Please see the following figure. I need to install xgboost for python using Anaconda.
However, I don't know which of the red-marked packages are relevant for me.
In my experience, when I installed the single package, i.e. py-xgboost-cpu, I was asked to (automatically) install rest of the other libraries, which I did.
Related
I am trying to install OSMNX module in Pycharm (using Python 3.7.2).
I tried installing it using pip install osmnx but got the following error[![error][1]][1]
i have also tried using .whl files from [https://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona][2] but I cannot identify how/what steps to follow. Please provide some clear steps!
Most of the other question are answered w.r.t. conda environment. I have to use Pcharm only.
Input in any form is highly appreciated!
[1]: https://i.stack.imgur.com/RdJDN.png
[2]: https://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona
You said:
I have to use Pcharm only.
Does that mean you cannot use conda + pycharm on your system for some reason? If you can, then:
Install OSMnx with conda
Use Conda environment in pycharm
This is by far the easiest (and recommended) solution.
If you cannot, then you must manually install the dependencies. This is a nontrivial process, especially if you're on Windows. OSMnx itself is pure Python and its installation is simple, but its dependencies have C extensions that require compilation.
You can see OSMnx's dependencies here and you'll have to install them one at a time. All of the tricky dependencies are brought in via geopandas, and you can read more about its installation details and dependencies here.
I am trying to use the customvision SDK in python.
As it is explained on the customvision website, I run pip install azure-cognitiveservices-vision-customvision.
But I get a missing file error. Does someone could give me an example of :
\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\azure\cognitiveservices\vision\customvision\prediction\models\pycache\_custom_vision_prediction_client_enums.cpython-38.pyc'
Thank you for trying to help but I fixed this problem yersteday.
In order to do that, I reinstalled python 3.8 and pip3, then I installed azure-cognitiveservices-vision-customvision==1.0.0 package.
However it didn't install the training package so I had to download it manually on Pypi.
I am still pretty new to python, and I was wondering if anyone has had this problem before. I have read other threads, but I haven't seen this problem addressed yet. I need to install the GDAL module for python, and I have seen threads saying you need to install GDAL first and then it can be used on python, but I have also see others that said that conda install GDAL is enough. When I try the latter, I get this error. Any ideas?
I had the same problem two days ago trying to install GDAL on Debian Jessie.
The solution was using pygdal python package from PyPi.
Just read the instructions at PyPi and follow them, they are a bit different then one expects. In general:
install required dependencies into your system (e.g. using apt-get install libgdal1-dev
check, what version of GDAL is installed
use pip to install pygdal with a version matching the installed GDAL lib.
The last step is a bit unusual, but does the trick.
This works for Linux. For Windows my colleagues claim, there are ready made binaries, which can be 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.
I am very new to python, and am having difficulty getting any packages from online to install properly. I'm pretty sure I'm doing something fundamentally wrong, but since I am new to language I am unsure of what it is. I have read through several online sources but still can't get it to work. I feel really dumb asking this, but I would greatly appreciate it if someone could walk me through how to install it starting from the point of downloading the package online. Thanks!
If your primary use case is the scipy stack, for example as a Matlab replacement. I would highly recommend using the Anaconda distribution. It is brilliant for new comers, a large majority of what you are likely after comes pre installed.
Download it here:
https://www.continuum.io/downloads#_macosx
I would recommend picking the python 3 64bit installer. A direct link to the download is here:
https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda3-2.3.0-MacOSX-x86_64.pkg
Your best bet is to use Homebrew as your general package manager and then use use it to install Pip to manage all of your python packages. Both of the links below will walk you through how to do these things.
See Homebrew link
See How to install pip on Mac for Pip
Go here and download get-pip.py
Then, from terminal run the command python get-pip.py
This should install pip for you. Pip is awesome, and you really want to have it. Now, all you have to do is run this command from terminal:
pip install matplotlib
Or to get Numpy:
pip install numpy