File: C:/Users/fred/anaconda3/pkgs/seaborn-0.13.2-py312haa95532_0/info/recipe/meta.yaml.template
{% set version = "0.13.2" %}
{% set name = "seaborn" %}
package:
name: {{ name }}
version: {{ version }}
source:
fn: {{ name }}-{{ version }}.tar.gz
url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
sha256: 93e60a40988f4d65e9f4885df477e2fdaff6b73a9ded434c1ab356dd57eefff7
build:
number: 0
skip: true # [py<38]
script: python -m pip install . --no-deps --ignore-installed --no-build-isolation
requirements:
build:
- {{ cdt('mesa-libgl') }} # [linux]
host:
- pip
- python
- flit-core >=3.2,<4
run:
- python
- numpy >=1.20,!=1.24.0
- matplotlib-base >=3.4,!=3.6.1
- pandas >=1.2
run_constrained:
- scipy >=1.7
- statsmodels >=0.12
test:
source_files:
- tests
imports:
- seaborn
- seaborn.colors
- seaborn.external
- seaborn.objects
commands:
- pip check
- pytest tests -vv
requires:
- pip
- pytest
- scipy >=1.7
- statsmodels >=0.12
# Re-adding matplotlib here so qt backend is used instead of tk to avoid `cannot find tcl` error
- matplotlib
about:
home: https://seaborn.pydata.org
license: BSD-3-Clause
license_family: BSD
license_file: LICENSE.md
summary: Statistical data visualization
description: |
Seaborn is a Python visualization library based on matplotlib. It
provides a high-level interface for drawing attractive statistical graphics.
dev_url: https://github.com/mwaskom/seaborn
doc_url: https://seaborn.pydata.org
extra:
recipe-maintainers:
- msarahan
- r-jain1
- croth1