Science Score: 46.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
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✓Academic publication links
Links to: zenodo.org -
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7 of 242 committers (2.9%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (17.7%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Python tools for geographic data
Basic Info
- Host: GitHub
- Owner: geopandas
- License: bsd-3-clause
- Language: Python
- Default Branch: main
- Homepage: http://geopandas.org/
- Size: 56.4 MB
Statistics
- Stars: 4,865
- Watchers: 104
- Forks: 981
- Open Issues: 437
- Releases: 38
Topics
Metadata Files
README.md
GeoPandas
Python tools for geographic data
Introduction
GeoPandas is a project to add support for geographic data to
pandas objects. It currently implements
GeoSeries and GeoDataFrame types which are subclasses of
pandas.Series and pandas.DataFrame respectively. GeoPandas
objects can act on shapely
geometry objects and perform geometric operations.
GeoPandas geometry operations are cartesian. The coordinate reference
system (crs) can be stored as an attribute on an object, and is
automatically set when loading from a file. Objects may be
transformed to new coordinate systems with the to_crs() method.
There is currently no enforcement of like coordinates for operations,
but that may change in the future.
Documentation is available at geopandas.org (current release) and Read the Docs (release and development versions).
The GeoPandas project uses an open governance model and is fiscally sponsored by NumFOCUS. Consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.
Install
See the installation docs for all details. GeoPandas depends on the following packages:
pandasshapelypyogriopyprojpackaging
Further, matplotlib is an optional dependency, required for plotting.
Those packages depend on several low-level libraries for geospatial analysis, which can be a challenge to install. Therefore, we recommend to install GeoPandas using the conda package manager. See the installation docs for more details.
Get in touch
- Ask usage questions ("How do I?") on StackOverflow or GIS StackExchange.
- Get involved in discussions on GitHub
- Report bugs, suggest features or view the source code on GitHub.
- For a quick question about a bug report or feature request, or Pull Request, head over to the gitter channel.
- For less well defined questions or ideas, or to announce other projects of interest to GeoPandas users, ... use the mailing list.
Examples
>>> import geopandas
>>> from shapely.geometry import Polygon
>>> p1 = Polygon([(0, 0), (1, 0), (1, 1)])
>>> p2 = Polygon([(0, 0), (1, 0), (1, 1), (0, 1)])
>>> p3 = Polygon([(2, 0), (3, 0), (3, 1), (2, 1)])
>>> g = geopandas.GeoSeries([p1, p2, p3])
>>> g
0 POLYGON ((0 0, 1 0, 1 1, 0 0))
1 POLYGON ((0 0, 1 0, 1 1, 0 1, 0 0))
2 POLYGON ((2 0, 3 0, 3 1, 2 1, 2 0))
dtype: geometry
Some geographic operations return normal pandas objects. The area property of a GeoSeries will return a pandas.Series containing the area of each item in the GeoSeries:
>>> print(g.area)
0 0.5
1 1.0
2 1.0
dtype: float64
Other operations return GeoPandas objects:
>>> g.buffer(0.5)
0 POLYGON ((-0.3535533905932737 0.35355339059327...
1 POLYGON ((-0.5 0, -0.5 1, -0.4975923633360985 ...
2 POLYGON ((1.5 0, 1.5 1, 1.502407636663901 1.04...
dtype: geometry
GeoPandas objects also know how to plot themselves. GeoPandas uses
matplotlib for plotting. To generate a plot of a
GeoSeries, use:
>>> g.plot()
GeoPandas also implements alternate constructors that can read any data format recognized by pyogrio. To read a zip file containing an ESRI shapefile with the boroughs boundaries of New York City (the example can be fetched using the geodatasets package):
>>> import geodatasets
>>> nybb_path = geodatasets.get_path('nybb')
>>> boros = geopandas.read_file(nybb_path)
>>> boros.set_index('BoroCode', inplace=True)
>>> boros.sort_index(inplace=True)
>>> boros
BoroName Shape_Leng Shape_Area \
BoroCode
1 Manhattan 359299.096471 6.364715e+08
2 Bronx 464392.991824 1.186925e+09
3 Brooklyn 741080.523166 1.937479e+09
4 Queens 896344.047763 3.045213e+09
5 Staten Island 330470.010332 1.623820e+09
geometry
BoroCode
1 MULTIPOLYGON (((981219.0557861328 188655.31579...
2 MULTIPOLYGON (((1012821.805786133 229228.26458...
3 MULTIPOLYGON (((1021176.479003906 151374.79699...
4 MULTIPOLYGON (((1029606.076599121 156073.81420...
5 MULTIPOLYGON (((970217.0223999023 145643.33221...
>>> boros['geometry'].convex_hull
BoroCode
1 POLYGON ((977855.4451904297 188082.3223876953,...
2 POLYGON ((1017949.977600098 225426.8845825195,...
3 POLYGON ((988872.8212280273 146772.0317993164,...
4 POLYGON ((1000721.531799316 136681.776184082, ...
5 POLYGON ((915517.6877458114 120121.8812543372,...
dtype: geometry
Owner
- Name: GeoPandas
- Login: geopandas
- Kind: organization
- Website: geopandas.org
- Twitter: geopandas
- Repositories: 12
- Profile: https://github.com/geopandas
GitHub Events
Total
- Create event: 8
- Release event: 1
- Issues event: 113
- Watch event: 347
- Delete event: 4
- Issue comment event: 359
- Push event: 81
- Pull request review comment event: 100
- Pull request event: 178
- Pull request review event: 168
- Fork event: 66
Last Year
- Create event: 8
- Release event: 1
- Issues event: 113
- Watch event: 347
- Delete event: 4
- Issue comment event: 359
- Push event: 81
- Pull request review comment event: 100
- Pull request event: 178
- Pull request review event: 168
- Fork event: 66
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Joris Van den Bossche | j****e@g****m | 408 |
| Martin Fleischmann | m****n@m****t | 277 |
| Kelsey Jordahl | k****l@a****u | 212 |
| Kelsey Jordahl | k****l@e****m | 171 |
| Matt Richards | 4****s | 99 |
| James McBride | j****r@g****m | 69 |
| Jacob Wasserman | j****n@g****m | 59 |
| Adrian Garcia Badaracco | 1****b | 23 |
| Alan D. Snow | a****1@g****m | 23 |
| Pieter Roggemans | p****s@g****m | 17 |
| Brendan Ward | b****d@a****m | 15 |
| Jeff Tratner | j****r@g****m | 14 |
| Matthew Perry | p****o@g****m | 13 |
| dependabot[bot] | 4****] | 13 |
| Nick Eubank | n****k@g****m | 13 |
| Mike Taves | m****s@g****m | 11 |
| Geir Arne Hjelle | g****e@g****m | 11 |
| Carson Farmer | c****r@g****m | 11 |
| Jeffrey Gerard | j****b@g****m | 10 |
| Ray Bell | r****0@g****m | 10 |
| Ewout ter Hoeven | E****n@s****l | 9 |
| Micah Cochran | m****n | 9 |
| rraymondgh | 4****h | 9 |
| mdbartos | m****s@g****m | 8 |
| Giacomo Caria | 4****a | 8 |
| Luke | l****7@g****m | 8 |
| Nicholas YS Tan | 3****n | 8 |
| Nick Eubank | n****k | 7 |
| sangarshanan | s****8@g****m | 7 |
| Flavin | f****j@g****m | 7 |
| and 212 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 375
- Total pull requests: 578
- Average time to close issues: 11 months
- Average time to close pull requests: 3 months
- Total issue authors: 240
- Total pull request authors: 120
- Average comments per issue: 4.15
- Average comments per pull request: 2.09
- Merged pull requests: 419
- Bot issues: 0
- Bot pull requests: 27
Past Year
- Issues: 75
- Pull requests: 147
- Average time to close issues: 26 days
- Average time to close pull requests: 19 days
- Issue authors: 63
- Pull request authors: 33
- Average comments per issue: 1.99
- Average comments per pull request: 1.08
- Merged pull requests: 106
- Bot issues: 0
- Bot pull requests: 9
Top Authors
Issue Authors
- martinfleis (48)
- jorisvandenbossche (30)
- m-richards (17)
- EwoutH (6)
- bretttully (6)
- snowman2 (4)
- Zeroto521 (4)
- brendan-ward (4)
- sebastic (3)
- theroggy (3)
- sehHeiden (3)
- stevenlis (2)
- phisan-chula (2)
- amine-aboufirass (2)
- naub1n (2)
Pull Request Authors
- martinfleis (174)
- jorisvandenbossche (132)
- m-richards (116)
- theroggy (29)
- nicholas-ys-tan (18)
- dependabot[bot] (16)
- star1327p (12)
- github-actions[bot] (11)
- JamesGardiner (9)
- kylebarron (8)
- raybellwaves (5)
- kaushiksrini (5)
- pre-commit-ci[bot] (5)
- bretttully (4)
- MrAlecJohnson (4)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 4
-
Total downloads:
- pypi 8,760,694 last-month
- Total docker downloads: 1,339,600
-
Total dependent packages: 1,090
(may contain duplicates) -
Total dependent repositories: 7,965
(may contain duplicates) - Total versions: 112
- Total maintainers: 2
pypi.org: geopandas
Geographic pandas extensions
- Homepage: https://geopandas.org
- Documentation: https://geopandas.readthedocs.io/
- License: BSD 3-Clause
-
Latest release: 1.1.1
published 8 months ago
Rankings
Maintainers (2)
proxy.golang.org: github.com/geopandas/geopandas
- Documentation: https://pkg.go.dev/github.com/geopandas/geopandas#section-documentation
- License: bsd-3-clause
-
Latest release: v1.1.1
published 8 months ago
Rankings
anaconda.org: geopandas
GeoPandas is an open source project to make working with geospatial data in python easier. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. Geometric operations are performed by shapely. Geopandas further depends on fiona for file access and descartes and matplotlib for plotting. The goal of GeoPandas is to make working with geospatial data in python easier. It combines the capabilities of pandas and shapely, providing geospatial operations in pandas and a high-level interface to multiple geometries to shapely. GeoPandas enables you to easily do operations in python that would otherwise require a spatial database such as PostGIS.
- Homepage: https://geopandas.org
- License: BSD-3-Clause
-
Latest release: 1.1.1
published 6 months ago
Rankings
anaconda.org: geopandas-base
GeoPandas is an open source project to make working with geospatial data in python easier. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. Geometric operations are performed by shapely. Geopandas further depends on fiona for file access and descartes and matplotlib for plotting. The goal of GeoPandas is to make working with geospatial data in python easier. It combines the capabilities of pandas and shapely, providing geospatial operations in pandas and a high-level interface to multiple geometries to shapely. GeoPandas enables you to easily do operations in python that would otherwise require a spatial database such as PostGIS.
- Homepage: https://geopandas.org
- License: BSD-3-Clause
-
Latest release: 1.1.1
published 6 months ago
Rankings
Dependencies
- actions/checkout v4 composite
- actions/create-release v1 composite
- actions/setup-python v4 composite
- actions/upload-release-asset v1 composite
- pypa/gh-action-pypi-publish release/v1 composite
- actions/checkout v4 composite
- actions/setup-python v4 composite
- codecov/codecov-action v3 composite
- mamba-org/setup-micromamba v1 composite
- pre-commit/action v3.0.0 composite
- actions/checkout v4 composite
- actions/setup-python v4 composite
- actions/upload-artifact v3 composite
- peter-evans/create-pull-request v5 composite
- psf/black stable composite
- geodatasets *
- sphinx-toggleprompt *
- fiona >= 1.8.21
- packaging *
- pandas >= 1.4.0
- pyproj >= 3.3.0
- shapely >= 2.0.0
- GeoAlchemy2 * development
- SQLAlchemy >=1.3 development
- black * development
- codecov * development
- fiona >=1.8.21 development
- geopy * development
- mapclassify * development
- matplotlib >=3.5.0 development
- packaging * development
- pandas >=1.4.0 development
- pre-commit * development
- psycopg2 >=2.8.0 development
- pyproj >=3.3.0 development
- pytest >=3.1.0 development
- pytest-cov * development
- shapely >=2.0.0 development