Develop Reference

ModuleNotFoundError: No module named 'geopandas' [duplicate]

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.

Installing a repo not in PyPI

This is my first time trying to install a repo not in PyPI. I'm not sure if I'm having a general issue or a specific issue with the package.
Repo:
https://github.com/jeslago/epftoolbox
Instructions are:
git clone https://github.com/jeslago/epftoolbox.git
cd epftoolbox
Then, simply install the library using pip:
pip install .
I've tried several approaches.
I tried adding the repo in Pycharm, as "https://github.com/jeslago/epftoolbox.git/" in the settings.
I tried using pip install from a local version of the repo
python -m pip install C:\Users\user\epftoolbox\
I tried installing in anaconda
git clone https://github.com/jeslago/epftoolbox.git
cd epftoolbox
pip install .
I get this error
Successfully built epftoolbox termcolor
ERROR: tensorflow 2.3.0 has requirement scipy==1.4.1, but you'll have scipy 1.5.2 which is incompatible.
But it finishes with "Successfully installed epftoolbox-1.0"
The issue is that I can do "import epftoolbox"
Fine. But if I try and run a script with "from epftoolbox.data import read_data"
I get the error
ModuleNotFoundError: No module named 'epftoolbox.data'
So I take it that the package didn't actually install?
I'm not sure what to try next?
I've python 3.8.5 installed 64 bit.
I've get the same issue in pycharm and idle.

Probably you need to install specific version of scipy to work with this library, try to uninstall current version and then install the correct version with this commands:
python -m uninstall scipy
python -m install -Iv scipy==1.4.1

Keep getting the "Command "python setup.py egg_info" failed with error code 1" [duplicate]

I'm trying to install some packages with pip.
But pip install unroll gives me
Command "python setup.py egg_info" failed with error code 1 in
C:\Users\MARKAN~1\AppData\Local\Temp\pip-build-wa7uco0k\unroll\
How can I solve this?

About the error code
According to the Python documentation:
This module makes available standard errno system symbols. The value of each symbol is the corresponding integer value. The names and descriptions are borrowed from linux/include/errno.h, which should be pretty all-inclusive.
Error code 1 is defined in errno.h and means Operation not permitted.
About your error
Your setuptools do not appear to be installed. Just follow the Installation Instructions from the PyPI website.
If it's already installed, try
pip install --upgrade setuptools
If it's already up to date, check that the module ez_setup is not missing. If it is, then
pip install ez_setup
Then try again
pip install unroll
If it's still not working, maybe pip didn't install/upgrade setup_tools properly so you might want to try
easy_install -U setuptools
And again
pip install unroll

Here's a little guide explaining a little bit how I usually install new packages on Python + Windows. It seems you're using Windows paths, so this answer will stick to that particular SO:
I never use a system-wide Python installation. I only use virtualenvs, and usually I try to have the latest version of 2.x & 3.x.
My first attempt is always doing pip install package_i_want in some of my Visual Studio command prompts. What Visual Studio command prompt? Well, ideally the Visual Studio which matches the one which was used to build Python. For instance, let's say your Python installation says Python 2.7.11 (v2.7.11:6d1b6a68f775, Dec 5 2015, 20:40:30) [MSC v.1500 64 bit (AMD64)] on win32. The version of Visual Studio used to compile Python can be found here, so v1500 means I'd be using vs2008 x64 command prompt
If the previous step failed for some reason I just try using easy_install package_i_want
If the previous step failed for some reason I go to gohlke website and I check whether my package is available over there. If it's so, I'm lucky, I just download it into my virtualenv and then I just go to that location using a command prompt and I do pip install package_i_want.whl
If the previous step didn't succeed I'll just try to build the wheel myself and once it's generated I'll try to install it with pip install package_i_want.whl
Now, if we focus in your specific problem, where you're having a hard time installing the unroll package. It seems the fastest way to install it is doing something like this:
git clone https://github.com/Zulko/unroll
cd unroll && python setup.py bdist_wheel
Copy the generated unroll-0.1.0-py2-none-any.whl file from the created dist folder into your virtualenv.
pip install unroll-0.1.0-py2-none-any.whl
That way it will install without any problems. To check it really works, just login into the Python installation and try import unroll, it shouldn't complain.
One last note: This method works almost 99% of the time, and sometimes you'll find some pip packages which are specific to Unix or Mac OS X, in that case, when that happens I'm afraid the best way to get a Windows version is either posting some issues to the main developers or having some fun by yourself porting to Windows (typically a few hours if you're not lucky) :)

It was resolved after upgrading pip:
python -m pip install --upgrade pip
pip install "package-name"

I got stuck exactly with the same error with psycopg2. It looks like I skipped a few steps while installing Python and related packages.
sudo apt-get install python-dev libpq-dev
Go to your virtual env
pip install psycopg2
(In your case you need to replace psycopg2 with the package you have an issue with.)
It worked seamlessly.

I got this same error while installing mitmproxy using pip3. The below command fixed this:
pip3 install --upgrade setuptools

Download and install the Microsoft Visual C++ Compiler for Python 2.7 from https://www.microsoft.com/en-in/download/details.aspx?id=44266 - this package contains the compiler and set of system headers necessary for producing binary wheels for Python 2.7 packages.
Open a command prompt in elevated mode (run as administrator)
Firstly do pip install ez_setup
Then do pip install unroll (It will start installing numpy, music21, decorator, imageio, tqdm, moviepy, unroll) # Please be patient for music21 installation
Python 2.7.11 64 bit used

Other way:
sudo apt-get install python-psycopg2 python-mysqldb

I had the same issue when installing the "Twisted" library and solved it by running the following command on Ubuntu 16.04 (Xenial Xerus):
sudo apt-get install python-setuptools python-dev build-essential

It's a dependency issue.
I tried running the following commands helped me sorting out the dependencies, in my case the dependency was
grpcio
pip3 install --upgrade pip
python3 -m pip install --upgrade setuptools
pip3 install --no-cache-dir --force-reinstall -Iv grpcio==1.36.1
pip3 install pulsar-client==2.7.0
remember you must have python3 installed in your system.

First try:
pip install unroll
For sure not work :)
Then Try:
pip2 install unroll
Still get error Try:
pip3 install unroll
If pip3 Worked then suggest to change configuration to use pip3 as pip because you will get a lot of issues as the modern now is Python3 = pip3 if you execute a script files.

I had the same problem.
The problem was:
pyparsing 2.2 was already installed and my requirements.txt was trying to install pyparsing 2.0.1 which throw this error
Context: I was using virtualenv, and it seems the 2.2 came from my global OS Python site-packages, but even with --no-site-packages flag (now by default in last virtualenv) the 2.2 was still present. Surely because I installed Python from their website and it added Python libraries to my $PATH.
Maybe a pip install --ignore-installed would have worked.
Solution: as I needed to move forwards, I just removed the pyparsing==2.0.1 from my requirements.txt.

I ran into the same error code when trying to install a Python module with pip.
#Hackndo noted that the documentation indicate a security issue.
Based on that answer, my problem was solved by running the pip install command with sudo prefixed:
sudo pip install python-mpd2

For me this worked
python3 -m pip3 install -U pip
you can also try
python -m pip install -U pip

pip3 install --upgrade setuptools
WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip.
Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue.
To avoid this problem you can invoke Python with -m pip instead of running pip directly.
Use python3 -m pip "command", eg:
python3 -m pip install --user pyqt5

I tried all of the above with no success. I then updated my Python version from 2.7.10 to 2.7.13, and it resolved the problems that I was experiencing.

That means some packages in pip are old or not correctly installed.
Try checking version and then upgrading pip.Use auto remove if that works.
If the pip command shows an error all the time for any command or it freezes, etc.
The best solution is to uninstall it or remove it completely.
Install a fresh pip and then update and upgrade your system.
I have given a solution to installing pip fresh here - python: can't open file get-pip.py error 2] no such file or directory

next installation helps me:
pip3 install cython

This worked for me:
sudo xcodebuild -license

Upgrading Python to version 3 fixed my problem. Nothing else did.

I downloaded the .whl file from http://www.lfd.uci.edu/~gohlke/pythonlibs/ and then did:
pip install scipy-0.19.1-cp27-cp27m-win32.whl
Note that the version you need to use (win32/win_amd-64) depends on the version of Python and not that of Windows.

I had this problem using virtualenvs (with pipenv) on my new development setup.
I could only solve it by upgrading the psycopg2 version from 2.6.2 to 2.7.3.
More information is at https://github.com/psycopg/psycopg2/issues/594

I faced the same problem with the same error message but on Ubuntu 16.04 LTS (Xenial Xerus) instead:
Command "python setup.py egg_info" failed with error code 1 in /tmp/pip-install-w71uo1rg/poster/
I tested all the solutions provided above and none of them worked for me. I read the full TraceBack and found out I had to create the virtual environment with Python version 2.7 instead (the default one uses Python 3.5 instead):
virtualenv --python=/usr/bin/python2.7 my_venv
Once I activated it, I run pip install unirest successfully.

try on linux:
sudo apt install python-pip python-bluez libbluetooth-dev libboost-python-dev libboost-thread-dev libglib2.0-dev bluez bluez-hcidump

Had the same problem on my Win10 PC with different packages and tried everything mentioned so far.
Finally solved it by disabling Comodo Auto-Containment.
Since nobody has mentioned it yet, I hope it helps someone.

I had the same problem and was able to fix by doing the following.
Windows Python needs Visual C++ libraries installed via the SDK to build code, such as via setuptools.extension.Extension or numpy.distutils.core.Extension. For example, building f2py modules in Windows with Python requires Visual C++ SDK as installed above. On Linux and Mac, the C++ libraries are installed with the compiler.
https://www.scivision.co/python-windows-visual-c++-14-required/

Following below command worked for me
[root#sandbox ~]# pip install google-api-python-client==1.6.4

Methods to solve setup.pu egg_info issue when updating setuptools or not other methods doesnot works.
If CONDA version of the library is available to install use conda instead of pip.
Clone the library repo and then try installation by pip install -e . or by python setup.py install

upgrading python's version did the work for me.

I have just encountered the same problem when trying to pip install -e . a new repo. I did not notice that the contents of setup.py haven't been saved properly and I was effectively running the command with an empty setup.py.
Hence you may experience the same error message if the setup.py of the target package is either empty or malformed.

I solved it on Centos 7 by using:
sudo yum install libcurl-devel

install Pyaudio - whl

I tried to install PyAudio on Windows 7 64bit.
Installing it with pip throws dependency errors which end up in the question how to satisfy those.
So i tried to install it with wheel, the suggestion was to just use pip install:
D:\Programming\Kivy>dir
...
27.03.2015 08:11 113.556 PyAudio.whl
D:\Programming\Kivy>pip install PyAudio.whl
Downloading/unpacking PyAudio.whl
Could not find any downloads that satisfy the requirement PyAudio.whl
No distributions at all found for PyAudio.whl
Storing complete log in C:\Users\WindowsPro\AppData\Roaming\pip\pip.log
Any suggestion how to install pyaudio?

What version of pip do you have? Show the output pip -V. It might be necessary to have a current pip version 6 to install the whl. If this is not the case do pip install --upgrade pip (it might be necessary to start the console with admin rights).
Did you download the library from http://www.lfd.uci.edu/~gohlke/pythonlibs/#pyaudio? I just installed this version with pip and it works.
As an alternative you can download the installer exe from http://people.csail.mit.edu/hubert/pyaudio/#downloads and install it like a regular program.

If you cant donwload it by pip install pyaudio you can download it from here.
When you found PyAudio, find the version of your Python (ex. 3.7.2 32bit).
DOWNLOAD THE RIGHT VERSION. Once you found the .whl of your python version, download it. Install it by opening cmd, going to the folder that you save it and write pip install "pyaudio_whl_file.whl"
And that's it

easy_install and pip giving errors when trying to install numpy

I am running Python 2.7.2 on my machine. I am trying to install numpy with easy_install and pip, but none of them are able to do so. So, when I try:
sudo easy_install-2.7 numpy
I get this 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."
Moreover, when I try with pip:
sudo pip-2.7 install numpy
I get this error:
RuntimeError: Broken toolchain: cannot link a simple C program
Is there any fix available for this?

I was facing the same error while installing the requirements for my django project. This worked for me.
Upgrade your setuptools version via pip install --upgrade setuptools and run the command for installing the packages again.

you need a compiler and development tools, along with header files for Python.
you didn't mention your OS.
on my system (Ubuntu), I can install python-dev and the toolchain dependencies with:
$ sudo apt-get install python-dev
then I can pip install numpy.