Can't run pip install -r requirements.txt about ml-powered-applications HOT 5 CLOSED

I’m sorry you are having issues. The requirements file should install the necessary packages, which issues are you encountering?

from ml-powered-applications.

yes, I initial the env with pip install -r requirements. But it reports many errors, such as:
`Collecting matplotlib==3.0.3
Using cached https://mirrors.aliyun.com/pypi/packages/26/04/8b381d5b166508cc258632b225adbafec49bbe69aa9a4fa1f1b461428313/matplotlib-3.0.3.tar.gz (36.6 MB)
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [52 lines of output]
Traceback (most recent call last):
File "", line 2, in
File "", line 34, in
File "/tmp/pip-install-zanu5_as/matplotlib_2e4e6a9fbcbc467c99ec43ae9cb63e48/setup.py", line 225, in
msg = pkg.install_help_msg()
File "/tmp/pip-install-zanu5_as/matplotlib_2e4e6a9fbcbc467c99ec43ae9cb63e48/setupext.py", line 650, in install_help_msg
release = platform.linux_distribution()[0].lower()
AttributeError: module 'platform' has no attribute 'linux_distribution'
IMPORTANT WARNING:
pkg-config is not installed.
matplotlib may not be able to find some of its dependencies
============================================================================
Edit setup.cfg to change the build options

  BUILDING MATPLOTLIB
              matplotlib: yes [3.0.3]
                  python: yes [3.10.12 (main, Jun 11 2023, 05:26:28) [GCC
                          11.4.0]]
                platform: yes [linux]
  
  REQUIRED DEPENDENCIES AND EXTENSIONS
                   numpy: yes [version 1.25.1]
        install_requires: yes [handled by setuptools]
                  libagg: yes [pkg-config information for 'libagg' could not
                          be found. Using local copy.]
                freetype: no  [The C/C++ header for freetype2 (ft2build.h)
                          could not be found.  You may need to install the
                          development package.]
                     png: no  [pkg-config information for 'libpng' could not
                          be found.]
                   qhull: yes [pkg-config information for 'libqhull' could not
                          be found. Using local copy.]
  
  OPTIONAL SUBPACKAGES
             sample_data: yes [installing]
                toolkits: yes [installing]
                   tests: no  [skipping due to configuration]
          toolkits_tests: no  [skipping due to configuration]
  
  OPTIONAL BACKEND EXTENSIONS
                     agg: yes [installing]
                   tkagg: yes [installing; run-time loading from Python Tcl /
                          Tk]
                  macosx: no  [Mac OS-X only]
               windowing: no  [Microsoft Windows only]
  
  OPTIONAL PACKAGE DATA
                    dlls: no  [skipping due to configuration]
  
  ============================================================================
                          * The following required packages can not be built:
                          * freetype, png
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed`

from ml-powered-applications.

I see. Unfortunately I cannot provide a docker image at the moment but can help you debug in this thread. In this case it looks like the version of matplotlib that is requires is too old and relying on a deprecated package. You can fix this by unpinning the dependency and running pip install matplotlib.

from ml-powered-applications.

I can't run the requirement.txt file either.

My error message:
error in pandas setup command: 'install_requires' must be a string or list of strings containing valid project/version requirement specifiers; Expected end or semicolon (after version specifier) pytz >= 2011k

from ml-powered-applications.

@xingvoong this sounds like a different issue. The requirements.txt file does not include a pytz package, so I'm assuming this is an error in the pandas version. I'd try the same thing I recommended above, and run pip install pandas

from ml-powered-applications.