
BTW. 911MB was the size of output made by auto-py-to-exe.
I wonder how is it possible that no one yet has created a compressor that reads the code, checks what libraries are part of the code, then putting only them inside the compression. In my case, auto-py-to-exe probably loaded all libraries that I ever installed. That would explain the size of this compressed folder.
Some suggest using https://virtualenv.pypa.io/en/stable/ but in my opinion, this library is very difficult, at least for me.
When using Python on an interactive shell I'm able to import the cx_Oracle file with no problem. Ex:
me#server~/ $ python
Python 2.7.6 (default, Mar 22 2014, 22:59:56)
[GCC 4.8.2] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import cx_Oracle
>>>
As you can see, importing works without a hitch. However, when I try to run a Python script doing the same thing, I get an error:
me#server~/ $ sudo script.py
Traceback (most recent call last):
File "/usr/local/bin/script.py", line 19, in <module>
import cx_Oracle
ImportError: No module named "cx_Oracle'
Here is the important section from script.py:
# 16 other lines above here
# Imports
import sys
import cx_Oracle
import psycopg2
...
I'm befuddled here. Other pertinent information is the server I'm running is Ubuntu 14.04.1 LTS (upgraded from 12.04) 64bit. which python and sudo which python both point to the same location. Also, doing this as root via sudo su - gets the same results; import OK from interactive but error from script.
Nothing other than the OS upgrade happened between when this worked and when it stopped working.
Sorry, all. This was a silly on my part. Turns out the script in question was using Python3, and when the server upgraded, Python3 went from being 3.2 version to being 3.4 version.
Once the cx_Oracle module was set up in the 3.4 version, everything worked as expected.
Phil, your final note talking about the shebang was what lead me to discover this, so kudos to you! The reason I didn't mark your response as the answer was because technically it wasn't but led me on the right path.
Cheers!
sudo starts a new bash environment which is then pointing to a different python executable (different installed modules).
You can verify this with which python and sudo which python
EDIT: so if they point to the same executable, then you should look at sys.path to find differences. In both environemnts you can:
python -c "import sys; print('\n'.join(sys.path))"
sudo python -c "import sys; print('\n'.join(sys.path))"
Look for differences. If there are none:
A common error in import situations like this is that python will first look at the local dir. So if you happen to be running python and importing something what is found locally (i.e. cx_Oracle is a subdir of your current location), you will get an import error if you change directories.
Final note: I have assumed here that the shbang of the script.py points to the same executable as which python. That is, that python script.py and script.py return the same error.
How do I find the location of my site-packages directory?
There are two types of site-packages directories, global and per user.
Global site-packages ("dist-packages") directories are listed in sys.path when you run:
python -m site
For a more concise list run getsitepackages from the site module in Python code:
python -c 'import site; print(site.getsitepackages())'
Caution: In virtual environments getsitepackages is not available with older versions of virtualenv, sys.path from above will list the virtualenv's site-packages directory correctly, though. In Python 3, you may use the sysconfig module instead:
python3 -c 'import sysconfig; print(sysconfig.get_paths()["purelib"])'
The per user site-packages directory (PEP 370) is where Python installs your local packages:
python -m site --user-site
If this points to a non-existing directory check the exit status of Python and see python -m site --help for explanations.
Hint: Running pip list --user or pip freeze --user gives you a list of all installed per user site-packages.
Practical Tips
<package>.__path__ lets you identify the location(s) of a specific package: (details)
$ python -c "import setuptools as _; print(_.__path__)"
['/usr/lib/python2.7/dist-packages/setuptools']
<module>.__file__ lets you identify the location of a specific module: (difference)
$ python3 -c "import os as _; print(_.__file__)"
/usr/lib/python3.6/os.py
Run pip show <package> to show Debian-style package information:
$ pip show pytest
Name: pytest
Version: 3.8.2
Summary: pytest: simple powerful testing with Python
Home-page: https://docs.pytest.org/en/latest/
Author: Holger Krekel, Bruno Oliveira, Ronny Pfannschmidt, Floris Bruynooghe, Brianna Laugher, Florian Bruhin and others
Author-email: None
License: MIT license
Location: /home/peter/.local/lib/python3.4/site-packages
Requires: more-itertools, atomicwrites, setuptools, attrs, pathlib2, six, py, pluggy
>>> import site; site.getsitepackages()
['/usr/local/lib/python2.7/dist-packages', '/usr/lib/python2.7/dist-packages']
(or just first item with site.getsitepackages()[0])
A solution that:
outside of virtualenv - provides the path of global site-packages,
insidue a virtualenv - provides the virtualenv's site-packages
...is this one-liner:
python -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())"
Formatted for readability (rather than use as a one-liner), that looks like the following:
from distutils.sysconfig import get_python_lib
print(get_python_lib())
Source: an very old version of "How to Install Django" documentation (though this is useful to more than just Django installation)
For Ubuntu,
python -c "from distutils.sysconfig import get_python_lib; print get_python_lib()"
...is not correct.
It will point you to /usr/lib/pythonX.X/dist-packages
This folder only contains packages your operating system has automatically installed for programs to run.
On ubuntu, the site-packages folder that contains packages installed via setup_tools\easy_install\pip will be in /usr/local/lib/pythonX.X/dist-packages
The second folder is probably the more useful one if the use case is related to installation or reading source code.
If you do not use Ubuntu, you are probably safe copy-pasting the first code box into the terminal.
This is what worked for me:
python -m site --user-site
A modern stdlib way is using sysconfig module, available in version 2.7 and 3.2+. Unlike the current accepted answer, this method still works regardless of whether or not you have a virtual environment active.
Note: sysconfig (source) is not to be confused with the distutils.sysconfig submodule (source) mentioned in several other answers here. The latter is an entirely different module and it's lacking the get_paths function discussed below. Additionally, distutils is deprecated in 3.10 and will be unavailable soon.
Python currently uses eight paths (docs):
stdlib: directory containing the standard Python library files that are not platform-specific.
platstdlib: directory containing the standard Python library files that are platform-specific.
platlib: directory for site-specific, platform-specific files.
purelib: directory for site-specific, non-platform-specific files.
include: directory for non-platform-specific header files.
platinclude: directory for platform-specific header files.
scripts: directory for script files.
data: directory for data files.
In most cases, users finding this question would be interested in the 'purelib' path (in some cases, you might be interested in 'platlib' too). The purelib path is where ordinary Python packages will be installed by tools like pip.
At system level, you'll see something like this:
# Linux
$ python3 -c "import sysconfig; print(sysconfig.get_path('purelib'))"
/usr/local/lib/python3.8/site-packages
# macOS (brew installed python3.8)
$ python3 -c "import sysconfig; print(sysconfig.get_path('purelib'))"
/usr/local/Cellar/python#3.8/3.8.3/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages
# Windows
C:\> py -c "import sysconfig; print(sysconfig.get_path('purelib'))"
C:\Users\wim\AppData\Local\Programs\Python\Python38\Lib\site-packages
With a venv, you'll get something like this
# Linux
/tmp/.venv/lib/python3.8/site-packages
# macOS
/private/tmp/.venv/lib/python3.8/site-packages
# Windows
C:\Users\wim\AppData\Local\Temp\.venv\Lib\site-packages
The function sysconfig.get_paths() returns a dict of all of the relevant installation paths, example on Linux:
>>> import sysconfig
>>> sysconfig.get_paths()
{'stdlib': '/usr/local/lib/python3.8',
'platstdlib': '/usr/local/lib/python3.8',
'purelib': '/usr/local/lib/python3.8/site-packages',
'platlib': '/usr/local/lib/python3.8/site-packages',
'include': '/usr/local/include/python3.8',
'platinclude': '/usr/local/include/python3.8',
'scripts': '/usr/local/bin',
'data': '/usr/local'}
A shell script is also available to display these details, which you can invoke by executing sysconfig as a module:
python -m sysconfig
Addendum: What about Debian / Ubuntu?
As some commenters point out, the sysconfig results for Debian systems (and Ubuntu, as a derivative) are not accurate. When a user pip installs a package it will go into dist-packages not site-packages, as per Debian policies on Python packaging.
The root cause of the discrepancy is because Debian patch the distutils install layout, to correctly reflect their changes to the site, but they fail to patch the sysconfig module.
For example, on Ubuntu 20.04.4 LTS (Focal Fossa):
root#cb5e85f17c7f:/# python3 -m sysconfig | grep packages
platlib = "/usr/lib/python3.8/site-packages"
purelib = "/usr/lib/python3.8/site-packages"
root#cb5e85f17c7f:/# python3 -m site | grep packages
'/usr/local/lib/python3.8/dist-packages',
'/usr/lib/python3/dist-packages',
USER_SITE: '/root/.local/lib/python3.8/site-packages' (doesn't exist)
It looks like the patched Python installation that Debian/Ubuntu are distributing is a bit hacked up, and they will need to figure out a new plan for 3.12+ when distutils is completely unavailable. Probably, they will have to start patching sysconfig as well, since this is what pip will be using for install locations.
Let's say you have installed the package 'django'. import it and type in dir(django). It will show you, all the functions and attributes with that module. Type in the python interpreter -
>>> import django
>>> dir(django)
['VERSION', '__builtins__', '__doc__', '__file__', '__name__', '__package__', '__path__', 'get_version']
>>> print django.__path__
['/Library/Python/2.6/site-packages/django']
You can do the same thing if you have installed mercurial.
This is for Snow Leopard. But I think it should work in general as well.
As others have noted, distutils.sysconfig has the relevant settings:
import distutils.sysconfig
print distutils.sysconfig.get_python_lib()
...though the default site.py does something a bit more crude, paraphrased below:
import sys, os
print os.sep.join([sys.prefix, 'lib', 'python' + sys.version[:3], 'site-packages'])
(it also adds ${sys.prefix}/lib/site-python and adds both paths for sys.exec_prefix as well, should that constant be different).
That said, what's the context? You shouldn't be messing with your site-packages directly; setuptools/distutils will work for installation, and your program may be running in a virtualenv where your pythonpath is completely user-local, so it shouldn't assume use of the system site-packages directly either.
The native system packages installed with python installation in Debian based systems can be found at :
/usr/lib/python2.7/dist-packages/
In OSX - /Library/Python/2.7/site-packages
by using this small code :
from distutils.sysconfig import get_python_lib
print get_python_lib()
However, the list of packages installed via pip can be found at :
/usr/local/bin/
Or one can simply write the following command to list all paths where python packages are.
>>> import site; site.getsitepackages()
['/usr/local/lib/python2.7/dist-packages', '/usr/lib/python2.7/dist-packages']
Note: the location might vary based on your OS, like in OSX
>>> import site; site.getsitepackages()
['/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages', '/System/Library/Frameworks/Python.framework/Versions/2.7/lib/site-python', '/Library/Python/2.7/site-packages']
pip show will give all the details about a package:
https://pip.pypa.io/en/stable/reference/pip_show/ [pip show][1]
To get the location:
pip show <package_name>| grep Location
In Linux, you can go to site-packages folder by:
cd $(python -c "import site; print(site.getsitepackages()[0])")
All the answers (or: the same answer repeated over and over) are inadequate. What you want to do is this:
from setuptools.command.easy_install import easy_install
class easy_install_default(easy_install):
""" class easy_install had problems with the fist parameter not being
an instance of Distribution, even though it was. This is due to
some import-related mess.
"""
def __init__(self):
from distutils.dist import Distribution
dist = Distribution()
self.distribution = dist
self.initialize_options()
self._dry_run = None
self.verbose = dist.verbose
self.force = None
self.help = 0
self.finalized = 0
e = easy_install_default()
import distutils.errors
try:
e.finalize_options()
except distutils.errors.DistutilsError:
pass
print e.install_dir
The final line shows you the installation dir. Works on Ubuntu, whereas the above ones don't. Don't ask me about windows or other dists, but since it's the exact same dir that easy_install uses by default, it's probably correct everywhere where easy_install works (so, everywhere, even macs). Have fun. Note: original code has many swearwords in it.
An additional note to the get_python_lib function mentioned already: on some platforms different directories are used for platform specific modules (eg: modules that require compilation). If you pass plat_specific=True to the function you get the site packages for platform specific packages.
This works for me.
It will get you both dist-packages and site-packages folders.
If the folder is not on Python's path, it won't be
doing you much good anyway.
import sys;
print [f for f in sys.path if f.endswith('packages')]
Output (Ubuntu installation):
['/home/username/.local/lib/python2.7/site-packages',
'/usr/local/lib/python2.7/dist-packages',
'/usr/lib/python2.7/dist-packages']
This should work on all distributions in and out of virtual environment due to it's "low-tech" nature. The os module always resides in the parent directory of 'site-packages'
import os; print(os.path.dirname(os.__file__) + '/site-packages')
To change dir to the site-packages dir I use the following alias (on *nix systems):
alias cdsp='cd $(python -c "import os; print(os.path.dirname(os.__file__))"); cd site-packages'
A side-note: The proposed solution (distutils.sysconfig.get_python_lib()) does not work when there is more than one site-packages directory (as recommended by this article). It will only return the main site-packages directory.
Alas, I have no better solution either. Python doesn't seem to keep track of site-packages directories, just the packages within them.
from distutils.sysconfig import get_python_lib
print get_python_lib()
You should try this command to determine pip's install location
Python 2
pip show six | grep "Location:" | cut -d " " -f2
Python 3
pip3 show six | grep "Location:" | cut -d " " -f2
Answer to old question. But use ipython for this.
pip install ipython
ipython
import imaplib
imaplib?
This will give the following output about imaplib package -
Type: module
String form: <module 'imaplib' from '/usr/lib/python2.7/imaplib.py'>
File: /usr/lib/python2.7/imaplib.py
Docstring:
IMAP4 client.
Based on RFC 2060.
Public class: IMAP4
Public variable: Debug
Public functions: Internaldate2tuple
Int2AP
ParseFlags
Time2Internaldate
For those who are using poetry, you can find your virtual environment path with poetry debug:
$ poetry debug
Poetry
Version: 1.1.4
Python: 3.8.2
Virtualenv
Python: 3.8.2
Implementation: CPython
Path: /Users/cglacet/.pyenv/versions/3.8.2/envs/my-virtualenv
Valid: True
System
Platform: darwin
OS: posix
Python: /Users/cglacet/.pyenv/versions/3.8.2
Using this information you can list site packages:
ls /Users/cglacet/.pyenv/versions/3.8.2/envs/my-virtualenv/lib/python3.8/site-packages/
I made a really simple function that gets the job done
import site
def get_site_packages_dir():
return [p for p in site.getsitepackages()
if p.endswith(("site-packages", "dist-packages"))][0]
get_site_packages_dir()
# '/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages'
If you want to retrieve the results using the terminal:
python3 -c "import site;print([p for p in site.getsitepackages() if p.endswith(('site-packages', 'dist-packages')) ][0])"
/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages
I had to do something slightly different for a project I was working on: find the relative site-packages directory relative to the base install prefix. If the site-packages folder was in /usr/lib/python2.7/site-packages, I wanted the /lib/python2.7/site-packages part. I have, in fact, encountered systems where site-packages was in /usr/lib64, and the accepted answer did NOT work on those systems.
Similar to cheater's answer, my solution peeks deep into the guts of Distutils, to find the path that actually gets passed around inside setup.py. It was such a pain to figure out that I don't want anyone to ever have to figure this out again.
import sys
import os
from distutils.command.install import INSTALL_SCHEMES
if os.name == 'nt':
scheme_key = 'nt'
else:
scheme_key = 'unix_prefix'
print(INSTALL_SCHEMES[scheme_key]['purelib'].replace('$py_version_short', (str.split(sys.version))[0][0:3]).replace('$base', ''))
That should print something like /Lib/site-packages or /lib/python3.6/site-packages.
Something that has not been mentioned which I believe is useful, if you have two versions of Python installed e.g. both 3.8 and 3.5 there might be two folders called site-packages on your machine. In that case you can specify the python version by using the following:
py -3.5 -c "import site; print(site.getsitepackages()[1])