As a premise, I would specify that I am new to Python, so please forgive eventual inaccuracies.
So, I have recently installed Anaconda, and updated the Python version to 3.7.1.
In order to impute some missing values in my dataset using KNN, I've found a useful function in a package called fancyimpute.
However, such package is not among those already available (that is, from Spyder, the IDE I'm using, I cannot simply import it), so I need to install it.
Opening, as such, the Anaconda prompt and typing "conda install fancyimpute" doesn't work, returning the following:
"PackagesNotFoundError: The following packages are not available from current channels:
fancyimpute
Current channels:
(here a list of some channels)
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".
Going, therefore, with "pip install fancyimpute" (although to me it's still not clear the difference between conda install and pip install) after a while I obtain the following:
"Collecting tensorflow (from fancyimpute)
Could not find a version that satisfies the requirement tensorflow (from fancyimpute) (from versions: )
No matching distribution found for tensorflow (from fancyimpute)"
I have therefore now run "conda install tensorflow", and is already about 30 minutes that is Solving environment.
What can I do? How can I obtain the desired package and avoid similar problems in future? Many thanks and hope I was clear in exposing the problem.
UPDATE: https://anaconda.org/search?q=fancyimpute From here, it seems that fancyimpute isn't available on my platform, w-64. How can I overcome this problem?
SOLVED: Apparently, I have solved the problem.
I have first created an ad hoc environment and installed tensorflow using conda.
Then, I have pip installed fancyimpute: at this point, got a couple of new errors ("Failed building wheel for fastacache", and same for cvxpy), both solved installing Microsoft Visual C++ Build Tools. So, finally, I have been able to install also fancyimpute.
Nonetheless, at this point, I coulnd't import it (ImportError: DLL load failed: The specified module could not be found. Failed to load the native TensorFlow runtime). After uninstalling and reinstalling tensorflow using conda-forge as channel, now it works.
User brittainhard on anaconda.org had the same idea. To use his/her version of the library (hosted on anaconda.org):
conda install -c brittainhard fancyimpute
Related
I was just preparing to make a voice assistant and an error occurred while I was installing the ecapture module in python. I used pip for installing and the error is as shown below.
Failed to build scikit-image
ERROR: Could not build wheels for scikit-image, which is required to install py.project.toml-based projects
I have tried to install it from PyPI
even I do have tried to restart my computer, reinstall python, etc.
but it doesn't just work.
Note: only use this answer if you trust binaries built by Christoph Gohlke, who maintains an excellent index of binaries here https://www.lfd.uci.edu/~gohlke/pythonlibs/
You can either grab the needed packages from there manually, or use this package (which I wrote, full disclosure):
pip install gohlkegrabber
ggrab . scikit-image
pip install scikit_image-0.19.0-cp310-cp310-win_amd64.whl
pip install ecapture
Note that the package you were lacking is scikit-image - you may be able to find binaries elsewhere as well, the site above is only provided as a suggestion. Again, only use if you trust the author.
Also note that the package was called scikit_image-0.19.0-cp310-cp310-win_amd64.whl for me, as I'm on Python 3.10 on 64-bit Windows. Yours may have a different name (if available), but the ggrab command will tell you.
Finally note that 0.19.0 just happens to be the most recent build on that site - it's not guaranteed to have the latest build, or to have the latest build for your OS/version of Python.
I have installed lxml and pillow using pip install lxml and pip install pillow and cmd is showing that I have successfully installed lxml and pillow but on importing lxml and pillow in jupyter notebook, it is saying that library not found:
jupyter notebook:-
Please help me to resolve this issue.
This question is asked so often all the time. With variations in the use of PyCharm as well. My recommendation for using Jupyter Notebook is to install any package within the notebook itself. In your case, create a cell containing:
!pip install lxml
!pip install pillow
After the installation is complete, you can safely remove it. You only need to install them once. You see? As simple as that. So, you are no longer need to think of using a different environment. It's easier if you are still a beginner. Then start learning all about the Python environment: https://docs.python.org/3/tutorial/venv.html and of course, not forget to mention about operating system path in case you have multiple version of Python (from Anaconda, the Microsoft Store, and Python official installer).
I'm trying to install python and tensorflow to learn as part of a class I am taking, and am having some issues installing tensorflow. I keep getting the same set of errors:
C:\Users\X\AppData\Local\Programs\Python\Python36-32\python.exe: can't find '__main__' module in 'C:\\'
or
Could not find a version that satisfies the requirement tensorflow (from versions: ) No matching distribution found for tensorflow
I've tried uninstalling and reinstalling python while adding it to my path, and that solved me not being stuck with syntax errors (most of the time), but I haven't been able to make any progress. Any advice on moving forward would be appreciated.
To be clear, I am typing the following command into my command prompt:
pip3 install --upgrade tensorflow
As per the instructions on the TensorFlow website - I've been finding the "C:\>" raises a syntax error however.
your pip3 is broken, because I can clearly see tensorflow distribution on PyPi for python 3.6 https://pypi.python.org/pypi/tensorflow/1.5.0. Also, I just created a new virtual env for python 3.6 and I am able to pip install it.
Also you can download manually the "tensorflow-1.5.0-cp36-cp36m-win_amd64.whl",assuming you have windows, and pip install tensorflow-1.5.0-cp36-cp36m-win_amd64.whl
I can not for the life of me figure out how to install the package statsmodels for Python 3. It feels like I've tried everything, but nothing is working.
Goal: import statsmodels in python
I start with:
pip install statsmodels
Main error messages:
Failed bulding wheel for statsmodels.
Cython is required to compile statsmodels from a development branch.
Please install Cython or download a source release of statsmodels.
So I try:
pip install cython
Gives:
Requirement already satisfied: cython in c:users\XXX\appdata\roaming\python\python36\site-packages
I installed cython by installing anaconda. I have tried almost all answers I could find by basic googling. But things just don't seem to be working.
Instead of listing the input\output of what I have tried I now only show the first steps, but let me know if you want to see the output of any commands.
How do I continue from here? Any help is appreciated, I've been trying to fix this for several days now and I'm only getting frustrated.
Right now I'm trying:
easy_install cython
This seemed to work, but afterwards pip install statsmodels didn't work.
Command ... failed with error code 1.
I tried:
git clone https://github.com/statsmodels/statsmodels
cd statsmodels
pip install .
And failed with a bunch of errors.
I ran into this same problem lastnight trying to install statsmodels. Finally what worked was installing the Microsoft Visual C++ compiler for Python found here: https://www.microsoft.com/en-gb/download/details.aspx?id=44266 then installing statsmodels by doing pip install statsmodels. I had already installed Cython by using pip. Though I do realize that was for Python 2.7. There doesn't seem to be this compiler available for Python 3.
The main statsmodels on PyPI is very old and uses a nonstandard setup. The release candidate for 0.10.0 is out now, and I would strongly recommend you use this one. You can install it using
pip install statsmodels=0.10.0rc2 --pre
It has wheels for all of the major platforms (Win/OSX/Linux), so you shouldn't see issues related to Cython.
To install statsmodels under anaconda, use
conda install statsmodels
The package is available in the repository of anacondata in version 0.8.0 which is the latest on pip as of now.
anaconda is not "just" a Python installation, it also contains the conda package manager that can install pre-built packages from the main repository of anaconda or from other "channels". It is not advisable to install packages that are available from the anaconda channel with pip, in general.
A comment on the issue of Cython here: to use Cython, your computer needs also a "development environment", that is the availability of a C compiler, of the Python development headers, among others. The C compiler must be compatible with the version of Python for which Cython is installed.
I am trying to follow to the installation guide on tensorflow.org and have installed Python version 2 again for that reason using Homebrew.
When I run the installation as described
$ pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl
I get this error message:
tensorflow-0.5.0-py2-none-any.whl is not a supported wheel on this platform.
I am obviously doing something wrong, but have no idea. Any clues?
I do not want to use virtualenv, since anaconda already comes with its own environment management conda. When installing the newest version 0.6.0 directly with pip install, I had a similar error. It seemed to not resolve the dependencies correctly.
Here is what you can try:
Install anaconda
Create a new conda workspace
Download the specific protobuf version that tensorflow needs: https://pypi.python.org/pypi/protobuf/3.0.0a3
Install it via sudo easy_install ~/Downloads/protobuf-3.0.0a3-py2.7.egg
Install a numpy version greater than 1.08.x via conda install numpy
Download the 0.6.0 version of tensorflow: https://storage.googleapis.com/tensorflow/mac/tensorflow-0.6.0-py2-none-any.whl
Install via pip install ~/Downloads/tensorflow-0.6.0-py2-none-any.whl
When you install tensorflow from the whl file directly, it should tell you when dependencies are not there. It seems not to be able to resolve these conflicts independently. My setup had issues with protobuf and numpy. After installing them manually everything worked fine.
I hope this helps!
It seems to be a common issue. Try to install it in the virtualenv. Its a much better solution, as you can always easily set up a new version of tensorflow without conflicts.
VirutalEnv Tutorial:
http://tensorflow.org/get_started/os_setup.md#virtualenv-based_installation
On the Mac, I didn't have any problem installing tensorflow with the anaconda version of python: https://www.continuum.io/downloads
The anaconda version also provides science, math, engineering, and data analysis packages. A lot of people on https://www.kaggle.com/ seem to use this...just a thought.