I'm getting error while "pip install osmnx" Could anyone explain the problem, else, what to do? I'm using pycharm python 3.7.
the pip install osmnx error in the pic attached has no image. Based on the search, is we need to go for osmnx package and try installation statements given
conda create -n ox -c conda-forge python=3 osmnx
conda config --prepend channels conda-forge
the first statement built two types of interpreters.as other packages work with (conda activate ox EX,osmnx, networkx...ext) whiles others work with (conda deactivate). working with osmnx you need to conda activate ox. otherwise, conda deactivate.
You have to install the required os package: "libspatialindex-dev".
After that, try again to setup OSMnx with pip.
Related
I need to use opencv and it needed python version older than 3.9. So I created a conda environment with python 3.7.9 and tried to use
pip install opencv-python
It installed but when I tried to import it gave an error:
ModuleNotFoundError: No module named 'cv2'
After I installed it on the anaconda environments tab I could import. I need to install pylibdmtx, too, but again I cannot import it after installing.
I see the version of python is 3.7.9 on the environment. But when I use pip it is using this:
/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages (0.1.9)
I do not know what I am missing here. What should I do?
Recommended Solution
Prefer specifying what you want in an environment up front, e.g.,
opencv.yaml
name: py37_opencv
channels:
- conda-forge
- defaults
dependencies:
- python=3.7
- opencv
Create Environment
conda env create -n py37_opencv -f opencv.yaml
Troubleshooting Issue
Otherwise, if you want get the version you have working, try ensuring that pip is actually installed in the environment of interest:
conda activate your_env
conda install pip
# then use pip …
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've found the solution:anaconda - graphviz - can't import after installation
I want to use graphviz and follow the commend in https://anaconda.org/anaconda/graphviz
run following in terminal
conda install -c anaconda graphviz
However no matter in Jupyter Notebook, python or Pycharm to import graphviz, it always shows
ModuleNotFoundError: No module named 'graphviz'
How to solve this problem? Thank you.
PS:
when run which python in terminal: it return /opt/anaconda3/bin/python, therefore I use anaconda environment by default. And I have only one environment in anaconda that is root.
when I run conda list in terminal, I can find this line :
graphviz 2.40.1 hefbbd9a_2
I found a weird thing:
my pip and conda use the same environment:
run :which pip
get : /opt/anaconda3/bin/pip
run : which conda
get : /opt/anaconda3/bin/conda
However when I run pip list, I cannot find graphviz and many other packages which shows in conda list. For these packages show in conda list but not in pip list, I also cannot import them no matter in Jupyter notebook, python, pycharm etc. Why this happens?
After using "conda install attrs", other package installations are working fine without any http connection or ModuleNotFoundError errors. Please try and let me know.
I tried to work with Basemap packages in Python 3.x but, when I try to install the packages in my IDE Pycharm, it gives me this error:
Could not find a version that satisfies the requirement Basemap (from versions: )
No matching distribution found for Basemap
You are using pip version 10.0.1, however version 19.0.3 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
Anyone knows how can I do to install that packages correctly?
(Python 3.x, Pycharm, Windows 10)
You can read on their github that the package was deprecated and they recommended to use cartopy instead:
Source:
https://github.com/matplotlib/basemap
⚠️ Warning: this package is being deprecated in favour of cartopy.
I also ran into a similar problem and the above two solutions did not work for me.
And as you can see here https://github.com/jakevdp/PythonDataScienceHandbook/issues/72#issuecomment-301008464
It is no longer possible to install it via pip, rather try this:
conda install -c conda-forge basemap
You can try to install basemap using precompiled windows binaries.
Download the basemap whl file that is most applicable to you from
here.
Run pip install path_to_the_downloaded_whl on pycharm terminal.
You can install basemap library easily by conda. First of all, you must install conda, then you can create a virtual environment by conda create -n bm python=3.6 (you can use any word you like to replace bm) and activate it by conda activate bm . When command line starts with (bm), you can run conda install basemap to automatically install the library. After that, usually you can use basemap in your python code.
Good luck.
Can someone help me in installing python package "Prophet" on windows 10 .
I tried installing python 3.5 and the dependency 'pystan' but yet I get below error.
"The package setup script has attempted to modify files on your system that are not within the EasyInstall build area, and has been aborted.This package cannot be safely installed by EasyInstall, and may not support alternate installation locations even if you run its setup script by hand.Please inform the package's author and the EasyInstall maintainers to find out if a fix or workaround is available.
Command "python setup.py egg_info" failed with error code 1 in c:\users\suman\appdata\local\temp\pip-build-aqoiqs\fbprophet\"`
I spent a good two days on this issue, finally, I found the following solution
1) Download and install Anaconda 3 (for python 3.6)
2) Create an environment and call it whatever you like
3) Run that environment (which will open the command prompt)
4) follow the following steps in command prompt : (commands are shown in bold)
python -m pip install -U pip
Requirement already up-to-date: pip in c:\users\william\anaconda3\envs\testtime\lib\site-packages
conda install -c conda-forge pystan
Fetching package metadata ...............
Solving package specifications: .
Package plan for installation in environment C:\Users\William\Anaconda3\envs\Testtime:
The following NEW packages will be INSTALLED:
backports: 1.0-py36_1 conda-forge
backports.functools_lru_cache: 1.4-py36_1 conda-forge
ca-certificates: 2017.11.5-0 conda-forge
cycler: 0.10.0-py36_0 conda-forge
cython: 0.27.3-py36_0 conda-forge
freetype: 2.7-vc14_1 conda-forge [vc14]
icc_rt: 2017.0.4-h97af966_0
icu: 58.2-vc14_0 conda-forge [vc14]
intel-openmp: 2018.0.0-hd92c6cd_8
jpeg: 9b-vc14_2 conda-forge [vc14]
libpng: 1.6.34-vc14_0 conda-forge [vc14]
matplotlib: 2.1.0-py36_0 conda-forge
mkl: 2018.0.1-h2108138_4
numpy: 1.13.3-py36ha320f96_0
openssl: 1.0.2m-vc14_0 conda-forge [vc14]
pyparsing: 2.2.0-py36_0 conda-forge
pyqt: 5.6.0-py36_4 conda-forge
pystan: 2.17.0.0-py36_vc14_0 conda-forge [vc14]
python-dateutil: 2.6.1-py36_0 conda-forge
pytz: 2017.3-py_2 conda-forge
qt: 5.6.2-vc14_1 conda-forge [vc14]
sip: 4.18-py36_1 conda-forge
six: 1.11.0-py36_1 conda-forge
tornado: 4.5.2-py36_0 conda-forge
zlib: 1.2.11-vc14_0 conda-forge [vc14]
pip install fbprophet
I also had several issues installing prophet on my Windows 10 machine using conda and Python 3.7.
The following steps made it work:
Create a fresh conda environment
Install pystan and other dependencies using conda install numpy cython matplotlib scipy pandas -c conda-forge (see https://pystan2.readthedocs.io/en/latest/windows.html#steps)
Install prophet using conda install prophet -c conda-forge
In then still had a numpy error Importing the numpy c-extensions failed... as described here: https://numpy.org/devdocs/user/troubleshooting-importerror.html But this was due to my IDE which is VS Code as I could successfully run my prohet model using the command line with the activated conda environment.
So please also make sure to test the installation from the command line in order to rule out that the error stems from you IDE.
Not sure if the same trick would work on Windows, anyways posting w.r.t what just worked on RHEL 7, f.w.i.w
Motivation was installing fbprophet using conda:
conda install -c conda-forge fbprophet
and, it could install pystan==2.17.1.0 and fbprophet==0.6
So, the trick was:
uninstall the pystan package when you had earlier run pip3 install fbprophet, basically one needs to execute the following:
pip3 install pystan==2.17.1.0
pip3 install fbprophet==0.6
And one can thereby import fbprophet in python3 terminal, so working :)
I currently have a fairly vanilla install of Python 3.5 on my Windows 10 machine that I setup using Anaconda.
I was able to install Prophet using the below command, that might work for you. Depending on how your installed Python you may need to run the below command in a cmd shell that was opened as administrator.
pip install prophet
Whenever I have tried to install fbprophet package multiple issues have come.I will suggest a few steps, hopefully they should work.
Close all existing Python / R running instances. If possible restart the machine. I have seen to work as few libraries / dependencies which I want to update might be getting used by existing running instances.
Use anaconda prompt.
First install pystan -
`conda install pystan`
Now install fbprophet
'conda install -c conda-forge fbprophet
Hopefully it should work for you. Also, ensure you have admin rights.
I faced the same issue and my solution was to:-
Create a new environment with Python3.5
conda create -n pht python=3.5 anaconda
Install Prophet using the command.
conda install -c conda-forge fbprophet
I didn't install 'gcc' although this was advised before installing Prophet.