Deploy matplotlib on heroku failed. How to do this correctly?

Question

I've install matplotlib in my virtualenv using pip. It was a failure at the beginning, but after I do `easy_install -U distribute`, the installation goes smoothly. Here is what I do (inside my git repository root folder): ``` virtualenv env source env/bin/activate pip install gunicorn pip install numpy easy_install -U distribute pip install matplotlib ``` Then, I make a requirements.txt by using `pip freeze > requirements.txt`. Here is the result: ``` argparse==1.2.1 distribute==0.7.3 gunicorn==17.5 matplotlib==1.3.0 nose==1.3.0 numpy==1.7.1 pyparsing==2.0.1 python-dateutil==2.1 six==1.3.0 tornado==3.1 wsgiref==0.1.2 ``` Problem happened when I try to deploy my application: ``` (env)gofrendi@kirinThor:~/kokoropy$ git push -u heroku Counting objects: 9, done. Delta compression using up to 2 threads. Compressing objects: 100% (5/5), done. Writing objects: 100% (5/5), 586 bytes, done. Total 5 (delta 3), reused 0 (delta 0) -----> Python app detected -----> No runtime.txt provided; assumin…

Accepted Answer

Finally I'm able to manage this.

First of all, I use this buildpack: https://github.com/dbrgn/heroku-buildpack-python-sklearn To use this buildpack I run this (maybe it is not a necessary step):

```
heroku config:set BUILDPACK_URL=https://github.com/dbrgn/heroku-buildpack-python-sklearn/
```

Then I change the requirements.txt into this:

```
argparse==1.2.1
distribute==0.6.24
gunicorn==17.5
wsgiref==0.1.2
numpy==1.7.0
matplotlib==1.1.0
scipy==0.11.0
scikit-learn==0.13.1
```

The most important part here is I install matplotlib 1.1.0 (currently the newest is 1.3.0). Some "deprecated numpy API" warnings might be occurred. But in my case it seems to be alright.

And here is the result (the page site might probably down since I use the free server one) http://kokoropy.herokuapp.com/example/plotting

Deploy matplotlib on heroku failed. How to do this correctly?

Solution

Problem