I am trying to upgrade a python package called "bokeh", that is containing an "examples" directory in its ditribution files:
Here the link to the distribution file:
https://pypi.python.org/pypi/bokeh/0.12.10
And here an image showing the content of the tar.gz file:
I can see the "examples" directory that i am after is present.
However if i pip install --upgrade bokeh, only the directory "bokeh" (the first one in the image) is installed on my machine.
How can i have this "example" directory to be install as well eventually?
It is meant that way because of the sample data size needed for the examples provided. This is from the documentation:
Some of the Bokeh examples rely on sample data that is not included in
the Bokeh GitHub repository or released packages, due to their size.
Once Bokeh is installed, the sample data can be obtained by executing
the following command at a Bash or Windows prompt:
bokeh sampledata
or, run this in your python interpreter:
import bokeh.sampledata
bokeh.sampledata.download()
Normal pip installations are not supposed to be "looked into" by the user. Depending on your system they might end up in
/usr/local/lib/python2.7/site-packages
or
$PYTHON_HOME/lib/python2.7/site-packages
or somewhere entirely else.
Instead you should Git clone the repo (or download the tarball from there) and install the directory (an editable install)
git clone https://github.com/bokeh/bokeh.git
pip install -e bokeh/
that way the library you are using is directly next to the examples you are using:
import bokeh
directly imports the code you just downloaded.
Alternatively you can install bokeh from PyPI and just git clone or download the repository to get the examples. But you should be aware that
import bokeh
doesn't import the library you just downloaded, but the one you installed earlier.
Related
This question already has answers here:
What is the use case for `pip install -e`?
(3 answers)
Closed 4 months ago.
Whilst in some_other_package, I am importing files from the snnalgorithms pip package. I received the error:
No module named 'src.snnalgorithms'. This is a valid error because that src.snnalgorithms file does not exist in the some_other_package project from which I was calling the pip package.
As a solution, I can make all the imports in the snn.algorithms pip package, relative to itself. Instead of:
from src.snnalgorithms.population.DUMMY import DUMMY
One could write:
from snnalgorithms.population.DUMMY import DUMMY
However, that implies that each time I want to run the code to briefly verify a minor change, or run the tests after a change, I will have to:
Upload the changes into the pip package.
Re-install the pip package locally to reflect the changes.
This significantly slows down development. Hence I was wondering are there more efficient solutions for this?
You can use editable mode for development mode
pip install -e . # Install package locally
From pip documentation:
Editable installs allow you to install your project without copying any files. Instead, the files in the development directory are added to Python’s import path. This approach is well suited for development and is also known as a “development installation”.
With an editable install, you only need to perform a re-installation if you change the project metadata (eg: version, what scripts need to be generated etc). You will still need to run build commands when you need to perform a compilation for non-Python code in the project (eg: C extensions).
Example
If you have project: some_other_package from which you call pip package snnalgorithms you can:
cd snnalgorithms
pip install -e .
cd ..
cd some_other_package
python -m src.some_other_package
Assuming you use the same conda environment for both packages, both packages will then be able to use your newest changes that have not even been published to pypi.org yet.
I am trying to install PyHook using PIP. When I run the command on cmd pip install pyhook3 I get a C1080 error that tells me there is no such .h file located in my directory. I traced the directory, downloaded the file and it showed me another. I kept doing this until I noticed that there seems to be no end. There seems to be a lot of missing .h files in this includes folder C:\Users\User\AppData\Local\Programs\Python\Python38-32\include directory. I don't want to have to download or copy and paste source code for each of these files. Is there any way to get all of them at once, or am I missing the plot entirely?
pyhook is a Python package with binary dependencies.
When running pip install pyhook3 you download the source and ask your computer to build it so it can be installed. It thus requires a compiler and a set of header files that are apparently missing for you.
A workaround may be to download manually a compiled version of this package and install it.
You can find on this page a set of binary wheel for pyhook (not pyhook3) for python3 (32 or 64 bit). Once you have downloaded the correct .whl, you can install it with pip install the_filename_you_have_downloaded.whl
I'd like to install a certain python package with pip but because of the proxy I am sitting behind pip cannot connect to the internet.
So my question is: Where does pip look for .whl files in order to download them? Can't I just use my browser (which can connect to the internet just fine) to download the .whl file? Installing the package with the downloaded .whl file would be not a problem then.
pip searches the Python package index (PyPI), each package lists downloads (including wheels, if there are any) with a direct download link on the page. Package pages have the form of https://pypi.python.org/pypi/<package_name> or https://pypi.python.org/pypi/<package_name>/<version> for specific versions.
If you can only download wheels manually with your browser, it doesn't matter where you put the wheel file. Just install the wheel file directly:
pip install path/to/wheel.whl
However, pip supports downloading over a proxy just fine:
pip --proxy username:password#proxy_server:proxy_port install ...
See the --proxy command line switch documentation. You can add the proxy setting to a pip configuration file so you don't have to set it on the command line each time, or by setting environment variables; see the Using a Proxy Server section in the Pip User Guide.
How to get an URL pip is using to download the file:
Get JSON from https://pypi.python.org/pypi/package_name/json
parse releases part, select the latest release
go through available files (usually there are more than one), taking your platform into account (e.g. x32 vs x64, Windows or Linux version, installed Python etc)
use url property
E.g.:
import requests
package = requests.get("https://pypi.python.org/pypi/pandas/json").json()
max_ver = max(package["releases"].keys())
# ... check compatibility
file = get_file_idx(package['releases'][max_ver])
urllib.urlretrieve(file["url"])
I installed Pillow, and after I want to do:
from PIL import Image
I get the following error:
Traceback (most recent call last):
File "<console>", line 1, in <module>
File "/usr/local/lib/python2.7/dist-packages/PIL/Image.py", line 61, in <module>
ImportError: cannot import name _imaging
However, if I import these separately, everything is fine, ie:
import _imaging
import Image
Do you know what the problem might be?
I had the same problem and I solved that by upgrading this package using the command below:
pip install -U Pillow
This also happens if you built Pillow in one OS and then copied the contents of site-packages to another one. For example, if you are creating AWS Lambda deployment package, that's the error you will face when running the Lambda function. If that's the case, then Pillow needs to be installed in a Amazon Linux instance and you have to use the resulting site-packages in your deployment package. See instructions and details here:
http://docs.aws.amazon.com/lambda/latest/dg/with-s3-example-deployment-pkg.html
I ran into this problem as well. It can happen if you have PIL installed, then install Pillow on top of it.
Go to /usr/local/lib/python2.7/dist-packages/ and delete anything with "PIL" in the name (including directories). If the Pillow .egg file is there you might as well delete that too.
Then re-install Pillow.
substitute "python2.7" for the version of python you're using.
What is your version of pillow?
Pillow >= 2.1.0 no longer supports import _imaging. Please use from PIL.Image import core as _imaging instead. Here's the official documentation.
I have got the same error with Python 3.6. Upgrading Pillow did the job for me.
sudo python3.6 -m pip install Pillow --upgrade
Probably for other python versions use your version instead of 3.6.
This can happen if you're trying to run Pillow installed on a Mac in a Linux environment (for example, e.g. building an AWS Lambda on a Mac then deploying it to a Linux runtime).
To make sure you're installing it for the right platform do the following:
pip3 install --platform manylinux1_x86_64 --only-binary=:all:
The --only-binary=:all: is required when specifying --platform and the platform itself can be found by looking at https://pypi.org/project/Pillow/7.2.0/#files (for example) - the platform is the last part of the filename e.g. win32, manylinux1_x86_64, manylinux1_i686 etc.
This avoids the need to be running Linux to install the Linux build of Pillow.
This may be a niche solution but I was able to fix this problem on Pycharm by going to file->settings->python interpreter and clicking the upgrade symbol next to the pillow package.
For pillow to work PIL must be in /usr/local/lib/python2.7 or3/dist-packages/PIL.py.
In dist-packages PIL.py should have a folder.
sudo apt-get update
pip install Pillow
PIL != PiL
I had the same problem when it tried to deploy a lambda package, the thing is that you have to precompile the package emulating the lambda architecture/runtime that you are going to use, otherwise you'll get cannot import name _imaging. 2 ways of solving this:
1 - spin up an EC2 Amazon Linux instance.( i will only cover this part)
2 - Use dockers.
Short solution
Install Python 3 in Amazon Linux 2 intance. (Must be python3.X you plan to use in lambda)
Install a virtual environment under the ec2-user home directory.
Activate the environment, and then install Boto 3.
Install Pillow
Create a ZIP archive with the contents of the library(PIL and Pillow.libs)
Add your function code to the archive.
Update your the lambda.(AWS CLI)
Long solution
If Python 3 isn't already installed, then install the package using the yum package manager.
`$ sudo yum install python3 -y`
Create a virtual environment under the ec2-user home directory
The following command creates the app directory with the virtual environment inside of it. You can change my_app to another name. If you change my_app, make sure that you reference the new name in the remaining resolution steps.
`$ python3 -m venv my_app/env`
Activate the virtual environment and install Boto 3
Attach an AWS Identity and Access Management (IAM) role to your EC2 instance with the proper permissions policies so that Boto 3 can interact with the AWS APIs. For other authentication methods....For a quick use you can set your credential using $ aws confifure see documentation ( you will need this in step 7)
3.1 Activate the environment by sourcing the activate file in the bin directory under your project directory.
`$ source ~/my_app/env/bin/activate`
3.2. Make sure that you have the latest pip module installed within your environment.
$ pip install pip --upgrade
3.3 Use the pip command to install the Boto 3 library within our virtual environment.
`pip install boto3`
Install libraries with pip.
$ pip install Pillow
4.1 Deactivate the virtual environment.
`$ deactivate`
Create a ZIP archive with the contents of the library.
change directory to where pip is installes. it should be something like /my_app/env/lib/python3.x/site-packages.
IMPORTANT: the key here is to zip the file inside site-packages into
your lambda.(i only used PIL and Pillow.libs to save space but you can
zip everything)
5.1 ZIP everything thats inside the PIL folder.
`zip -r9 PIL.zip ./PIL/`
add the Pillow.libs to your ZIP
`zip -gr PIL.zip Pillow.libs`
Add your function code to the archive.
you can do this in the console if it just on file of code, but i recomend doing it in this step.If you don't have your code,just create a file using vi or nano and save it with the name that your lambda handler will use (in this case will use lambda_function.py).
`zip -g PIL.zip lambda_function.py`
Update your the lambda.(AWS CLI)
if you haven't create a lambda function,do it now before updating the function from the aws cli, make sure that you have the right permission to update lambda from the aws cli.
change LAMBDAFUNCTIONNAME for your function name
aws lambda update-function-code --function-name LAMBDAFUNCTIONNAME P --zip-file fileb://PIL.zip
Getting out of the first loop of hell
go to your lambda console and test your code, make sure you use the same runtime/python version you used in the EC2 instance
Quick solution - import PyQt5 as well,
you will not get that error message.
import PyQt5
from PIL import ImageGrab
As some other answers have alluded to, this can happen when you build Pillow on MacOS and try to import PIL in another OS like some Amazon Linux flavor.
My exact use-case was to package imagehash as a Lambda layer which includes pillow as a dependency. The following guideline has worked great for me for all python packages.
Install the SAM CLI SAM Installation
Create your python script with the lambda handler defined
Create your template.yml file with your Lambda function defined. Your CodeUri should be the relative path to your python script.
Add the package you are trying to create a layer for to your requirements.txt.
Run the following SAM command sam build -t path_to_template
You will now have the following directory .aws-sam/build/{Logical ID Of Lambda Function}. Inside you will see that your python packages and their dependencies have been installed just as if you ran pip download package and unzipped the wheel files.
Now, the python files have been prepped by SAM specifically for Lambda and you can continue with creating your Lambda Layer as desired. Configuring Lambda Layers
Since I use AWS SAM CLI already for running Lambda functions locally, this has been the easiest method for me to create my layers.
Just uninstall pillow:
pip uninstall pillow
then install pillow again:
pip install pillow
works great
I'm using Flask with Google App Engine. I have the module Pillow installed via this command:
pip install -t lib pillow
I fixed this error by defined PIL in my app.yaml file:
libraries:
- name: PIL
version: latest
Solution
pip uninstall PIL
pip uninstall Pillow
pip install Pillow
I'm trying to install Pandas using pip, but I'm having a bit of trouble. I just ran sudo pip install pandas which successfully downloaded pandas. However, it did not get downloaded to the location that I wanted. Here's what I see when I use pip show pandas:
---
Name: pandas
Version: 0.14.0
Location: /Library/Python/2.7/site-packages/pandas-0.14.0-py2.7-macosx-10.9-intel.egg
Requires: python-dateutil, pytz, numpy
So it is installed. But I was confused when I created a new Python Project and searched under System Libs/lib/python for pandas, because it didn't show up. Some of the other packages that I've downloaded in the past did show up, however, so I tried to take a look at where those were. Running pip show numpy (which I can import with no problem) yielded:
---
Name: numpy
Version: 1.6.2
Location: /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python
Requires:
Which is in a completely different directory. For the sake of confirming my error, I ran pip install pyquery to see where it would be downloaded to, and got:
Name: pyquery
Version: 1.2.8
Location: /Library/Python/2.7/site-packages
Requires: lxml, cssselect
So the same place as pandas...
How do I change the default download location for pip so that these packages are downloaded to the same location that numpy is in?
Note: There were a few similar questions that I saw when searching for a solution, but I didn't see anything that mentioned permanently changing the default location.
According to pip documentation at
http://pip.readthedocs.org/en/stable/user_guide/#configuration
You will need to specify the default install location within a pip.ini file, which, also according to the website above is usually located as follows
On Unix and Mac OS X the configuration file is: $HOME/.pip/pip.conf
On Windows, the configuration file is: %HOME%\pip\pip.ini
The %HOME% is located in C:\Users\Bob on windows assuming your name is Bob
On linux the $HOME directory can be located by using cd ~
You may have to create the pip.ini file when you find your pip directory. Within your pip.ini or pip.config you will then need to put (assuming your on windows) something like
[global]
target=C:\Users\Bob\Desktop
Except that you would replace C:\Users\Bob\Desktop with whatever path you desire. If you are on Linux you would replace it with something like /usr/local/your/path
After saving the command would then be
pip install pandas
However, the program you install might assume it will be installed in a certain directory and might not work as a result of being installed elsewhere.
You can set the following environment variable:
PIP_TARGET=/path/to/pip/dir
https://pip.pypa.io/en/stable/user_guide/#environment-variables
Open Terminal and type:
pip config set global.target /Users/Bob/Library/Python/3.8/lib/python/site-packages
except instead of
/Users/Bob/Library/Python/3.8/lib/python/site-packages
you would use whatever directory you want.
Follow these steps
pip config set global.target D:\site-packages to change install path
or py -m pip config --user --editor notepad edit
[global]
target = D:\site-packages
set environment variable to use download import xxx
PIP_TARGET=site-packages
PYTHONPATH=site-packages
3.pip config unset global.target, to upgrade pip py -m pip install --upgrade pip
#Austin's answer is outdated, here for more up-to-date solution:
According to pip documentation at
https://pip.pypa.io/en/stable/topics/configuration/
You will need to specify the default install location within a configuration file, which, also according to the website above is usually located as follows
Mac OS
$HOME/Library/Application Support/pip/pip.conf if directory $HOME/Library/Application Support/pip exists else $HOME/.config/pip/pip.conf.
The legacy “per-user” configuration file is also loaded, if it exists: $HOME/.pip/pip.conf.
The $HOME folder can be located by navigating to ~/ (cmd+shift+G in Finder; cmd+shift+. to show hidden files).
Windows
%APPDATA%\pip\pip.ini
The legacy “per-user” configuration file is also loaded, if it exists: %HOME%\pip\pip.ini
The %HOME% is located in C:\Users\Bob on windows assuming your username is Bob
Unix
$HOME/.config/pip/pip.conf, which respects the XDG_CONFIG_HOME environment variable.
The legacy “per-user” configuration file is also loaded, if it exists: $HOME/.pip/pip.conf.
On linux the $HOME directory can be located by using cd ~
You may have to create the configuration file when you find your pip directory. Put something like
[global]
target = /Library/Frameworks/Python.framework/Versions/Current/lib/python3.10/site-packages/
if you are on a Mac. Except that you would replace /Library/Frameworks/Python.framework/Versions/Current/lib/python3.10/site-packages/ with whatever path you desire. If you are on Linux you would replace it with something like /usr/local/your/path
After saving the command would then be
pip install pandas
However, the program you install might assume it will be installed in a certain directory and might not work as a result of being installed elsewhere.
Please note that
pip3 install pandas
might be the solution if your packages gets installed in the Python2 folder vs Python3.