I downloaded osmnx via conda using the code:
conda config --prepend channels conda-forge
conda create -n ox --strict-channel-priority osmnx
This comes from the osmnx documentation: https://osmnx.readthedocs.io/en/stable/
I can see the module has downloaded because in the Anaconda Prompt I can type conda activate oxand it works. However when I go into my jupyter notebook and type
import osmnx as ox
I get the following error:
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-11-7e05e48535cd> in <module>
----> 1 import osmnx as ox
2
3
ModuleNotFoundError: No module named 'osmnx'
Please advise as to what I can do. Thanks
In your terminal, run:
conda config --prepend channels conda-forge
conda create -n ox --strict-channel-priority osmnx jupyterlab
conda activate ox
python -m ipykernel install --user --name ox --display-name "Python (ox)"
jupyter lab
This installs OSMnx and JupyterLab into a conda environment called ox, activates the environment, installs an ipython kernel in the environment, then launches JupyterLab.
See also
Conda environments not showing up in Jupyter Notebook
Conda environments not showing up in Jupyter Notebook
How to use Jupyter notebooks in a conda environment?
How to add conda environment to jupyter lab
Link Conda environment with Jupyter Notebook
In which conda environment is Jupyter executing?
Related
How to install rdkit library in my jupyter notebook. I am using Anaconda environment.
Inside the anaconda environment, just run conda install -c conda-forge rdkit
You can find detailed installation instructions here.
I am using MacOS and try to use Stata in the jupyter notebook. I went over the following step to do so.
First, in the terminal:
pip install stata_kernel
python -m stata_kernel.install
conda install -c conda-forge nodejs -y
jupyter labextension install jupyterlab-stata-highlight
pip install ipystata
And then in my jupyter notebook:
import ipystata
from ipystata.config import config_stata
config_stata('/Macintosh HD/Applications/Stata/StataSE')
import ipystata
%%stata
display "Hello, I am printed in Stata."
But I keep getting the error message
UsageError: Line magic function %%stata not found.
I am not sure if this is path problem or something else.
Could you help me to fix the problem?
Trying to get OSMnx into jupyter conda environment.
But conda environment not set correctly.
On command line:
Created conda environment using OSMnx installation steps
I cloned the environment to rename it 'realestate'
Added realestate to Jupyter:
> conda activate realestate
> conda install -c anaconda ipykernel
> python -m ipykernel install --user --name=realestate
> which python
/opt/anaconda3/envs/realestate/bin/python
On Jupyter the realestate environment shows up... but when I run
!which python
I get
/opt/anaconda3/bin/python
I've created some conda environments inside of Jupyter(Conda) and they show up as
Python [conda env: otherenv]
that then produces right path
!which python
/opt/anaconda3/envs/otherenv/bin/python
What am I missing?
PS. OSMnx install is not a simple conda install
conda config --prepend channels conda-forge
conda create -n ox --strict-channel-priority osmnx
From what I can tell, it sounds like you're trying to have OSMnx, Jupyter, and all the packages in the anaconda metapackage installed together in a single conda environment. If so, just create the conda environment with all those packages in one line, then install the ipython kernelspec in it:
conda config --prepend channels conda-forge
conda create -n realestate --strict-channel-priority osmnx anaconda jupyter
conda activate realestate
python -m ipykernel install --sys-prefix --name realestate --display-name "Python (realestate)"
jupyter kernelspec list
I followed the installation of the xeus-cling (created an env, activated,installed xeus-cling there) and when I want to select the C++14 kernel in a jupyter notebook it only appears Python3. What am I doing wrong?
I had the same problem. Its because jupyter-notebook is not installed in your environment. The jupyter server which is starting is the global one hence you don't see the c++14 option. The solution is:
Create a new directory and git clone the repository.
Run the conda env create -f environmental.yml command in cmd.
Run the conda activate xeus-cling command.
Run the jupyter notebook command.
You should now be able to see the c++14 and c++17 options. Step 2 created the xeus-cling environment and installs all the correct package versions including the correct jupyter notebook version.
Install notebook in your environment.
conda install xeus-cling notebook -c QuantStack -c conda-forge
You need register new kernels in jupyter:
jupyter kernelspec install PREFIX/share/jupyter/xcpp11 --sys-prefix
jupyter kernelspec install PREFIX/share/jupyter/xcpp14 --sys-prefix
jupyter kernelspec install PREFIX/share/jupyter/xcpp17 --sys-prefix
I am not able to link Jupyter kernels to their parent Conda environments. After creating a new kernel linked to Conda environment, I'm getting a different version of Python and its dependencies inside Jupyter lab.
Here are the steps I followed:
Created a conda environment using:
conda create -n nlp python=3.6
conda activate nlp
(nlp) ➜ ~ python --version
Python 3.6.9 :: Anaconda, Inc.
(nlp) ➜ ~ which python
/anaconda3/envs/nlp/bin/python
Inside the environment I created a Jupyter kernel with:
(nlp) ➜ ~ python -m ipykernel install --user --name=nlp
Installed kernelspec nlp in /Users//Library/Jupyter/kernels/nlp
Investigating the created json file for the kernel:
(nlp) ➜ ~ cat /Users/<username>/Library/Jupyter/kernels/nlp/kernel.json
{
"argv": [
"/anaconda3/envs/nlp/bin/python",
"-m",
"ipykernel_launcher",
"-f",
"{connection_file}"
],
"display_name": "nlp",
"language": "python"
}%
It seems to be pointing to the environment version of Python
But when I start Jupyter Lab and select the nlp kernel, I get a different version of Python and some dependencies are missing
!python --version
Python 3.5.6 :: Anaconda, Inc.
!which python
/anaconda3/bin/python
Could you please try the following steps:
conda activate nlp
conda install ipykernel
ipython kernel install --name nlp --user
After these steps please try changing the kernel again in jupyter lab to "nlp".
Thanks.
this behavior is actually normal in Jupyter lab.
If you run
import sys
print(sys.version)
!python --version
in a notebook, the print statement will give you the Python version of the conda env, while the second will give you the Python version of your base env.
The easiest workaround for this is to simply pip install jupyterlab in your conda env and then run jupyter lab in your conda env. Then, there will not be a mismatch in Python versions between the new "base" env and the conda env which will help clear up any DLL problems.
It's probably not best practice, but you do what you gotta do when working with legacy code, ig.
Can you try this :
# in base env
conda install nb_conda_kernels
conda activate nlp
conda install ipykernel
conda install ipywidgets
# install kernelspec
python -m ipykernel install --user --name nlp --display-name "nlp env"
When you run jupyter notebook, you will see 2 nlp kernels. Use the one with "Python [conda:env:nlp]"