Spyder-terminal does not install with Anaconda Navigator running Python v3.8 or v3.9 or v3.10.
My question is "Is there a way to install the Spyder-Terminal Plugin using Anaconda Navigator running Python 3.8 or 3.9 or 3.10, and use Spyder v5.x " ?
Is there a hack for this to run inside Spyder 5.0.x on Python 3.8, 3.9 or 3.10, WITHOUT creating a new virtual environment?
My Software Versions
Spyder-Terminal Version: spyder-terminal-0.5.0 (spyder-ide/win-64)
Python Version: 3.8 or 3.9
Anaconda v2.0.1
Operating system: Windows 10
What I tried:
I tried installing 'conda install -c spyder-ide spyder-terminal' from Anaconda Command Prompt. I did several trials with MANY errors to learn that Spyder-terminal only works with Spyder v4.2 and NOT Spyder v5.0.3.
Spyder-terminal is (nominally) supposed to work in Python 3.9. So I tried upgrading Anaconda base environment to Python 3.9. However, that BROKE the Anaconda base environment, which required uninstalling and reinstalling the entire Anaconda distribution. (What a hassle. Good thing this was on someone else's computer! 8^))
I finally got it to work in a separate conda virtual environment running Python 3.6. Just to be conservative, I used Python 3.6 instead of Python 3.7. (I later installed Spyder-Terminal in a Python 3.7-based virtual environment and it worked fine.)
The steps that finally worked were to Create a new conda environment with Python 3.6 and install spyder-terminal and spyder-notebook there.
I used the following commands...
conda create -n python36 -c conda-forge python=3.6
conda install spyder-terminal -c conda-forge spyder-ide
conda install spyder-notebook -c conda-forge spyder-ide
The correct version of Spyder (for Python 3.6) was installed along with all of its correct dependencies.
What steps will reproduce the problem?
try installing into an Anaconda distribution with Python 3.8 or Python 3.9 kernels
Wait a long time and get many errors.
Rip out a few locks of hair (preferably someone else's)
**What is the expected output?
Spyder-Terminal plugin installs and is available for use.
What do you see instead?
A bunch of errors. The exact errors were lost when I closed the installation console.
Suggestions
The Spyder-terminal plugin failed repeatedly in Anaconda "base" running v3.8.x or a new environment running v3.9.x. I used a new conda virtual environment, running Python 3.6 runtime kernel and install spyder-terminal there.
The Spyder-terminal installer should do version checks for Python and Spyder FIRST, warn the user, and stop if they are not using Python 3.6 or Python 3.7.
Clearer documentation for Spyder-Terminal plugin installation on the Github.com home page (or built into Spyder Menu "Help" will help the "HELP" system. These docs should state WHICH version(s) of Spyder and Python that Spyder-Terminal v0.5.x requires. A dependency table would also be useful.
Recently, I upgraded to Anaconda3 2020.07 which uses python 3.8. In past versions of anaconda, tensorflow was installed successfully. Tensorflow failed to be installed successfully in this version.
I ran the command below;
conda install tensorflow-gpu
The error message that I received is shown below;
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- tensorflow-gpu -> python[version='3.5.*|3.6.*|3.7.*|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|>=2.7,<2.8.0a0']
Your python: python=3.8
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
The following specifications were found to be incompatible with your CUDA driver:
- feature:/win-64::__cuda==11.0=0
Your installed CUDA driver is: 11.0
Is there a conda command with the right parameters to get tensorflow installed successfully?
UPDATE:
TF is now compatible with Python 3.8
Tensorflow is not compatible with Python 3.8. See https://www.tensorflow.org/install/pip
You need to downgrade your python version :
conda install python=3.7
Create an environment with python 3.7 and then activate it:
conda create -n p37env python=3.7
conda activate p37env
And install tensorflow.
This worked for me, and found out the answer from the Anaconda user guide (under how to use a different python version: https://conda.io/projects/conda/en/latest/user-guide/getting-started.html#managing-python )
From the requirement page:
Python 3.8 support requires TensorFlow 2.2 or later.
So there is a verison of Tensorflow compatible with python 3.8.
The problem is that TensorFlow 2.2.0 is not available through conda on Windows, this should be the reason why you get PackagesNotFoundError when running
conda install tensorflow=2.2
EDIT 15/03/21
Tensorflow 2.3.0 is compatible with Windows
i think we have two options here
pip install tensorflow
or we can use another env of anaconda such as like this below
conda create -n tf tensorflow pydotplus jupyter
conda activate tf
Actually you can directly use pip inside anaconda prompt, after I tested it, I found the conda is capable with pypi, first run the anaconda prompt with administrator permission (in windows), then enter "conda update --all" to make sure all the packages are latest, finally enter "pip install tensorflow" to install (the new version of tensorflow already includes tensorflow-gpu).
Then using VS code to open an ipynb and run
import tensorflow as tf
tf.test.gpu_device_name()
everything looks good.
For more info please refer to Anaconda official docs: https://docs.anaconda.com/anaconda/ .
Latest development for tensorflow installation on anaconda.
https://anaconda.org/anaconda/tensorflow
https://anaconda.org/anaconda/tensorflow-gpu
9 days ago, Anaconda uploaded a new tensorflow v2.3 package. Anaconda3 2020.07 (uses python v3.8) users can easily upgrade to tensorflow v2.3 with the following commands;
conda install -c anaconda tensorflow
conda install -c anaconda tensorflow-gpu
I have personally tested that the installation worked successfully.
The other answers for this question have now become obsolete.
Expanding upon William's answer here with more explicit instructions and caveats. Pip is the recommended way to install latest version of tensorflow as per tensorflow's installation instructions -- "While the TensorFlow provided pip package is recommended, a community-supported Anaconda package is available."
Here is the code that uses pip to do the installation in a Conda environment:
conda create -n env_name python=3.8
conda activate env_name
conda install pandas scikit-learn matplotlib notebook ##installing usual Data Science packages that does include numpy and scipy
pip install tensorflow
python -c "import tensorflow as tf;print(tf.__version__)" ##checks tf version
In general, we should be careful while mixing two package managers (conda and pip). So, it is suggested that:
Only after conda has been used to install as many packages as possible
should pip be used to install any remaining software. If modifications
are needed to the environment, it is best to create a new environment
rather than running conda after pip.
For an example, if we would like to install seaborn in the just created env_name environment, we should:
conda create --name cloned_env --clone env_name
conda activate cloned_env
conda install seaborn
Once we check the cloned_env environment is working fine, we can delete the env_name environment.
I was running into the same issue in conda prompt for Python 3.8.5 and fixed it using a Python wheel instead. Here are the steps:
Open conda prompt and install pip if you don't have it already: python -m pip install --upgrade pip
python -m pip install --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-2.4.0-cp38-cp38-win_amd64.whl
Note: If you need a CPU specific tensorflow, use this wheel: https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow_cpu-2.4.0-cp38-cp38-win_amd64.whl
I just downgraded python to 3.7 as tf is not avialable to 3.8 version also I cannot use virtualenv for code that's why
The only working answer for me is:
conda install -c conda-forge tensorflow
It appears that tensorflow 2.5 on GPU has issues with spyder. So, I made new environment and installed tensorflow gpu as suggested by anaconda. Now I have to use either prompt or jupyter . At least it works
For macos users I suggest create an environment with python 3.7 and install tensorflow there.
You can run these commands too:
conda create -n new_env_name python=3.7
conda activate new_env_name
I had a similar problem in Anaconda Spyder. Here was my solution (In the Anaconda Console):
conda install pip
pip install tensorflow ==2.2.0
I am trying to install pptk in an anaconda environment by
pip install pptk
But everytime it returns the same error
ERROR: Could not find a version that satisfies the requirement pptk (from versions: none)
ERROR: No matching distribution found for pptk
I tried installing from the .whl file that results from building pptk from source following this instruction, but in this case I am stuck with
cmake -G "NMake Makefiles" <build folder>
The cmake error is as following
CMake Error: Could not create named generator NMake Makefiles
Although I was not succeeded in installing in any of the created anaconda environment, I was able to install pptk in the base. Would be much of help to know what else i can try to install pptk in anaconda environments.
I am using python 3.8, Ubuntu 20.04, and anaconda 3
Thanks in advance!
This is because pptk has not released a version that is compatible for python 3.8, it can currently only support python 3.7
pptk has not released a version for python 3.8 yet, you will have to use python 3.7 or wait
Installing Spacy on Windows 10 with pip is failing. Installing any other of a number of modules is working fine for me.
Here is a pastebin containing the error message:
pip install -U spacy
or
python -m pip install spacy
output:
https://pastebin.com/Y9np4veN
I have tried this both with and without virtualenv and it is failing in the same manner either way. I have also already tried installing and updating setuptools. I've ensured that I am using Python 3.7 and pip3. There is no other version of python or pip installed on my PC.
I downgraded to Python 3.6 and was able to successfully install spacy
Using x86-64 ("64-bit") version of Python 3.7 (3.7.4) instead of x86 ("32-bit") one on Windows fixed the issue for me.
Trying to plot the data from ros topics in a rosbag file. My system by default had Python 2.7 and I installed Python 3.5 just to work with Jupyter notebooks.
Now I have installed several packages twice, once for Python 2 and again for Python 3. Although most packages are compatible with both versions of Python, I am beginning to wonder if all the ros packages are compatible here.
For the image in this question, initially I was getting an error 'No module named 'rosbag_pandas'', then I installed it with pip3. Now I am facing the error shown in the image with regards to rosbag. I have searched high and low for a quick fix but to no avail. I read online that some packages only work with either Python 2.7 or with Python 3.5. Is that what's happening here?
FYI I have installed pyrosbag with pip and pip3 both. Still facing this issue. Could really use some help with this.
I faced the same problem and found a workaround for me. Basically, on top of the usual python 3 installation, install a python 2 kernel for jupyter notebook, as described here, as follows:
python2 -m pip install pip
python2 -m pip install --upgrade ipykernel
python2 -m ipykernel install
Not sure if there is indeed a python 3 package for rosbag but using the python 2 kernel you can import rosbag files to save them in another format for further processing in python 3.