As reported here, when you use Anaconda, install the packet using conda. In this case, the right instruction to use (on Ubuntu 18.04) is:
conda install -c conda-forge matplotlib
This will solve the problem.
If you use pip (you can), you will mess up all the dependencies (and for instance, the probability that other scripts/programs do not work anymore is not null: if you use Spyder, you will have big dependencies problem to face).
Optional:
In order to always avoid problem like this, I recommend you to use Virtual Enviroment:
Whats is it?
Geeksforgeeks explains it clearly.
How?
A step-by-step guide is always useful.
Answer from Leos313 on Stack OverflowVideos
As reported here, when you use Anaconda, install the packet using conda. In this case, the right instruction to use (on Ubuntu 18.04) is:
conda install -c conda-forge matplotlib
This will solve the problem.
If you use pip (you can), you will mess up all the dependencies (and for instance, the probability that other scripts/programs do not work anymore is not null: if you use Spyder, you will have big dependencies problem to face).
Optional:
In order to always avoid problem like this, I recommend you to use Virtual Enviroment:
Whats is it?
Geeksforgeeks explains it clearly.
How?
A step-by-step guide is always useful.
I had the same issue for days, just solved it by adding "%matplotlib inline" on top of "import matplotlib.pyplot as plt"
So enter this to import mathplotlib.pylot:
%matplotlib inline
import matplotlib.pyplot as plt
I went to the Matplotlib official site discourse and found this post: https://discourse.matplotlib.org/t/matplotlib-announce-ann-matplotlib-3-4-1/21991
Using pip install matplotlib==3.4.1 worked! Originally I had tried pip install matplotlib=3.4.1 but using only a single "=" is wrong.
I tried with DavidD003 solution
https://stackoverflow.com/a/66932922/11753330
and it worked also with conda command:
conda install -c conda-forge matplotlib==3.4.2
In this way the update succeded. Before:
matplotlib 3.3.4 py38hecd8cb5_0
matplotlib-base 3.3.4 py38h8b3ea08_0
After:
matplotlib 3.4.2 py38h50d1736_0 conda-forge
matplotlib-base 3.4.2 py38h6152e83_0 conda-forge
If you're using anaconda, your default environment is Python 2.7. You need to create a new environment and install matplotlib in there.
In a command prompt, do the following (saying yes to the questions):
conda create --name mpl33 python=3.3 matplotlib ipython-notebook
activate mpl33
ipython notebook
You should be able to import matplotlib when the notebook server comes up.
- The first command simultaneously creates the environment and install the listed packages.
- The second command activates the new environment by prepending its location to the system path
- The third command just starts the ipython notebook so that you can test out everything
I don't know how pycharm works, but my guess is that you'll have to tell it to look for the right python that you want to use. In this case it'll be something like: C:/Users//anaconda/envs/mpl33. In any case, the command prompt should display the path when you activate the environment.
Once you've activated your environment, you can install more packages like this:
conda install pandas=0.12
conda install pyodbc statsmodels
You can specific version numbers of packages like the first command or simply accept the latest available version (default)
Assuming you've already installed a 3.x python env in anaconda, this one line should do the trick:
conda install matplotlib -n name
where name is the name you previously gave to your python 3 anaconda env. If you're not sure of the name you gave it, it will be the name of a subdir in the Anaconda\envs directory.
Background: I recently went through the same trouble with matplotlib not getting installed by default by anaconda when I added a full python 3 env, even though it's meant to. The above line solved it for me; it gave me the following warnings so it seems likely that the two different available versions caused it to initially install neither. However it allowed me to choose the one I wanted, and then everything worked great.
Warning: 2 possible package resolutions:
[u'dateutil-2.1-py33_2.tar.bz2', u'matplotlib-1.3.1-np18py33_1.tar.bz2', u'numpy-1.8.0-py33_0.tar.bz2', u'pyparsing-2.0.1-py33_0.tar.bz2', u'pyside-1.2.1-py33_0.tar.bz2', u'python-3.3.5-0.tar.bz2', u'pytz-2013b-py33_0.tar.bz2', u'six-1.6.1-py33_0.tar.bz2']
[u'dateutil-2.1-py33_2.tar.bz2', u'matplotlib-1.3.1-np17py33_1.tar.bz2', u'numpy-1.7.1-py33_3.tar.bz2', u'pyparsing-1.5.6-py33_0.tar.bz2', u'pyside-1.2.1-py33_0.tar.bz2', u'python-3.3.5-0.tar.bz2', u'pytz-2013b-py33_0.tar.bz2', u'six-1.6.1-py33_0.tar.bz2' ]
conda install -c conda-forge matplotlib
It worked for me. My environment is python 3.8 and Ubuntu 18.04.
As of now, March 2020, you must unfortunately downgrade your conda executable (in your base environment) to install matplotlib. Here's the github discussion.
Try this:
conda activate
conda config --set allow_conda_downgrades true
conda install conda==4.6.14
conda create --name test_env
conda activate test_env
conda install matplotlib
This should work.