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I want to build a Docker container using a Dockerfile containing pip install -r requirements.txt. pandas==0.22.0 is included in this requirements.txt file. Untill two days ago, the Docker container was perfectly build. Starting from yesterday, I receive an error:
Double requirement given: numpy==1.12.1 from https://pypi.python.org/packages/02/64/c6c1c24ff4dbcd789fcfdb782e343ac23c074f6b8b03e818ff60eb0f937f/numpy-1.12.1-cp34-cp34m-manylinux1_x86_64.whl#md5=6288d4e9cfea859e03dc82879539d029 (already in numpy==1.9.3 from https://pypi.python.org/packages/fc/1b/a1717502572587c724858862fd9b98a66105f3a3443225bda9a1bd16ee14/numpy-1.9.3-cp34-cp34m-manylinux1_x86_64.whl#md5=e1130c8f540a759d79ba5e8960f6915a, name='numpy')
This error occurs both on Mac (Docker version: 18.03.0-ce-mac58 (23607)) and Ubuntu 16.04.3 (Docker version: 17.12.0-ce, build c97c6d6).
I already tried to use different versions op pandas, to preinstall numpy, to remove pands from the requirements.txt file and install it seperately. As well as trying to install with apt-get install python-pandas. For the latter solution pandas v14 was installed, while I need at least v19.
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This error usually means there's a problem with the Python installation or the system variable PATH is not set up correctly. Try reinstalling Python and all its components to fix the problem. The easiest way is via the Python executable installer.
Enter the command “pip install pandas” on the terminal. This should launch the pip installer. The required files will be downloaded, and Pandas will be ready to run on your computer. After the installation is complete, you will be able to use Pandas in your Python programs.
The pip install <package> command always looks for the latest version of the package and installs it. It also searches for dependencies listed in the package metadata and installs them to ensure that the package has all the requirements that it needs.
I finally found the solution for this in case of python3 or pip3
pip3 install pandas --no-build-isolation
As of December 2020, in my case, upgrading pip to version 20.3 worked well.
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