This error raised while installing geopandas. I've looking for its solution on the web, but none of them really explain what happened and how to solve it..
This is the full error:
Collecting geopandas
Using cached https://files.pythonhosted.org/packages/24/11/d77c157c16909bd77557d00798b05a5b6615ed60acb5900fbe6a65d35e93/geopandas-0.4.0-py2.py3-none-any.whl
Requirement already satisfied: shapely in c:\users\alvaro\anaconda3\envs\tfdeeplearning\lib\site-packages (from geopandas) (1.6.4.post2)
Requirement already satisfied: pandas in c:\users\alvaro\anaconda3\envs\tfdeeplearning\lib\site-packages (from geopandas) (0.20.3)
Collecting fiona (from geopandas)
Using cached https://files.pythonhosted.org/packages/3a/16/84960540e9fce61d767fd2f0f1d95f4c63e99ab5d8fddc308e8b51b059b8/Fiona-1.8.4.tar.gz
Complete output from command python setup.py egg_info:
A GDAL API version must be specified. Provide a path to gdal-config using a GDAL_CONFIG environment variable or use a GDAL_VERSION environment variable.
----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in C:\Users\Alvaro\AppData\Local\Temp\pip-install-oxgkjg8l\fiona\
pip install wheel
pip install pipwin
pipwin install numpy
pipwin install pandas
pipwin install shapely
pipwin install gdal
pipwin install fiona
pipwin install pyproj
pipwin install six
pipwin install rtree
pipwin install geopandas
here are the source links:
http://geopandas.org/install.html#installation
https://pip.pypa.io/en/latest/user_guide/#installing-from-wheels
https://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy
If you still have problems, consider uninstalling the above (pip uninstall) and reinstalling.
I solved this problem by running the following commands:
pip install pipwin
pipwin install gdal
pipwin install fiona
pip install geopandas
Works successfully on Windows.
Geospatial Data Abstraction Library (GDAL) is a library designed for vector geospatial data formats. It's a prerequisite for installing Fiona, the Python API for OGR (which doesn't really stand for anything), which is in turn a prerequisite for Geopandas. On UNIX-like systems the gdal-config script tells Fiona stuff about your particular gdal installation.
It seems that your gdal-config is not in one of the usual places on your PATH, so Fiona was unable to find it.
If you're using Anaconda, best is to remove gdal with conda remove gdal and then do a fresh conda install geopandas.
As a general rule, if you're using Conda you should never use pip to install something inside it unless you're absolutely sure conda offers no support for it. (Many package can be found on conda by specifying the right channel - -c argument.) And specifically in the case of geopandas, the maintainers recommend using conda over pip, since pip requires you to install the dependencies correctly.
I had a lot of issues myself installing geopandas, mostly showing error when downloading fiona and gdal. I did every step above and did a conda install geopandas but failed. The only thing worked for me is to install fiona and gdal wheel separately.
go to the link by Christoph: gohlke:https://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona
You can search for fiona and gdal wheel files. Make sure you choose the file as per your python version, if it is 3.7 then there would be cp37.
Download the file
go to command prompt, put cd and then pip install , install GDAL wheel file, then fiona, then just do pip install geopandas.
This solution worked for me.
To install gdal, I followed the following steps:
downloaded the version that satisfies my computer (64 bit) from
https://www.lfd.uci.edu/~gohlke/pythonlibs/ . The file was GDAL-3.1.4-cp37-cp37m-win_amd64.whl
Put the file in a folder on the desktop.
From cmd, i moved to that directory and executed python -m pip install GDAL-3.1.4-cp37-cp37m-win_amd64.whl
This is followed by installing fiona the same way: python -m pip install Fiona-1.8.18-cp37-cp37m-win_amd64.whl
For shapely, i executed conda install -c conda-forge shapely
After that, i was able to install keplergl as usual: pip install keplergl
install descartes: conda install -c conda-forge descartes (or python -m pip install descartes).
In this way, i didn't have to play around with the 'Environmental Variables' as this may affect other programs
Cheers..
Installing geopandas
Geopandas has very complex multi-language dependencies, some of which need to be built with consistent compiler versions across packages. Because of this, the geopandas docs recommend installing using conda in a new environment using conda-forge only. Here are some general best practices to keep in mind:
conda is the recommended installation method. You can install geopandas from pip or source, but it's going to be a bumpy ride and it's not recommended. If you're installing conda for the first time, I recommend you start with miniconda (or better yet miniforge, a conda-forge-first miniconda variant), not anaconda, to keep your base env lean.
When using conda, you should not mix and match conda channels.
When installing geopandas, try creating a fresh environment rather than installing into your base environment. If you have anaconda installed, it comes with a large number of packages from the "defaults" channel installed in your base environment. I recommend deleting anaconda and installing miniconda, then installing into a new environment.
Try to create a new environment with everything you plan to use all at once rather than iteratively modifying the environment. In other words, if you want to use geopandas with scikit_learn, folium, and rasterio, install them together with a single conda create command
As a last resort, delete your conda installation and re-install miniconda. Desperate times call for desperate measures, and this usually resolves gnarly installation nightmares.
To create a fresh conda environment in which you install all necessary dependencies at the same time, using the conda-forge channel:
conda create -n my-geopandas-env -c conda-forge geopandas [all other packages you need]
For example, I might set up an environment with something along the lines of...
conda create -n my-geopandas-env -c conda-forge python=3.9 \
ipython ipykernel geopandas scipy seaborn fiona matplotlib cartopy
Bundling your installations into a single environment creation step like this reduces the chance of packages falling out of sync. To speed this process up, you could first install mamba or mambaforge, a faster drop-in replacement for conda, into your base environment and then run the above commands with mamba instead of conda.
Generally, it's best to avoid installing much of anything in your base environment (cross-environment system utilities like mamba are some of the few exceptions). If you already have a complex base environment (maybe you started with anaconda rather than miniconda) this may be the time to delete your entire conda installation and start from scratch (I know that's terrifying... sorry! but it'll save you heartache in the future). mamba is great for speeding this process up.
Connecting your editor to the conda environment
Once you have installed all of the packages you need, activate your environment with conda activate my-geopandas-env. See the conda guide to managing environments for more info.
Jupyter/ipython
Some editors/IDEs including jupyter require additional packages - jupyter requires that ipython and ipykernel be installed in order to load the environment within the notebook or editor - that's why I included ipykernel in my list above. See the ipykernel docs for more info.
Other IDES
To link this environment to an IDE such as VSCODE, spider, etc., find the location of this python version with conda run -n my-geopandas-env which python then point your editor to this python executable. Check the docs of your specific editor to get more targeted info about how to set up a conda environment for use with your editor:
Spider: FAQ on using an existing environment and Spider wiki guide to working with packages and environments
VSCode: Using python environments in vscode
PyCharm: Configure a conda virtual environment
I don't have conda installed, then using just pip I followed these steps:
Download GDAL and Fiona wheels directly on:
GDAL: https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal
FIONA: https://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona
Then:
pip install <gdal.whl>
pip install <fiona.whl>
In my case I did pip install GDAL-3.4.1-cp38-cp38-win_amd64.whl and Fiona-1.8.21-cp38-cp38-win_amd64.whl. Where cp38 stands for python 3.8.
After that you are able to install geopandas with pip as well.
pip install geo pandas
For me, the only solution was to install the ready binaries from here
https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal
Then just install locally
pip install GDAL-3.1.4-cp38-cp38-win_amd64.whl
One way in which I could install geopandas was through the Anaconda Navigator. Get into the environment and install the package 'geopandas'. After that I could import the geopandas package in spyder
I will add
!pip install descartes
to #JDOaktown list.
I started with pip install geopandas and got the error, but later tried with conda install --channel conda-forge geopandas and the error disappeared.
Successfully installed in RHEL 7.8.
It automatically downloaded the required packages. This might be helpful
Installing collected packages: certifi, pyproj, shapely, attrs, click, click-plugins, munch, cligj, fiona, geopandas
Successfully installed attrs-20.3.0 certifi-2020.11.8 click-7.1.2 click-plugins-1.1.1 cligj-0.7.0 fiona-1.8.17 geopandas-0.8.1 munch-2.5.0 pyproj-3.0.0.post1 shapely-1.7.1
If you want to install GDAL, Geopandas, Shapely, Fiona etc in a windows Virtual Environment download .whl files for all of them and first install GDAL using
pip install gdal-.whl
Following this command edit the activate.bat file in you venv\Scripts folder and add
GDAL_CONFIG = \venv\Lib\site-packages\osgeo
Then you can install rest using pip install
I started off with a clean environment gdal_test in Conda environments, but made the mistake of using the old activate gdal_test instead of conda activate gdal_test. This made Conda Environment resolving take forever, which is why I resolved to other methods at first.
Takeaway: let conda handle it, with a proper new environment.
I ran into this problem not with anaconda/windows, but with python:3.6 Docker image. Google search always led me to this question, so I think I will share how I resolve my issue in case others also end up here.
Based on here, you need to install system relevant packages in the Dockerfile before running pip install geopandas or pip install requirements.txt:
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
libatlas-base-dev \
libgdal-dev \
gfortran
The following worked on macOS:
brew install gdal --HEAD
Verify the installation by running gdal-config --version
Following that pip installation as normal worked without a problem.
I am on a new Mac M1 trying to install mediapipe and TensorFlow on the same Conda env. Installing both libraries on M1 appear to have a lot of issues. I was finally able to get TensorFlow to install using this tutorial:
https://betterprogramming.pub/installing-tensorflow-on-apple-m1-with-new-metal-plugin-6d3cb9cb00ca
This tutorial requires the Miniforge3 package manager and python 3.9.
I created a Conda env using miniforge3 and TensorFlow works great now.
Now when I try to install mediapipe into this env, with either of these commands:
pip install mediapipe
or
~/miniforge3/envs/vision/bin/pip install mediapipe
I get this error:
ERROR: Could not find a version that satisfies the requirement mediapipe (from versions: none)
ERROR: No matching distribution found for mediapipe
I've done some looking and found that mediapipe has issues with python >3.7.
I tried downgrading python using this command:
conda install python=3.x
I was able to downgrade to 3.8, but no lower. Python 3.6 and 3.7 were not found by Conda:
(base) % conda install python=3.7
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
- python=3.7
Current channels:
- https://conda.anaconda.org/conda-forge/osx-arm64
- https://conda.anaconda.org/conda-forge/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
What should I do? I need to use both mediapipe and TensorFlow.
First of all, you have to set up your python environment first before considering how to install mediapipe.
I got similar issue once I got my new M1 laptop, and finally resolved by emulating x86_64 Python architecture with command:
CONDA_SUBDIR=osx-64 conda create -n Env37 python=3.7
Once you have done that, you could activate this Python 3.7 environment with command:
source activate Env37
Then run pip install mediapipe to install this specific python package.
My solution was also to create a conda environment with Python 3.7 and x86_64 architecture. Python 3.7 is required for Mediapipe to work with TensorFlow (https://google.github.io/mediapipe/getting_started/install.html).
Follow this tutorial for installing tensorflow on M1 (https://towardsdatascience.com/installing-tensorflow-on-the-m1-mac-410bb36b776) up to point 3.
For point 4, download the environment.yml file with tensorflow dependencies (https://raw.githubusercontent.com/mwidjaja1/DSOnMacARM/main/environment.yml), but modify the line ‘python=3.8’ to ‘python=3.7’. Then create the conda environment using x86_64 architecture:
CONDA_SUBDIR=osx-64 conda env create --file=environment.yml --name my_env
Activate the environment
conda activate my_env
Install the mediapipe package, and other packages like opencv.
pip install mediapipe
pip install opencv-python
Check that all packages are installed.
Python
>>> import tensorflow
>>> import mediapipe
>>> import cv2
I'm using requirements.txt to manage my python dependency:
six
tqdm
future
numpy
brine
scipy
matplotlib
# birdseye
shapely
git+https://github.com/tribbloid/jupyerlab-desktop.git#subdirectory=python
jupytext
# pyre-check
# deprecated
torch >= 1.2.0
# tensorboard
# opencv >= 4.0.0
# prototypes
git+https://github.com/pytorch/vision.git#v0.4.0#egg=torchvision
tb-nightly
My environment is a conda env on python 3.7. I was trying to use a few command to install these packages, but when I run:
conda install --file requirements.txt
I got the following error message:
$ conda install --file ./requirements.txt
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
- tb-nightly
- //github.com/tribbloid/jupyerlab-desktop.git
- torch[version='>=1.2.0']
- //github.com/pytorch/vision.git#v0.4.0
- brine
Current channels:
- https://conda.anaconda.org/conda-forge/linux-64
- https://conda.anaconda.org/conda-forge/noarch
- https://repo.anaconda.com/pkgs/main/linux-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/r/linux-64
- https://repo.anaconda.com/pkgs/r/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
It appears that conda refuse to install any of them simply because it can't find 3 packages! (they are on PyPI) What's the point of this design and what should I do to fix it?
My end goal is to use conda if possible, and fallback to pip if they are only on PyPI, the entire process should be reproducible and fully automated.
You can delete offending packages from requirements.txt, run conda on the new .txt, then install non-installed packages via pip into your Anaconda/pkgs (or move them there manually post-install). Then, run conda update --all to ensure compatibility.
Worked for me for a similar instance.
This works on Linux. Just install via pip in your conda environment, it won't complain about not finding the packages like conda.
Run pip install -r requirements.txt. This will install the packages in your conda environment plus all their dependencies.
Make sure to activate your environment and that you are running this command in the directory where your requirements.txt is i.e in terminal cd to wherever requirements.txt is.
I thought to try only after installing keras and tensorflow via pip so I can't say 100% that it would've worked for those as well, but everything else in my req file (+50 modules) installed with this command on Win11 in Anaconda Powershell while in the active environment.
conda install -c conda-forge --file requirements.txt
I still don't know why I needed to do this. Also, I tried another req file that I didn't have a problem with weeks prior. It also failed as the OP states. I don't know what I may have done (not done) to cause this. Perhaps missing a conda update or server down.
I want to install a package (of python) using conda, but says not available in repo.anaconda.com/......., how could I install it ?
The specific package that I tried to install is edx-dl (link of the github repo) using the code conda install edx-dl. This code works fine with pip but not with conda.
For example, in pip if I type pip install edx-dl was able to install the package when I was using python base without anaconda. But now with conda it says it is not available in anaconda repo. So if a package that are not available in anaconda, can be installed?
So to generalize, is there any way to download and install packages of python using conda which are not available in repo.anaconda.com?
Note that, I do not use base python, rather currently using anaconda. So, can't use pip to install that package.
Thanks!
Error message that I got:
(base) C:\WINDOWS\system32>conda install edx-dl
WARNING conda.base.context:use_only_tar_bz2(632): Conda is constrained to only using the old .tar.bz2 file format because you have conda-build installed, and it is <3.18.3. Update or remove conda-build to get smaller downloads and faster extractions.
Collecting package metadata (repodata.json): done
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
edx-dl
Current channels:
https://repo.anaconda.com/pkgs/main/win-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/win-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/msys2/win-64
https://repo.anaconda.com/pkgs/msys2/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
in terminal type:
conda activate <env_name>
then:
pip install edx-dl
will work on conda env this library
Thanks #Kasper for your answer. Following your answer, I was able to solve the problem. Here I give the complete procedure for anyone who is new.
Step 1: Open "Anaconda Prompt". (I opened as "Run as Administrator" to avoid any problem in installation.)
Step 2: type conda info --envs to cheek your available environments.
one environment for sure you should have is base & another one
Classes_and_Inheritance also should appear.
I had PyCharm installed, so with that I had to open some projects. So, I had some additional environments too.
Step 3: type conda activate <environment_name>
this environment_name should be substituted by your preferred environment
(i.e. base, Classes_and_Inheritance or any other environment
that you have created. )
In my case, I used conda activate PyCharm_Proj, but if you want, you can use this conda activate base
Step 4: type pip install <package_name>. The package_name should be substituted by the name of the package name you want to install. (i.e. in my case I typed pip install edx-dl)
I used pip to install the Resource module to the default conda environment on my laptop: (C:\Users\my_username\Anaconda2). I think it is called root. I installed pip to the conda environment and so I'm 90% sure the resource was installed within the environment. And indeed running conda list shows that the package is listed within the environment. Here is a section of the output:
# packages in environment at C:\Users\conna\Anaconda2:
#
qtpy 1.2.1 py27_0
requests 2.14.2 py27_0
Resource 0.2.0 <pip>
rope 0.9.4 py27_1
ruamel_yaml 0.11.14 py27_1
scandir 1.5 py27_0
scikit-image 0.13.0 np112py27_0
However when I run
conda update Resource
I get the following error:
PackageNotInstalledError: Package is not installed in prefix.
prefix: C:\Users\conna\Anaconda2
package name: Resource
How is it possible that conda list shows the module is present but conda update can't see them? I also noticed that conda update doesn't recognize any packages with <pip>. What is happening?
conda only manages the packages that are installed using a conda command. If you installed a package with pip (or using python setup.py install or develop) it will show up with conda list (because that shows all packages no matter how they were installed) but conda won't manage that package. Simply because it doesn't know how!
So if you installed a package with pip you also need to upgrade/update it with pip:
pip install [package_name] --upgrade
Try this;
pip install Resource --upgrade