Develop Reference

Pip can't install flask-socketio

I want to install the module flask-socketio using pip2, however I get an error, that no matching bidict version was found. I looked bidict up, and it turns out, that the version doesnt even exist. I tried installing some other packets, but nothing worked. Here you can see the full error
'''
ERROR: Could not find a version that satisfies the requirement bidict>=0.21.0 (from python-socketio>=5.0.2->flask-socketio) (from versions: 0.1.5, 0.2.1, 0.3.0, 0.3.1, 0.9.0rc0, 0.9.0.post1, 0.10.0, 0.10.0.post1, 0.11.0, 0.12.0.post1, 0.13.0, 0.13.1, 0.14.0, 0.14.1, 0.14.2, 0.15.0.dev0, 0.15.0.dev1, 0.15.0rc1, 0.15.0, 0.16.0, 0.17.0, 0.17.1, 0.17.2, 0.17.3, 0.17.4, 0.17.5, 0.18.0, 0.18.1, 0.18.2, 0.18.3, 0.18.4)
ERROR: No matching distribution found for bidict>=0.21.0 (from python-socketio>=5.0.2->flask-socketio)
'''
Any Ideas?

Flask-SocketIO dropped support for Python 2 at version 5.0.0. Install an older version:
pip install "Flask-SocketIO<5.0.0"

This solved the problem on my Raspberry Pi:
pip3 install flask-socketio

Adding pandas dependencies after kedro new

I began a new project with kedro new without adding the files from the iris example. The original requirements.txt looked like:
black==v19.10b0
flake8>=3.7.9, <4.0
ipython~=7.0
isort>=4.3.21, <5.0
jupyter~=1.0
jupyter_client>=5.1, < 7.0
jupyterlab==0.31.1
kedro==0.16.6
nbstripout==0.3.3
pytest-cov~=2.5
pytest-mock>=1.7.1, <2.0
pytest~=5.0
wheel==0.32.2
I then ran kedro install to install the packages, generating requirements.in and requirements.txt. I now want to install the necessary dependencies for working with pandas and csv files. I tried updating the requirements.in with the line: kedro[pandas]==0.16.6 and then executing kedro install --build-reqs. However, that line fails with the error:
Could not find a version that matches pyarrow<1.0.0,<2.0dev,>=0.12.0,>=1.0.0 (from kedro[pandas]==0.16.6->-r /lrlhps/data/busanalytics/Guilherme/Projects/kedro-environment/spaceflights/src/requirements.in (line 8))
Tried: 0.9.0, 0.10.0, 0.11.0, 0.11.1, 0.12.0, 0.12.1, 0.13.0, 0.14.0, 0.15.1, 0.16.0, 0.16.0, 0.16.0, 0.16.0, 0.17.0, 0.17.0, 0.17.0, 0.17.0, 0.17.1, 0.17.1, 0.17.1, 0.17.1, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 2.0.0, 2.0.0, 2.0.0
There are incompatible versions in the resolved dependencies:
pyarrow<2.0dev,>=1.0.0 (from google-cloud-bigquery[bqstorage,pandas]==2.2.0->pandas-gbq==0.14.0->kedro[pandas]==0.16.6->-r /Projects/kedro/spaceflights/src/requirements.in (line 8))
pyarrow<1.0.0,>=0.12.0 (from kedro[pandas]==0.16.6->-r /Projects/kedro/spaceflights/src/requirements.in (line 8))
Question: Is it possible to update requirements.in and have the pandas dependencies installed with the --build-reqs option? Or must I install the dependency with pip?

You should be able to install pandas by adding which specific components you wish to use, as exemplified in the documentation:
The dependencies above may be sufficient for some projects, but for the
spaceflights project, you need to add a requirement for the pandas project
because you are working with CSV and Excel files. You can add the necessary
dependencies for these files types as follows:
kedro[pandas.CSVDataSet,pandas.ExcelDataSet]==0.17.0
https://kedro.readthedocs.io/en/stable/03_tutorial/02_tutorial_template.html#add-and-remove-project-specific-dependencies
For instance, after adding
kedro[pandas.CSVDataSet]==0.17.0
to your requirements.in and issuing a kedro build-reqs, you should see
kedro[pandas.csvdataset]==0.17.0 # via -r /.../src/requirements.in
(...)
pandas==1.2.0 # via kedro
in your requirements.txt file.

How to install version of tensorflow that isn't available through pip

I am attempting to install a specific version of tensorflow as part of the requirements for some code I'm trying to use (https://github.com/serengil/deepface)
When I attempt to install it like I normally do in command prompt I get the following.
C:\Windows\system32>pip install tensorflow==1.9.0
ERROR: Could not find a version that satisfies the requirement tensorflow==1.9.0 (from versions: 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 1.15.0rc0, 1.15.0rc1, 1.15.0rc2, 1.15.0rc3, 1.15.0, 1.15.2, 1.15.3, 1.15.4, 2.0.0a0, 2.0.0b0, 2.0.0b1, 2.0.0rc0, 2.0.0rc1, 2.0.0rc2, 2.0.0, 2.0.1, 2.0.2, 2.0.3, 2.1.0rc0, 2.1.0rc1, 2.1.0rc2, 2.1.0, 2.1.1, 2.1.2, 2.2.0rc0, 2.2.0rc1, 2.2.0rc2, 2.2.0rc3, 2.2.0rc4, 2.2.0, 2.2.1, 2.3.0rc0, 2.3.0rc1, 2.3.0rc2, 2.3.0, 2.3.1)
ERROR: No matching distribution found for tensorflow==1.9.0
I have referenced a few other Stackoverflow questions (Installing Tensorflow 1.9 in Windows) and haven't been able to find a solution or how to go about getting the version needed.

tensorflow==1.9.0 is available on PyPI (link). Your issue is that you are probably using Python 3.7, which 1.9.0 doesn't support, only Python 2.7 and 3.3 to 3.6. Install 64bit Python 3.6 and use it instead of 3.7.

What to do if pip can't find right versions from requirements.txt

I have found a github repo and cloned it, created and activated a venv, and then attempted to install the requirements from the requirements.txt
In this example, pip fails, saying:
ERROR: Could not find a version that satisfies the requirement tensorflow==1.5.0 (from -r requirements.txt (line 54)) (from versions: 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 1.15.0rc0, 1.15.0rc1, 1.15.0rc2, 1.15.0rc3, 1.15.0, 1.15.2, 1.15.3, 2.0.0a0, 2.0.0b0, 2.0.0b1, 2.0.0rc0, 2.0.0rc1, 2.0.0rc2, 2.0.0, 2.0.1, 2.0.2, 2.1.0rc0, 2.1.0rc1, 2.1.0rc2, 2.1.0, 2.1.1, 2.2.0rc0, 2.2.0rc1, 2.2.0rc2, 2.2.0rc3, 2.2.0rc4, 2.2.0, 2.3.0rc0, 2.3.0rc1, 2.3.0rc2, 2.3.0)
This has happened to me in the past too, with a completely different project using the same tensorflow version.
Why is this tf version not in the list? Did the tf authors remove versions? Where can I find it?
How do I troubleshoot these situations in the future?
It just seems silly that the whole point in a venv and requirements.txt is to make sure I'm running the exact same packages and versions that the author has, but it trips up at the first hurdle.

if the package is not available on pypi, you need to manually download and install from the github repo or where ever it exists.
This is a problem probably concerning Tensorflow already described here:
TensorFlow not found using pip

This is likely due to OP's version of Python. TensorFlow 1.5.0 was released on January 26, 2018 and supports Python versions 2.7 and 3.3-3.6. The solution is to use a supported Python version. Python 3.7+ is not supported because Python 3.7 was released on June 27, 2018, after the release of TensorFlow 1.5.0.
See the TensorFlow 1.5.0 PyPI page for more information.

unable to pip install tensorflow (anymore)

Until recently I was able to install the tensorflow 1.5.0 package when using python 3.6.7 on windows. Now I can't and from the message "from version" below it seems that no tensorflow package is available at all.
Did the support stop recently?
Some additional information taking into account the comments from micha137 and hoefling:
In linux, tensorflow is available in many flavors. This is the case with pip version 9.0.3, 10.0.1, and 18.1 I tried.
For example:
(env3)xxx#xxx-linux:/local/mnt/workspace/tmp$ pip install tensorflow==
Collecting tensorflow==
Could not find a version that satisfies the requirement tensorflow== (from versions: 0.12.0rc0, 0.12.0rc1, 0.12.0, 0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0, 1.4.1, 1.5.0rc0, 1.5.0rc1, 1.5.0, 1.5.1, 1.6.0rc0, 1.6.0rc1, 1.6.0, 1.7.0rc0, 1.7.0rc1, 1.7.0, 1.7.1, 1.8.0rc0, 1.8.0rc1, 1.8.0, 1.9.0rc0, 1.9.0rc1, 1.9.0rc2, 1.9.0, 1.10.0rc0, 1.10.0rc1, 1.10.0, 1.10.1, 1.11.0rc0, 1.11.0rc1, 1.11.0rc2, 1.11.0, 1.12.0rc0, 1.12.0rc1, 1.12.0rc2, 1.12.0)
No matching distribution found for tensorflow==
(env3)xxx#xxx-linux:/local/mnt/workspace/tmp$ pip --version
pip 18.1 from /local/mnt/workspace/tmp/env3/lib/python3.4/site-packages/pip (python 3.4)
By contract, in Windows:
C:\tmp>pip --version
pip 18.1 from c:\users\xxx\appdata\local\programs\python\python36-32\lib\site-packages\pip (python 3.6)
C:\tmp>pip install tensorflow==
Collecting tensorflow==
Could not find a version that satisfies the requirement tensorflow== (from versions: )
No matching distribution found for tensorflow==
Some additional information:
C:\tmp>pip install -vvv tensorflow. -
Config variable 'Py_DEBUG' is unset, Python ABI tag may be incorrect
Config variable 'WITH_PYMALLOC' is unset, Python ABI tag may be incorrect
Created temporary directory: C:\Users\xxx\AppData\Local\Temp\pip-ephem-wheel-cache-fmlkvkla
Created temporary directory: C:\Users\xxx\AppData\Local\Temp\pip-req-tracker-oijk67__
Created requirements tracker 'C:\\Users\\xxx\\AppData\\Local\\Temp\\pip-req-tracker-oijk67__'
Created temporary directory: C:\Users\xxx\AppData\Local\Temp\pip-install-tt2d7lx0
Cleaning up...
Removed build tracker 'C:\\Users\\xxx\\AppData\\Local\\Temp\\pip-req-tracker-oijk67__'
Invalid requirement: 'tensorflow.'
Followed by a lengthy traceback.
And:
C:\tmp>python -c "from setuptools import pep425tags; print(pep425tags.get_supported()[0])"
c:\Users\xxx\AppData\Local\Programs\Python\Python36-32\lib\site-packages\setuptools\pep425tags.py:89: RuntimeWarning: Config variable 'Py_DEBUG' is unset, Python ABI tag may be incorrect
warn=(impl == 'cp')):
c:\Users\xxx\AppData\Local\Programs\Python\Python36-32\lib\site-packages\setuptools\pep425tags.py:93: RuntimeWarning: Config variable 'WITH_PYMALLOC' is unset, Python ABI tag may be incorrect
warn=(impl == 'cp')):
('cp36', 'cp36m', 'win32')

Judging by the output of
python -c "from setuptools import pep425tags; print(pep425tags.get_supported()[0])"
('cp36', 'cp36m', 'win32')
you have the supported Python version, but a 32 bit distribution installed (the platform tag is win32; for 64 bit Python on Windows, it should be win_amd64). Tensorflow is available for 64 bit distributions only (all the wheels on PyPI have platform tag either macosx_10_11_x86_64 for MacOS, or manylinux1_x86_64 for Linux, or win_amd64 for Windows). Installing the 64 bit Python (e.g. from python-3.6.8-amd64.exe) will do the trick.

You could try to list the available versions:
$ pip.exe install tensorflow==
Collecting tensorflow==
Could not find a version that satisfies the requirement tensorflow== (from ver sions: 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0, 1.5.0rc0, 1.5.0rc1, 1.5.0, 1.5.1, 1.6.0rc0, 1.6.0rc1, 1.6.0, 1.7. 0rc0, 1.7.0rc1, 1.7.0, 1.7.1, 1.8.0rc0, 1.8.0rc1, 1.8.0, 1.9.0rc0, 1.9.0rc1, 1.9 .0rc2, 1.9.0, 1.10.0rc0, 1.10.0rc1, 1.10.0, 1.11.0rc0, 1.11.0rc1, 1.11.0rc2, 1.11.0, 1.12.0rc0, 1.12.0rc1, 1.12.0rc2, 1.12.0)
No matching distribution found for tensorflow==