Running setup.py install for fbprophet ... error

Question

I cannot install fbprophet or gcc7.

I have manually installed a precompiled ephem.

Running setup.py install for fbprophet ... error

I have tried with python 3.6 and 3.7. I have tried running as administrator and without.

My anaconda prompt cannot install anything without throwing errors. I would rather use pip.

The problem may be related to pystan.

File "d:\python37\lib\site-packages\pystan\api.py", line 13, in <module> import pystan._api  # stanc wrapper
ImportError: DLL load failed: The specified module could not be found.

I am using windows 10.

Undeceive

Run python -c "from pip._internal.pep425tags import get_supported; print(get_supported()[0])" from the terminal and post the output here. Make sure to use the desired target version of Python, e.g. py -3.7 instead of python in command if needed. – Chanson

This answer might help you. https://mcmap.net/q/1094506/-import-pystan-_api-failed-importerror-dll-load-failed-the-specified-module-could-not-be-found – Beera

Answer 1

To solve this problem, I uninstalled my existing python 3.7 and anaconda. I re-installed anaconda with one key difference.

I registered Anaconda as my default Python 3.7 during the Anaconda installation. This lets visual studio, PyDev and other programs automatically detect Anaconda as the primary version to use.

Undeceive

Answer 2

Use: The first step is to remove pystan and cache:

pip uninstall fbprophet pystan
pip --no-cache-dir install pystan==2.17  #any version
pip --no-cache-dir install fbprophet==0.2 #any version
conda install Cython --force

pip install pystan
conda install pystan -c conda-forge
conda install -c conda-forge fbprophet

It creates a wheel and update the environment necessary for the package. pip install fbprophet creates the similar issue.

Be sure that pystan is working.

import pystan
model_code = 'parameters {real y;} model {y ~ normal(0,1);}'
model = pystan.StanModel(model_code=model_code)
y = model.sampling().extract()['y']
y.mean()  # with luck the result will be near 0

Use this link: Installing PyStan on windows

Fieldfare

Thank you for your reply. No PyStan isn't working even though it said it successfully installed. How can I correctly install PyStan? – Undeceive

@CamK Great. You can install: pip install pystan, also use the link in the answer which is: pystan.readthedocs.io/en/latest/windows.html – Fieldfare

@CamK I updated answer, let's remove pystan and cache and install it again. – Fieldfare

d:\python37\include\pyconfig.h(59): fatal error C1083: Cannot open include file: 'io.h': No such file or directory – Undeceive

I receive that error when I run the second line "pip --no-cache-dir install pystan==2.17" – Undeceive

@CamK remove its version and just run: "pip3 --no-cache-dir install pystan" – Fieldfare

When I try pip --no-cache-dir install fbprophet, I still receive Running setup.py install for fbprophet ... error – Undeceive

@CamK try to skip it or remove version and just run: "pip --no-cache-dir install fbprophet" – Fieldfare

Sadly, it gives the same error. I've added a picture. – Undeceive

@CamK Do you have VS2015? or VS2017? another is, please run anaconda as administrator. – Fieldfare

@CamK Please look at new answer for how to install pystan – Fieldfare

Answer 3

Reason: The python distribution on Anaconda3 uses an old version of gcc (4.2.x)

Please use anaconda prompt as administrator

set a new environment for a stan

conda create -n stan python=<your_version> numpy cython

install pystan and gcc inside the virtual environment.

conda activate stan   

or

source activate stan
(stan)  pip install pystan
(stan)  pip install gcc

verify your gcc version:

gcc --version
gcc (GCC) 4.8.5

Fieldfare

My anaconda prompt fails to install anything due to ipykernel. That's a separate issue. I cannot install gcc on pip. pip install gcc7 "cannot find a version" – Undeceive

You should use one of these: conda activate stan or source activate stan but not both. – Fieldfare

That issue is because of your environment (stan), I have python 3.7.3 and Visual Studio 2017 and run my anaconda as administrator and I could install pystan. Look at the picture I uploaded in answer. – Fieldfare

I am using python 3.7.0 with visual studio 2017 . When I run pip install gcc I get ERROR: Could not find a version that satisfies the requirement gcc (from versions: none) – Undeceive

@CamK, Great, you can skip gcc and follow my last answer – Fieldfare

Executing transaction: | ERROR conda.core.link:_execute_post_link_actions(658): An error occurred while installing package 'defaults::m2-base-1.0.0-3'. LinkError: post-link script failed for package defaults::m2-base-1.0.0-3 – Undeceive

Answer 4

I tried to import fbprophet on Python Anaconda, however, I got some errors.

This code works for me..

conda install -c conda-forge/label/cf201901 fbprophet 

Livvie

Answer 5

(Short n Sweet) For Mac users :

1. pip3 uninstall pystan
2. pip3 install pystan==2.17.1.0
3. pip3 install fbprophet

Valverde

Answer 6

I used the following steps to install fbprophet 0.7.1 on windows 10 (2022-03-10):

1. Install anaconda here.
2. Install pystan by following this guide. The main line I used was conda install libpython m2w64-toolchain -c msys2. Then, install pystan using pip install pystan
3. Check your installation by running the following in a python terminal:

>>> import pystan
>>> model_code = 'parameters {real y;} model {y ~ normal(0,1);}'
>>> model = pystan.StanModel(model_code=model_code)
>>> y = model.sampling().extract()['y']
>>> y.mean()  # with luck the result will be near 0

4. If the above works, proceed to install fbprophet with pip install fbprophet

Hope this works for you!

Johannisberger

Answer 7

It looks like fbprophet renamed to prophet on the FB side, so this command worked for me (Windows 10 + VSCode + Python 3.10.2)

pip install prophet --no-cache-dir

Gymno

Answer 8

If all of the answers did not work lets clone pystan and do not use the above solutions:

git clone --recursive https://github.com/stan-dev/pystan.git
cd pystan
python setup.py install

Fieldfare

Should I be using pip or anaconda? – Undeceive

@CamK Search anaconda prompt and right click and select "run as administrator" , then run my last answer – Fieldfare

error: unable to create file lib/boost_1.69.0/libs/geometry/doc/html/geometry/reference/spatial_indexes/boost__geometry__index__rtree/rtree_parameters_type_const____indexable_getter_const____value_equal_const____allocator_type_const___.html: Filename too long Unable to checkout 'c2fb25c3f53d3d33157a27ce995911b0bc92d55d' in submodule path 'pystan/stan/lib/stan_math' Failed to recurse into submodule path 'pystan/stan' – Undeceive

Honestly I feel that I may have to completely re-install anaconda and start from scratch. – Undeceive

Dear @CamK I am sure it is because of your env, please look at env, for example for me is: (base) C:\Windows\system32> git clone --recursive github.com/stan-dev/pystan.git , check your env, if you select Anaconda prompt then it is by default on the root. – Fieldfare

My environment is (base) C:\WINDOWS\system32> and I am running as an administrator. It may be a permissions problem. – Undeceive

ok, run cd.., then cd.., cd where you create" pystan" or in your anaconda, then follow above git clone – Fieldfare

I changed my folder to my pystan folder. I then tried git clone --recursive github.com/stan-dev/pystan.git . I received the following error error: unable to create file lib/boost_1.69.0/libs/geometry/doc/html/geometry/reference/spatial_indexes/boost__geometry__index__rtree/rtree_parameters_type_const____indexable_getter_const____value_equal_const____allocator_type_const___.html: Filename too long – Undeceive

I will now re-install anaconda – Undeceive

Answer 9

From the horse's mouth: The package name is now prophet instead of fbprophet... so for latest python versions:

conda install -c conda-forge prophet

In particular, as we see with mamba here is what is available for fbprophet:

└─ fbprophet   is installable with the potential options
   ├─ fbprophet [0.1.1|0.1.post1|...|0.5] would require
   │  └─ python [2.7* |>=2.7,<2.8.0a0 ], which can be installed;
   ├─ fbprophet [0.1.1|0.1.post1|0.2|0.2.1|0.3.post2] would require
   │  └─ python [3.5* |>=3.5,<3.6.0a0 ], which can be installed;
   ├─ fbprophet [0.1.1|0.1.post1|0.2|0.2.1] would require
   │  └─ python 3.6* , which can be installed;
   ├─ fbprophet [0.3.post2|0.4.post2|0.5|0.6|0.7.1] would require
   │  └─ python >=3.6,<3.7.0a0 , which can be installed;
   ├─ fbprophet [0.5|0.6|0.7.1] would require
   │  └─ python >=3.7,<3.8.0a0 , which can be installed;
   └─ fbprophet 0.7.1 would require
      └─ python >=3.8,<3.9.0a0 , which can be installed.

In more detail, for linux, but assume similar for win, fbprophet is available in conda-forge for older python versions:

Name      Version   Build          Channel             
─────────────────────────────────────────────────────────
 fbprophet 0.7.1     py38h950e882_0 conda-forge/linux-64
 fbprophet 0.7.1     py37h3340039_0 conda-forge/linux-64
 fbprophet 0.7.1     py36h831f99a_0 conda-forge/linux-64
 fbprophet 0.6       py37he1b5a44_0 conda-forge/linux-64
 fbprophet 0.6       py36he1b5a44_0 conda-forge/linux-64
 fbprophet 0.5       py27he1b5a44_0 conda-forge/linux-64
 fbprophet 0.5       py27he1b5a44_1 conda-forge/linux-64
(... similar results of in between versions ...)
 fbprophet 0.1.1     np112py27_0    conda-forge/linux-64
 fbprophet 0.1.1     np111py36_0    conda-forge/linux-64
 fbprophet 0.1.1     np111py35_0    conda-forge/linux-64
 fbprophet 0.1.post1 py36_0         conda-forge/linux-64
 fbprophet 0.1.post1 py35_0         conda-forge/linux-64
 fbprophet 0.1.post1 py27_0         conda-forge/linux-64

while the same query for prophet returns:

Name    Version Build           Channel             
──────────────────────────────────────────────────────
 prophet 1.1.5   py310h56eac3b_1 conda-forge         
 prophet 1.1.5   py310h56eac3b_0 conda-forge/linux-64
 prophet 1.1.5   py310h56eac3b_1 conda-forge/linux-64
 prophet 1.1.5   py311h1fff0e1_0 conda-forge/linux-64
 prophet 1.1.5   py39h5ee1178_1  conda-forge/linux-64
 prophet 1.1.5   py39h5ee1178_0  conda-forge/linux-64
 prophet 1.1.5   py38h214270d_1  conda-forge/linux-64
 prophet 1.1.5   py38h214270d_0  conda-forge/linux-64
 prophet 1.1.5   py312h4f541b2_1 conda-forge/linux-64
 prophet 1.1.5   py311h1fff0e1_1 conda-forge/linux-64
 prophet 1.1.4   py38h214270d_0  conda-forge/linux-64
 prophet 1.1.4   py310h56eac3b_0 conda-forge/linux-64
 prophet 1.1.4   py311h1fff0e1_0 conda-forge/linux-64
 prophet 1.1.4   py39h5ee1178_0  conda-forge/linux-64
 prophet 1.1.4   py39h3c18c91_0  pkgs/main/linux-64  
(... similar results of in between versions ...)
 prophet 1.1     py39hf3d152e_1  conda-forge/linux-64
 prophet 1.1     py39hf3d152e_2  conda-forge/linux-64
 prophet 1.0.1   py37h06a4308_0  pkgs/main/linux-64  
 prophet 1.0.1   py38h06a4308_0  pkgs/main/linux-64  
 prophet 1.0.1   py39h06a4308_0  pkgs/main/linux-64  
 prophet 1.0.1   py37h89c1867_1  conda-forge/linux-64
 prophet 1.0.1   py37h085eea5_3  conda-forge/linux-64
 prophet 1.0.1   py36hcb3619a_3  conda-forge/linux-64
 prophet 1.0.1   py36h5fab9bb_5  conda-forge/linux-64
 prophet 1.0.1   py36h5fab9bb_4  conda-forge/linux-64
 prophet 1.0.1   py36h5fab9bb_2  conda-forge/linux-64
 prophet 1.0.1   py36h5fab9bb_1  conda-forge/linux-64
 prophet 1.0.1   py37h89c1867_2  conda-forge/linux-64
 prophet 1.0.1   py37h89c1867_4  conda-forge/linux-64
 prophet 1.0.1   py37h89c1867_5  conda-forge/linux-64
 prophet 1.0.1   py38h578d9bd_1  conda-forge/linux-64
 prophet 1.0.1   py38h578d9bd_2  conda-forge/linux-64
 prophet 1.0.1   py38h578d9bd_4  conda-forge/linux-64
 prophet 1.0.1   py38h578d9bd_5  conda-forge/linux-64
 prophet 1.0.1   py38ha770c72_1  conda-forge/linux-64
 prophet 1.0.1   py38hd0cf306_3  conda-forge/linux-64
 prophet 1.0.1   py39hf3d152e_5  conda-forge/linux-64

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