I am trying to plot a simple graph using pyplot, e.g.:
import matplotlib.pyplot as plt
plt.plot([1,2,3],[5,7,4])
plt.show()
but the figure does not appear and I get the following message:
UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.
I saw in several places that one had to change the configuration of matplotlib using the following:
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
I did this, but then got an error message because it cannot find a module:
ModuleNotFoundError: No module named 'tkinter'
Then, I tried to install "tkinter" using pip install tkinter (inside the virtual environment), but it does not find it:
Collecting tkinter
Could not find a version that satisfies the requirement tkinter (from versions: )
No matching distribution found for tkinter
I should also mention that I am running all this on Pycharm Community Edition IDE using a virtual environment, and that my operating system is Linux/Ubuntu 18.04.
I would like to know how I can solve this problem in order to be able to display the graph.
Solution 1: is to install the GUI backend tk
I found a solution to my problem (thanks to the help of ImportanceOfBeingErnest).
All I had to do was to install tkinter through the Linux bash terminal using the following command:
sudo apt-get install python3-tk
instead of installing it with pip or directly in the virtual environment in Pycharm.
Solution 2: install any of the matplotlib supported GUI backends
solution 1 works fine because you get a GUI backend... in this case the TkAgg
however you can also fix the issue by installing any of the matplolib GUI backends like Qt5Agg, GTKAgg, Qt4Agg, etc
for example pip install pyqt5 will fix the issue also
NOTE:
usually this error appears when you pip install matplotlib and you are trying to display a plot in a GUI window and you do not have a python module for GUI display.
The authors of matplotlib made the pypi software deps not depend on any GUI backend because some people need matplotlib without any GUI backend.
In my case, the error message was implying that I was working in a headless console. So plt.show() could not work. What worked was calling plt.savefig:
import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [5, 7, 4])
plt.savefig("mygraph.png")
I found the answer on a github repository.
If you use Arch Linux (distributions like Manjaro or Antegros) simply type:
sudo pacman -S tk
And all will work perfectly!
Simple install
pip3 install PyQt5==5.9.2
It works for me.
Try import tkinter because pycharm already installed tkinter for you, I looked Install tkinter for Python
You can maybe try:
import tkinter
import matplotlib
import matplotlib.pyplot as plt
matplotlib.use('TkAgg')
plt.plot([1,2,3],[5,7,4])
plt.show()
as a tkinter-installing way
I've tried your way, it seems no error to run at my computer, it successfully shows the figure. maybe because pycharm have tkinter as a system package, so u don't need to install it. But if u can't find tkinter inside, you can go to Tkdocs to see the way of installing tkinter, as it mentions, tkinter is a core package for python.
I added %matplotlib inline
and my plot showed up in Jupyter Notebook.
The answer has been given a few times but it is not obvious, one needs to install graphics, this works.
pip3 install PyQt5
I too had this issue in PyCharm. This issue is because you don't have tkinter module in your machine.
To install follow the steps given below (select your appropriate os)
For ubuntu users
sudo apt-get install python-tk
or
sudo apt-get install python3-tk
For Centos users
sudo yum install python-tkinter
or
sudo yum install python3-tkinter
for Arch Users
sudo pacman -S tk
or
sudo pamac install tk
For Windows, use pip to install tk
After installing tkinter restart your Pycharm and run your code, it will work
This worked with R reticulate. Found it here.
1: matplotlib.use( 'tkagg' )
or
2: matplotlib$use( 'tkagg' )
For example:
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import style
import matplotlib
matplotlib.use( 'tkagg' )
style.use("ggplot")
from sklearn import svm
x = [1, 5, 1.5, 8, 1, 9]
y = [2, 8, 1.8, 8, 0.6, 11]
plt.scatter(x,y)
plt.show()
If using Jupyter notebook try the following:
%matplotlib inline
This should render the plot even if not specifying the
plt.show()
command.
None of these answers worked for me using Pycharm Professional edition 2021.3
Regular matplotlib graphs did work on the scientific view, but it did not allow me to add images to the plots.
What did work for me is adding this line before I try plotting anything:
plt.switch_backend('TkAgg')
issue = “UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.”
And this worked for me
import matplotlib
import matplotlib.pyplot as plt
matplotlib.use('Qt5Agg')
For Windows 10, if using pip install tk does not work for you, try:
Download and run official python installer for windows. Even if you
already have it downloaded, run it again.
When (re)installing python, make sure you chose "advanced" options, and
set the checkbox "tcl/tk and IDLE" to true.
If you already had python installed, select the "Modify" option, and
make sure that checkbox is selected.
Source of my fix:
https://stackoverflow.com/a/59970646/2506354
I have solved it by putting matplotlib.use('TkAgg') after all import statements.
I use python 3.8.5 VSCODE and anaconda.
No other tricks worked.
I installed python3-tk , on Ubuntu 20.04 and using WSL2
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
matplotlib.use( 'tkagg')
and then I installed GWSL from the Windows Store which seems to solve problem of WSL2 rendering out of the box
This will solve the issue. It works well in jupyter.
%matplotlib inline
The comment by #xicocaio should be highlighted.
tkinter is python version-specific in the sense that sudo apt-get install python3-tk will install tkinter exclusively for your default version of python. Suppose you have different python versions within various virtual environments, you will have to install tkinter for the desired python version used in that virtual environment. For example, sudo apt-get install python3.7-tk. Not doing this will still lead to No module named ' tkinter' errors, even after installing it for the global python version.
On Mac OS, I made it work with:
import matplotlib
matplotlib.use('MacOSX')
Ubuntu 20.04 command line setup. I install the following to make Matplotlib stop throwing the error UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.
I installed python-tk through the steps:
apt-get update
apt-get install python3.8-tk
Just in case if this helps anybody.
Python version: 3.7.7
platform: Ubuntu 18.04.4 LTS
This came with default python version 3.6.9, however I had installed my own 3.7.7 version python on it (installed building it from source)
tkinter was not working even when the help('module') shows tkinter in the list.
The following steps worked for me:
sudo apt-get install tk-dev.
rebuild the python:
1. Navigate to your python folder and run the checks:
cd Python-3.7.7
sudo ./configure --enable-optimizations
Build using make command:
sudo make -j 8 --- here 8 are the number of processors, check yours using nproc command.
Installing using:
sudo make altinstall
Don't use sudo make install, it will overwrite default 3.6.9 version, which might be messy later.
Check tkinter now
python3.7 -m tkinter
A windows box will pop up, your tkinter is ready now.
After upgrading lots of packages (Spyder 3 to 4, Keras and Tensorflow and lots of their dependencies), I had the same problem today! I cannot figure out what happened; but the (conda-based) virtual environment that kept using Spyder 3 did not have the problem. Although installing tkinter or changing the backend, via matplotlib.use('TkAgg) as shown above, or this nice post on how to change the backend, might well resolve the problem, I don't see these as rigid solutions. For me, uninstalling matplotlib and reinstalling it was magic and the problem was solved.
pip uninstall matplotlib
... then, install
pip install matplotlib
From all the above, this could be a package management problem, and BTW, I use both conda and pip, whenever feasible.
You can change the matplotlib using backend using the from agg to Tkinter TKAgg using command
matplotlib.use('TKAgg',warn=False, force=True)
Works if you use some third party code in your project. It probably contains the following line
matplotlib.use('Agg')
Search for it and comment it out.
If you have no clue about what it is you are probably not using this part of the code.
Solutions about using another backend GUI may be cleaner, so choose your fighter.
The solution that worked for me:
Install tkinter
import tkinter into the module
make sure that matplotlib uses (TkAgg) instead of (Agg)
matplotlib.use('TkAgg')
execute the following command before plotting
%matplotlib inline
Try:
%matplotlib inline
I had the same problem and it worked for me. I tested it on my Jupyter notebooks and visual studio code, so you should have no problems.
On WSL with X server
Make sure that your X server work. Matplotlib indicate this error if he can't connect to the X display.
Windows Firewall configuration
Pay attention to the windows firewall ! I changed from WSL Debian to Ubuntu and didn't remember about the firewall rule.
I use this post to configure the windows firewall rule to make the X server work. This method avoid too permisive rule that able anyone to use your X server.
It said :
If you already had installed an X11 server, Windows may have created firewall rules that will mess with the above configuration. Search for them and delete them in "Windows Defender Firewall with Advanced Security."
You will now need to configure Windows Firewall to permit connections from WSL2 to the X11 display server. You will install the display server in the next step. We do this step first to avoid Windows Firewall from auto-creating an insecure firewall rule when you run the X11 display server. Many guides on X11 forwarding and WSL2 make this firewall rule too permissive, allowing connections from any computer to your computer. This means someone could theoretically, if they are on your same network, start sending graphical display information to your computer.
To avoid this, we will make Windows Firewall only accept internet traffic from the WSL2 instance.
To set this up, you can copy the below to a script and run it from within WSL2:
#!/bin/sh
LINUX_IP=$(ip addr | awk '/inet / && !/127.0.0.1/ {split($2,a,"/"); print a[1]}')
WINDOWS_IP=$(ip route | awk '/^default/ {print $3}')
# Elevate to administrator status then run netsh to add firewall rule
powershell.exe -Command "Start-Process netsh.exe -ArgumentList \"advfirewall firewall add rule name=X11-Forwarding dir=in action=allow program=%ProgramFiles%\VcXsrv\vcxsrv.exe localip=$WINDOWS_IP remoteip=$LINUX_IP localport=6000 protocol=tcp\" -Verb RunAs"
Manual method :
Alternatively, you can manually add the rule through a GUI by doing the following:
Open "Windows Defender Firewall with Advanced Security"
Click add new rule brings up the New Rule Wizard (next to navigate between each section):
Rule type: Custom
Program: "This program path:" %ProgramFiles%\VcXsrv\vcxsrv.exe
Protocol and ports
Protocol type: TCP
Local port: 6000
Remote port: any
Scope
Local IP address: Obtain the IP address to put in by running the below command in WSL2
ip route | awk '/^default/ {print $3}'
remote IP addresses
Obtain IP address to enter by running the below in WSL2
ip addr | awk '/inet / && !/127.0.0.1/ {split($2,a,"/"); print a[1]}'
Action: "Allow the connection
Profile: Selection Domain, Private, and Public
Name: "X11 forwarding"
Linux Mint 19. Helped for me:
sudo apt install tk-dev
P.S. Recompile python interpreter after package install.
When I ran into this error on Spyder, I changed from running my code line by line to highlighting my block of plotting code and running that all at once. Voila, the image appeared.
If you install python versions using pyenv on Debian-based systems, be sure to run sudo apt install tk-dev before pyenv install. If it's already installed, remove it with pyenv uninstall and install it again after install tk-dev. Therefore, there is no need to set any env variables when running pyenv install.
Related
I'm trying to build PyQt5 from the sources. I'm running fedora 28 and I installed Qt5 via dnf. Installing Sip following this seems OK. But when i try to configure PyQt i got this error:
# python3 configure.py -q /usr/bin/qmake-qt5
Querying qmake about your Qt installation...
Error: Unable to import PyQt5.sip. Make sure you have configured SIP to
create a private copy of the sip module.
According to the doc I did:
# python3 configure.py --sip-module private.sip
# python3 configure.py -q /usr/bin/qmake-qt5 -n private.sip
But i still get the error. So I'm guessing I'm not using it properly. Any suggestions ?
P.S: I know (and i did) that it can be done via pip but i'm facing the same problem than here
Are you trying to install sip-4.19.10 and PyQt5_gpl-5.11.1?
Try a combination of sip-4.19.8 and PyQt5_gpl-5.10.1.
https://sourceforge.net/projects/pyqt/files/PyQt5/
https://sourceforge.net/projects/pyqt/files/sip/
I installed Anaconda on my Windows10 machine and Matplotlib will cause Python to crash once I import it by calling import matplotlib.pyplot:
When I execute conda list on my shell, this is the value of the matplotlib entry:
matplotlib 2.2.2 py36_1 conda-forge
I guess I am not the only one with this critical problem. Any idea how to solve this?
Found a fix - sharing here. Running the following command solved the problem:
conda update qt pyqt
I am using python 2.7 in Ubuntu and recently updated tensorflow 0.12.1.
I installed jupyter today for my sample code of tf and I need to use matplotlib. It does not find module name matplotlib and ipython in tensorflow has same error.
1. How can I set path in virtualenv or ipython or jupyter?
After activate tensorflow, I need to use jupyter notebook.
This below in the script for error does not work.
import sys
sys.path.append('my/path/to/module/folder')
import module-of-interest
2. other information: My environments are below.
mickyefromsd#DEKSTOP~$source ~/tensorflow/bin/activate
When I find matplotlib by python script under TF condition and before TF activation, it has below;
/usr/lib/python2.7/dist-packages/matplotlib/
When I type 'which ipython', it has below (not by /usr/bin/ipython) ;
/home/mickeyfromd/tensorflow/bin/ipython
Btw, /tensorflow/lib/python2.7/site-packages/ it has ipython and jupyter.
(not in the same path of matplotlib)
3. My ipython under TF cannot find my existing matplotlib.
(tensorflow) mickeyfromd#DK-DESKTOP:~$ ipython
Python 2.7.11+ (default, Apr 17 2016, 14:00:29)
In [1]: import matplotlib ImportError: No module named matplotlib
4. I wanted to setup virtualenv, so I just run this
I followed this site. site:http://help.pythonanywhere.com/pages/IPythonNotebookVirtualenvs
(tensorflow) mickeyfromd#ipython kernelspec install-self --user
.....
Installed kernelspec python2 in /home/mickeyfromd/.local/share/jupyter/kernels/python2
(tensorflow) mickeyfromd#DK-DESKTOP:~$
I cannot move the the folder (in the second step)
How can I make ipython to have path for Matplotlib?
That import error is due to change in environment of the jupyter notebook. You might have installed the packages in one environment and you are running the jupyter notebook in another environment.
I have got two environments (envs) in my Anaconda folder ( I have Anaconda3 folder to be specific ).
(windows key+cmd ) -> open the windows command prompt run as administrator.
Activate (name of the environment) -> eg.: activate tensorflow-gpu
Start installing packages using conda install
Note: For each environment you need to install all the packages you want to use, separately using the same process. This solution is for windows users, might work for linux users not sure though.
Additionally to make sure your conda environment is up to date run:
conda update conda
conda update anaconda
check this out : https://pradyumnamajumder.wordpress.com/2017/09/30/solution-to-the-python-packages-import-error-in-jupyter/
The current version of matplotlib (1.3.1) supports xkcd-style plotting, but when I follow the basic instructions for generating such a plot (in iPython 1.1.0),
%pylab
plt.xkcd()
plt.plot(sin(linspace(0, 10)))
plt.title('Whoo Hoo!!!')
I get
instead of
What am I doing wrong?
To get it working, you need
matplotlib 1.3.1 (it won't work with matplotlib 1.3.0 or earlier)
sudo pip install matplotlib --upgrade
font Humor Sans
download from here or here, install (on OS X you open it and click Install)
remove the matplotlib font cache (as suggested by DanHickstein in matplotlib/issues/2269)
rm ~/.matplotlib/fontList.cache
Now, execute the code and it should work.
You do not need to change backend to TkAgg, as some people suggest. For me it works perfectly fine on 'module://IPython.kernel.zmq.pylab.backend_inline' (you can check it by plt.get_backend()).
(I had the same problem and I've solved it, at least on OS X 10.8.5, with matplotlib 1.3.1 and IPython 2.0.0; removing font cache was necessary to get the font running.)
Using ubuntu 16.04 and python 3, with matplotlib 2.0.0 installed the following fixes the problem for me.
Install Comic sans: sudo apt install fonts-humor-sans
Remove matplotlib cache: rm ~/.cache/matplotlib -r
Make sure you have fonts-humor-sans installed.
In Ubuntu/Debian, you can install them with (from the command-line):
$ sudo apt install python3-xkcd fonts-humor-sans
Then the best option (instead of deleting the matplotlib cache) is to rebuild the font manager (from within the Python interpreter, script or Jupyter notebook):
import matplotlib
matplotlib.font_manager._rebuild()
From the blog post you linked:
Also, if you want to have the font match above, be sure to download and install the Humor Sans font on your system. For matplotlib to recognize it, you may have to remove the font cache...
As far as which version of the font to download, I would try the most current.
On Ubuntu 10.10, I am unable to install lxml to python 2.7. Here are the steps I take.
sudo su -
apt-get install python2.7
apt-get install python-lxml
Note when running the install for python-lxml package, the following appeared:
INFO: using unknown version '/usr/bin/python2.7' (debian_defaults not up-to-date?)"
Importing the module in python2.6 (the version that comes standard with Ubuntu) works. However, importing the module under python2.7 does not. So how does one install Python modules to a non-default Python installation?
Try to install libxml2, libxml2-dev, libxslt, libxslt-dev, python-dev. These are header files. Then try to install lxml again.
On Ubuntu 10.10 the python packages installed from the repositories get installed to /usr/lib/python2.6/dist-packages so one option is to add this path to your $PYTHONPATH environmental variable so python2.7 will look to the python2.6 directory for the libs.
What I've done on Ubuntu 10.10 is add
export PYTHONPATH="$PYTHONPATH:/usr/lib/python2.6/dist-packages"
to my .bashrc file, and also to my .gnomerc file. This sets the $PYTHONPATH for python instances started from the shell or from the gnome desktop. You should then be able to import the python libs which you have installed from the Ubuntu repositories in python2.7.
.bashrc and .gnomerc are both located in your home directory; you might have to create .gnomerc if it doesn't already exist. And one caution: I had a syntax error in my .gnomerc which stopped the gnome desktop from loading, and I couldn't log in. I had to use a recovery console to fix this syntax error and then I could log in again.
This seems a little hackish to me, so I'm interested in hearing better solutions.
Another solution might be to use the following code:
try:
from lxml import etree
except ImportError:
try:
# Python 2.5
import xml.etree.cElementTree as etree
except ImportError:
try:
# Python 2.5
import xml.etree.ElementTree as etree
except ImportError:
try:
# normal cElementTree install
import cElementTree as etree
except ImportError:
try:
# normal ElementTree install
import elementtree.ElementTree as etree
except ImportError:
print("Failed to import ElementTree from any known place")
[Source]
This will import lxml if it is available, or the original ElementTree otherwise.
I use this code for my application on Google App Engine (using Python 2.7): on the server it will use lxml, on my machine it will use ElementTree.
I have one easiest trick Just open synaptic package manager type "python-lxml" in search box it will show you all the dependencies and available packages select packages which you want to install and hit apply.