https://github.com/dahnj/h3-pandas

Integration of H3 with GeoPandas and Pandas

Science Score: 26.0%

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Scientific vocabulary similarity
Low similarity (11.1%) to scientific vocabulary

Keywords

geopandas geospatial h3 h3-pandas hexagons-are-bestagons pandas pyhon

Last synced: 5 months ago · JSON representation

Repository

Integration of H3 with GeoPandas and Pandas

Basic Info

Host: GitHub
Owner: DahnJ
License: mit
Language: Jupyter Notebook
Default Branch: main
Homepage: http://h3-pandas.readthedocs.io/
Size: 12.3 MB

Statistics

Stars: 220
Watchers: 5
Forks: 20
Open Issues: 12
Releases: 14

Topics

geopandas geospatial h3 h3-pandas hexagons-are-bestagons pandas pyhon

Created almost 5 years ago · Last pushed 12 months ago

Metadata Files

Readme License

H3-Pandas ⬢ 🐼

Integrates H3 with GeoPandas and Pandas.

Installation

pip

bash pip install h3pandas

conda

bash conda install -c conda-forge h3pandas

Usage examples

H3 API

h3pandas automatically applies H3 functions to both Pandas Dataframes and GeoPandas Geodataframes

```python

Prepare data

import pandas as pd import h3pandas df = pd.DataFrame({'lat': [50, 51], 'lng': [14, 15]}) ```

```python

resolution = 10 df = df.h3.geotoh3(resolution) df

| h3_10 | lat | lng | |:----------------|------:|------:| | 8a1e30973807fff | 50 | 14 | | 8a1e2659c2c7fff | 51 | 15 |

df = df.h3.h3togeo_boundary() df

| h3_10 | lat | lng | geometry | |:----------------|------:|------:|:----------------| | 8a1e30973807fff | 50 | 14 | POLYGON ((...)) | | 8a1e2659c2c7fff | 51 | 15 | POLYGON ((...)) | ```

H3-Pandas Extended API

h3pandas also provides some extended functionality out-of-the-box, often simplifying common workflows into a single command.

```python

Set up data

import numpy as np import pandas as pd np.random.seed(1729) df = pd.DataFrame({ 'lat': np.random.uniform(50, 51, 100), 'lng': np.random.uniform(14, 15, 100), 'value': np.random.poisson(100, 100)}) }) ```

```python

Aggregate values by their location and sum

df = df.h3.geotoh3_aggregate(3) df

| h3_03 | value | geometry | |:----------------|--------:|:----------------| | 831e30fffffffff | 102 | POLYGON ((...)) | | 831e34fffffffff | 189 | POLYGON ((...)) | | 831e35fffffffff | 8744 | POLYGON ((...)) | | 831f1bfffffffff | 1040 | POLYGON ((...)) |

Aggregate to a lower H3 resolution

df.h3.h3toparent_aggregate(2)

| h3_02 | value | geometry | |:----------------|--------:|:----------------| | 821e37fffffffff | 9035 | POLYGON ((...)) | | 821f1ffffffffff | 1040 | POLYGON ((...)) | ```

Further examples

For more examples, see the example notebooks.

API

For a full API documentation and more usage examples, see the documentation.

Development

H3-Pandas cover the basics of the H3 API, but there are still many possible improvements.

Any suggestions and contributions are very welcome!

In particular, the next steps are: - [ ] Improvements & stability of the "Extended API", e.g. k_ring_smoothing.

Additional possible directions - [ ] Allow for alternate h3-py APIs such as memview_int - [ ] Performance improvements through Cythonized h3-py - [ ] Dask integration through dask-geopandas (experimental as of now)

See issues for more.

Owner

Name: Daniel Jahn (dahn)
Login: DahnJ
Kind: user
Location: null island (epsg:3068)
Company: @SylveraIO

Twitter: dahnjahn
Repositories: 5
Profile: https://github.com/DahnJ

If it has coordinates, then I'm up for it

GitHub Events

Total

Create event: 6
Release event: 1
Issues event: 4
Watch event: 15
Delete event: 9
Issue comment event: 9
Push event: 7
Pull request review event: 1
Pull request event: 10
Fork event: 2

Last Year

Create event: 6
Release event: 1
Issues event: 4
Watch event: 15
Delete event: 9
Issue comment event: 9
Push event: 7
Pull request review event: 1
Pull request event: 10
Fork event: 2

Committers

Last synced: 9 months ago

All Time

Total Commits: 146
Total Committers: 4
Avg Commits per committer: 36.5
Development Distribution Score (DDS): 0.048

Past Year

Commits: 4
Committers: 1
Avg Commits per committer: 4.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
dahn	d**n@g**m	139
Richard Law	l**r@l**z	4
RichardScottOZ	7****Z	2
Florian Neukirchen	m**l@r**e	1

Committer Domains (Top 20 + Academic)

riannek.de: 1 landcareresearch.co.nz: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 20
Total pull requests: 24
Average time to close issues: 8 months
Average time to close pull requests: 5 days
Total issue authors: 15
Total pull request authors: 5
Average comments per issue: 1.6
Average comments per pull request: 0.46
Merged pull requests: 22
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 2
Pull requests: 10
Average time to close issues: 3 months
Average time to close pull requests: 4 days
Issue authors: 2
Pull request authors: 2
Average comments per issue: 2.0
Average comments per pull request: 0.8
Merged pull requests: 8
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

DahnJ (6)
benmcdermott (1)
csetzkorn (1)
bwcastillo (1)
rfc-hv (1)
JoaoCarabetta (1)
KoalaGeo (1)
diehl (1)
ioalexei (1)
CarlaFernandez (1)
rejexx (1)
alpha-beta-soup (1)
MathewBiddle (1)
johnziebro (1)
hsbsid (1)

Pull Request Authors

DahnJ (17)
MathewBiddle (2)
RichardScottOZ (2)
alpha-beta-soup (1)
florianneukirchen (1)

Top Labels

Issue Labels

enhancement (6) good first issue (1)

Pull Request Labels

Packages

Total packages: 2
Total downloads:
- pypi 19,051 last-month

Total dependent packages: 4
(may contain duplicates)
Total dependent repositories: 5
(may contain duplicates)
Total versions: 16
Total maintainers: 1

pypi.org: h3pandas

Integration of H3 and GeoPandas

Homepage: https://github.com/DahnJ/H3-Pandas
Documentation: https://h3pandas.readthedocs.io/
License: MIT License Copyright (c) 2021 Dahn Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Latest release: 0.3.0
published 12 months ago

Versions: 14
Dependent Packages: 4
Dependent Repositories: 5
Downloads: 19,051 Last month

Rankings

Dependent packages count: 2.4%

Downloads: 2.6%

Stargazers count: 5.3%

Average: 5.3%

Dependent repos count: 6.6%

Forks count: 9.6%

Maintainers (1)

DahnJ

Last synced: 6 months ago

conda-forge.org: h3pandas

Homepage: https://github.com/DahnJ/H3-Pandas
License: MIT
Latest release: 0.2.3
published about 4 years ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Stargazers count: 30.4%

Dependent repos count: 39.4%

Average: 41.6%

Forks count: 44.9%

Dependent packages count: 51.6%

Last synced: 5 months ago

Dependencies

docs/requirements.txt pypi

Sphinx ==3.5.4
geopandas ==0.9.
h3 ==3.7.
nbsphinx *
numpy ==1.20.
numpydoc ==1.1.0
pandas ==1.2.
pydata-sphinx-theme ==0.6.3
shapely ==1.7.
typing-extensions ==3.10.

environment.yml pypi

h3 ==3.7.6

setup.py pypi

geopandas *
h3 *
numpy *
pandas *
shapely *
typing-extensions *

https://github.com/dahnj/h3-pandas

Science Score: 26.0%

Keywords

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

H3-Pandas ⬢ 🐼

⬢ Try it out ⬢

Installation

pip

conda

Usage examples

H3 API

Prepare data

H3-Pandas Extended API

Set up data

Aggregate values by their location and sum

Aggregate to a lower H3 resolution

Further examples

API

Development

Owner

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: h3pandas

Rankings

Maintainers (1)

conda-forge.org: h3pandas

Rankings

Dependencies