Develop Reference

Using lmfit with miniconda

I downloaded spyder using the standalone installer and have since been using miniconda to install packages that don't already come pre-installed (e.g. astropy, matplotlib etc). The way I've been doing this is using the following block of code in the anaconda prompt and then changing the default environment in Spyder to the one I've set up
conda create -n spyder-env -y
conda activate spyder-env
conda install spyder-kernels MODULE -y
However, when I tried to install lmfit in a similar fashion, the prompt said the lmfit package was not available. I then tried using conda install -c conda-forge lmfit, which seemed to work, but when I tried to change the environment and subsequently restart the kernel, there was an issue matching the kernel to the environment. I was wondering if there was a standard way of installing lmfit using miniconda that allows the package to be imported?
Thanks

The recommended way to install lmfit is pip install lmfit.
I have no idea what is going on with the conda environment running your spyder kernel might be.

How to install Geo Pandas package in Jupyter Notebook in Python ? All solutions do not work

How to install geopandas, I really tried everything and I still has error: ModuleNotFoundError: No module named 'geopandas'. I have the latest version of Python 3.9.6. I use Windows 10, I use Anaconda Prompt, I have only one version of Python.
I do not want to create other environment, I want to install it as any other package, how to do it? I tried:
pip install geopandas
conda install --channel conda-forge geopandas
!conda install geopandas
I checked also this page: https://geopandas.readthedocs.io/en/latest/getting_started/install.html to find solution but I still do not have this package. But package folium was installed correctly by pip install folium.
Help me because I try to do in second day in a row ;/

I will transcribe here the solution I found; all glory goes to Mr. Tanish Gupta, long life to him. Source here :). I hope it helps!
I did this in my win10 PC, I have Anaconda 2.1.4 and only the Python version which comes with it (3.7 I believe). I use Anaconda Prompt, I have only that one version of Python ('cause I had the latest Py ver, but outside Anaconda, and tried this. It worked, but for that 3.10 Python version, not for the Jupyter Py ver, if that makes sense).
To my understanding, probably there is some incompatibility between the libraries installed in the base environment, so we'll be creating a new one.
In the Anaconda command prompt, create a new environment variable:
conda create -n geo_env
Activate this environment “geo_env”, then add and set conda-forge channel:
conda create -n geo_env
conda config --env --add channels conda-forge
conda config --env --set channel_priority strict
Install Geopandas in the environment just created:
conda install geopandas
Next install Jupyter notebook in this environment:
conda install jupyter notebook
Note: If the above command doesn’t work for you, try conda install notebook.
Now add our environment to Jupyter notebook:
python -m ipykernel install --name geo_env
Change to our new environment in the AnacondaNavigator. Enjoy :D
In my case, then I had issues with seaborn and wordcloud in this environment, so I tried installing C++, 'cause it said in the error output, you know, I just wanted more headaches (it didn't work). Finally I installed them in the same way explained before and everything ran smoothly.

If I'm not mistaken you're either having a conflict between channels or you forgot to install geopandas packages when doing it with pip.
First of all, in an anaconda prompt, start by cleaning your environment by removing the packages that got installed by pip.
To do so just pip uninstall geopandas fiona pyproj rtree shapely.
Once you're done with that, run a conda install --channel conda-forge geopandas (normally should work).

Does Anaconda download packages every-time you install them in a new conda environment?

If I make a new conda environment and for example, then use the command
pip install numpy
Considering I have the numpy module installed in the conda base environment, will the above command to install numpy re-download the numpy packages from the internet or just use the ones from the base environment?

How to use egg to install scikit-image?

I am stuck on this installation of scikit-image (aka skimage). I tried multiple ways:
Installation from a git hub folder (using the requirements.txt)
Installation from a whl file
Installation with pip install scikit-image
All three trials failed during the import: import skimage
ImportError: cannot import name 'geometry'
It seems that scikit-image has not been built correctly.
Your install of scikit-image appears to be broken.
Try re-installing the package following the instructions at:
https://scikit-image.org/docs/stable/install.html
I went through internet but did not find solutions besides the ones above.
Does anyone went through that before?
One possibility seems to be to pip install with -egg, but I found that for Mac rather than Windows.
EDIT:
Hi everyone, so I found a solution but this is kind of very hard and I still don't understand why it did not work before.
I just:
uninstall anaconda
uninstall python
install python (3.8)
install Anaconda (I have trouble with Spyder now^^)

If you want to code for computer vision/Image processing/machine learning tasks, then it can be done in pycharm with conda environment very easily. There is no need to install python separately to run Anaconda.
First, download and install pycharm. Next, If you use windows then download Anaconda 64 bit python 3.7 version from here,
https://www.anaconda.com/distribution/#windows
You can find some details about managing environment and helpful links here,
How to create some environments for tensorflow in anaconda?
https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html
Create a conda environment first using Anaconda Prompt command line,
conda create -n cvenv python=3.7
Now activate that environment using. By default base is activated.
conda activate cvenv
Next, install the packages you want,
conda install -c conda-forge scikit-learn
conda install -c conda-forge scikit-image
conda install -c conda-forge pillow
conda install -c conda-forge opencv
I use conda-forge packages as they are more recent. Finally, open pycharm and create a new project by selecting existing python interpreter in conda environment. If none exists then select,
Browse > Add Python Interpreter > Conda Environment > Interpreter > Browse > Anaconda3 installation folder > envs folder > cvenv folder > Python.exe
You can test by creating a python file and writing import skimage.

ImportError: No module named geopandas

I just ran this code and got this error, I'm not sure why:
%matplotlib inline
​
import seaborn as sns
import pandas as pd
import pysal as ps
import geopandas as gpd
import numpy as np
import matplotlib.pyplot as pet
ImportError: No module named geopandas

Check if geopandas is installed
>>> import sys
>>> 'geopandas' in sys.modules
False => Not Installed
>>>
To install the released version, you can use pip:
pip install geopandas
or you can install the conda package from the conda-forge channel:
conda install -c conda-forge geopandas
You may install the latest development version by cloning the GitHub repository and using the setup script:
git clone https://github.com/geopandas/geopandas.git
cd geopandas
pip install .
It is also possible to install the latest development version directly from the GitHub repository with:
pip install git+git://github.com/geopandas/geopandas.git
Linux?
sudo apt-get install python-geopandas

You might encounter this problem even if geopandas is correctly installed in your active environment. Your problem might be related to ipython not being installed in the environment you installed geopandas in. In this case ipython from outside of the environment is used and will find no module named geopandas resulting in a ImportError.
Assuming a Linux OS:
You can check which ipython is used with where ipython.
You can install ìpython in your active environment by executing conda install ipython.

If using Jupyter notebook with conda use:
conda install -c conda-forge geopandas

If you have any trouble installing GeoPandas, just follow the below steps:
⦁ Go to Unofficial Windows Binaries for Python Extension Packages. (https://www.lfd.uci.edu/~gohlke/pythonlibs/)
⦁ Download the following binaries in a specifi folder in your laptop/PC:
GDAL,
Pyproj,
Fiona,
Shapely &
Geopandas
matching the version of Python, and whether the 32-bit or 64-bit OS is installed on your laptop.
(E.g. for Python v3.8x (64-bit), GDAL package should be GDAL-3.3.2-cp38-cp38-win_amd64.whl)
Go to the folder where the binaries are downloaded in the command prompt window. (C:\Users\abc\GeoPandas dependencies)
Order of execution of the following commands matter.
pip install .\GDAL-3.3.2-cp38-cp38-win_amd64.whl
pip install .\pyproj-3.2.0-cp38-cp38-win_amd64.whl
pip install .\Fiona-1.8.20-cp38-cp38-win_amd64.whl
pip install .\Shapely-1.7.1-cp38-cp38-win_amd64.whl
pip install .\geopandas-0.9.0-py3-none-any.whl
Credit

As mentioned by #marianoju, the problem is likely because you do not have IPython installed in your current environment.
The simple solution is to install IPython in your current environment.
conda install ipython
An even better solution (in my opinion) is to install Jupyter notebook, Jupyter lab in your new conda environment.
conda install jupyter
conda install jupyterlab
This will install jupyter(lab) along with its all dependencies (and that includes IPython). So, any other lurking dependency issues would have been solved in one command.