<commit_before>{% set name = "dexplot" %}
{% set version = "0.1.2" %}

package:
  name: "{{ name|lower }}"
  version: "{{ version }}"

source:
  url: "https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz"
  sha256: 7d64a8d4c62105fc39b35b161f1e4e0821b4c0cc53f518d9d38cf544dae02d63

build:
  noarch: python
  number: 0
  script: "{{ PYTHON }} -m pip install . -vv"

requirements:
  host:
    - pip
    - python
  run:
    - python >=3.6
    - numpy >=1.15.0
    - matplotlib-base >=3.1.0
    - pandas >=0.24.0
    - scipy >=1.0.0

test:
  imports:
    - dexplot

about:
  home: https://dexplo.org/dexplot
  license: BSD-3-Clause
  license_family: BSD
  license_file: LICENSE
  summary: 'Powerful and intuitive data visualization library using matplotlib for both long and wide data'
  description: |
    Dexplot provides an easy-to-use, consistent approach to making insightful data
    visualizations in python. It gives its users tremendous power to create the exact
    plots they desire without trouble. Several apps are available to explore data
    in Jupyter Notebooks.
  doc_url: https://dexplo.org/dexplot
  dev_url: https://github.com/dexplo/dexplot

extra:<commit_msg>Dexplot conda-forge trying no-deps, thinking I need requirements.txt<commit_after>{% set name = "dexplot" %}
{% set version = "0.1.2" %}

package:
  name: "{{ name|lower }}"
  version: "{{ version }}"

source:
  url: "https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz"
  sha256: 7d64a8d4c62105fc39b35b161f1e4e0821b4c0cc53f518d9d38cf544dae02d63

build:
  noarch: python
  number: 0
  script: {{ PYTHON }} -m pip install . --no-deps -vv"

requirements:
  host:
    - pip
    - python
  run:
    - python >=3.6
    - numpy >=1.15.0
    - matplotlib-base >=3.1.0
    - pandas >=0.24.0
    - scipy >=1.0.0

test:
  imports:
    - dexplot

about:
  home: https://dexplo.org/dexplot
  license: BSD-3-Clause
  license_family: BSD
  license_file: LICENSE
  summary: 'Powerful and intuitive data visualization library using matplotlib for both long and wide data'
  description: |
    Dexplot provides an easy-to-use, consistent approach to making insightful data
    visualizations in python. It gives its users tremendous power to create the exact
    plots they desire without trouble. Several apps are available to explore data
    in Jupyter Notebooks.
  doc_url: https://dexplo.org/dexplot
  dev_url: https://github.com/dexplo/dexplot

extra:
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{'dir': 'git-commits-cleaned', 'id': '5738124', 'n_tokens_mistral': 956, 'n_tokens_neox': 894, 'n_words': 245}