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meta.yaml
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meta.yaml
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{% set name = "eomaps" %}
{% set version = "8.3.1" %}
package:
name: {{ name|lower }}
version: {{ version }}
source:
url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/eomaps-{{ version }}.tar.gz
sha256: a7018f55f77f4d3b70be28ba6139ec6877aed513d03aa595872d1d943f0afaf1
build:
number: 0
noarch: python
script: {{ PYTHON }} -m pip install . -vv
entry_points:
- eomaps = eomaps.scripts.open:cli
requirements:
host:
- pip
- python >=3.8
- setuptools
run:
- python >=3.8
- numpy
- scipy
- matplotlib >=3.4
- cartopy >=0.20.0
- pyproj
- packaging
- click
- pandas
- geopandas
- mapclassify
- datashader
- owslib
- requests
- qtpy
test:
imports:
- eomaps
commands:
- pip check
requires:
- pip
about:
home: https://github.com/raphaelquast/EOmaps
summary: A python package to create interactive maps of geographical datasets.
license: BSD-3-Clause
license_file: LICENSE
description: |
EOmaps is a python package to visualize and analyze geographical datasets.
It aims to provide a comprehensive, flexible, well-documented and easy-to-use API
to create publication-ready maps that can directly be used for interactive data analysis.
EOmaps is built on top of matplotlib and cartopy and integrates well with the scientific
python infrastructure (e.g., numpy, pandas, geopandas, xarray etc.), allowing you to
visualize point-, raster- or vector-datasets provided in almost any format you can imagine,
no matter if you're dealing with just a few unsorted datapoints or multi-dimensional stacks
of global high-resolution datasets.
Figures created with EOmaps are multi-layered, so you can (transparently) overlay and
interactively compare your datasets with ease. With the accompanying GUI widget, you can
quickly switch layers, change the layout, examine the large collection of features and
web-map services, and explore the capabilities of EOmaps. Once you're map is ready, you
can export it as high-resolution image or vector-graphic for further editing.
Leveraging the powers of matplotlib, you can also embed interactive maps in
Jupyter Notebooks, on a webpage or in GUI frameworks like Qt, tkinter etc..
Check the documentation for more details & examples!
doc_url: https://eomaps.readthedocs.io/
dev_url: https://github.com/raphaelquast/EOmaps
extra:
recipe-maintainers:
- raphaelquast