Trying to install the latest version of pandas on my ubuntu 16.04 through pip install
If I read well the result of this command:
python3 -m pip search pandas
...
pandas (0.25.3) - Powerful data structures for data analysis, time series, and statistics
INSTALLED: 0.24.2
LATEST: 0.25.3
...
I should be able to install version 0.25.3 of that package.
I tried
pip install --upgrade pandas --user, which tells me that I already have the latest version
pip install --upgrade --upgrade-strategy eager pandas --user, that installed up-to-date versions of dependencies, but pandas is still 0.24.2
python3 -m pip install pandas==0.25.3 --user which tells me that specific version can't be found, and provides me with a very long list of available versions stopping indeed at version 0.24.2
Am I misinterpreting something ?
Thanks for your help
If you're using the latest Python 3 available by default with Ubuntu 16.04 (3.5.1), it isn't compatible with the 0.25.x release of pandas according to the release notes. You can see some related discussion here.
To see this from pip, you can run the install command using -v and pip will indicate that some links are being ignored because of an incompatible Python version.
You have a few options:
Use a PPA that provides more recent Python 3 versions for 16.04, like deadsnakes
Use pyenv
Related
In my fresh new virtual environment.
I run
pip search apache-beam
I got
apache-beam (2.9.0)
Then I run
pip install apache-beam
pip list
But I got apache-beam 2.2 installed, instead of 2.9
apache-beam 2.2.0
I then run
python -m apache_beam.examples.wordcount --output cout
I got the error
The Apache Beam SDK for Python is supported only on Python 2.7.
From this document
https://towardsdatascience.com/hands-on-apache-beam-building-data-pipelines-in-python-6548898b66a5
beam 2.9 will support python3. But pip search I found apache-beam 2.9. but pip install, I still get apache-beam 2.2.
Please help.
I got the same kind of requirement, I tried this way to install apache Beam
it was worked for me.
Step 01: Make sure to install python 3.7 or above
Step 02: Beam version, I choose 2.27 for my requirement
pip3 install apache-beam==2.27.0
I tried to install autokeras on aws ec2 (p2.xlarge) with the environment python 3.6 & tensorflow. I get following error after "pip install autokeras":
tensorflow 1.10.0 has requirement numpy<=1.14.5,>=1.13.3, but you'll have numpy 1.15.4 which is incompatible.
Installing collected packages: imageio, autokeras
Found existing installation: imageio 2.3.0
Cannot uninstall 'imageio'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.
I uninstalled numpy 1.15.4 and installed numpy 1.14.5. With "conda list", I can see the numpy has the correct version.
But after "pip install autokeras" I get the same error and numpy 1.15.4 is still there.
Has anyone successfully installed autokeras on aws ec2? What shall I do to install autokeras correctly?
(Maybe the 'imageio' is the next problem?)
Thank you!
I think you need tensorflow 1.14. Here my notes for AutoKeras installation:
Autokeras Installation Notes in the Deep Learning AMI:
We launched a new deep learning AMI with ubuntu.
The deep learning AMI didn't worked using the "tensorflow + keras + py3.6" environment (so no need for a DL AMI probably, you can save space on disk using a normal clean AMI), so we managed o install autokeras doing the following:
Create a new environment with Anaconda: $ conda create -n autokeras python=3.6.
1.1. Remember that only python 3.6 is working with autokeras
Activate virtual env: It didn't work $ conda activate autokeras, but it works using $ source activate autokeras.
installation of all the packages as required by pyimagesearch.
3.1. A new problem arised here, which, long story short, was solved using the next post (note that I chenged the order, since urllib3 needs jsonschema to be installed first):
$ pip uninstall urllib3```
$ pip uninstall jsonschema
$ pip install jsonschema==2.6.0
$ pip install urllib3==1.24.1
3.2. Finally I was able to install all 3 packages:
$ pip install tensorflow # or tensorflow-gpu
$ pip install keras
$ pip install autokeras
3.3. Autokeras worked fine at this point, but it raised a warning:
>>> import autokeras
Better speed can be achieved with apex installed from https://www.github.com/nvidia/apex
So I just went to the webpage and followed the installation steps. Now it works without warnings (so far):
$ git clone https://github.com/NVIDIA/apex
$ cd apex
$ pip install -v --no-cache-dir --global-option="--pyprof" --global-option="--cpp_ext" --global-option="--cuda_ext" ./
I’m trying to update the rasa bot source code from a friend of mine but I had a problem when trying to download rasa_core:
(cha_env) C:\Users\antoi\Documents\Programming\Nathalie\Chatbot_RASA_room_reservation>pip install rasa_core
Collecting rasa_core
...
Collecting tensorflow==1.10.0 (from rasa_core)
Could not find a version that satisfies the requirement tensorflow==1.10.0 (from rasa_core) (from versions: )
No matching distribution found for tensorflow==1.10.0 (from rasa_core)
You are using pip version 10.0.1, however version 18.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
Do you have any idea ? Is it because of the requirements ?
I tried to install tensorflow according to this answer :
python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.0-py3-none-any.whl
But I still have the same issue.
I remember seeing this issue when my colleague was installing it rasa_core. Try installing tensorflow separately then continue with rasa_core installation. It should solve the problem
pip install tensorflow
If you get No matching distribution found for tensorflow error try following:
Note: This works for 64 bit Windows for tensorflow version 1.12.0. For all the variants of tensorflow distribution please check https://storage.googleapis.com/tensorflow/
python -m pip install --upgrade https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-windows-x86_64-1.12.0-rc2.zip
I can not find a solution to install tensorflow on anaconda/mac.
When i try: conda install tensorflow,
I get:
UnsatisfiableError: The following specifications were found to be in conflict:
- blaze -> numba -> numpy=1.13
- tensorflow
Use "conda info " to see the dependencies for each package.
I tried reinstalling numpy, and could not find any relevant documentation.
On mac use following command:
conda install -c conda-forge tensorflow
This will install the latest Tensorflow on your system. if you wish to upgrade it to newer version then you can use the following command
conda update -f -c conda-forge tensorflow
I have had success installing tensorflow through pip...
pip install tensorflow
or, if you have all of the proper libraries...
pip install tensorflow-gpu
But if you have already removed numpy form the anaconda install, you might be in for a long day because almost all of the numeric packages require it. If the above pip install doesn't work, you might want to start from a clean anaconda install.
I have installed tensorflow using -
pip install tensorflow
Or, you can use Anaconda in following way -
Open Anaconda Navigator
On Left side go to Environments
Create a new environment (eg :- tensorflow_tf), select python 3.7
then select Not installed and Search "tensorflow"
click on tensorflow and apply
I have installed python and many other useful tools on my Ubuntu 14.04 using Anaconda. I installed pysam (htslib interface for python) using
conda install pysam
However this installs the old version (0.6). The current version is 0.8.4. How can I install that version using conda. I don't want to use pip install pysam because I read somewhere it might cause problems.
Thanks.
Anaconda only provides version 0.6. You can install from binstar with:
conda install -c https://conda.anaconda.org/uhlitz pysam
This should give you version 0.8.3 for linux64. Other channels are also available.