spatialpandas | Pandas extension arrays for spatial/geometric operations | Map library
kandi X-RAY | spatialpandas Summary
kandi X-RAY | spatialpandas Summary
spatialpandas is a Python library typically used in Geo, Map, Pandas applications. spatialpandas has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However spatialpandas has 3 bugs. You can install using 'pip install spatialpandas' or download it from GitHub, PyPI.
Pandas extension arrays for spatial/geometric operations
Pandas extension arrays for spatial/geometric operations
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Quality
Security
License
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Support
spatialpandas has a low active ecosystem.
It has 269 star(s) with 22 fork(s). There are 24 watchers for this library.
It had no major release in the last 12 months.
There are 10 open issues and 34 have been closed. On average issues are closed in 97 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of spatialpandas is 0.4.9rc1
Quality
spatialpandas has 3 bugs (0 blocker, 0 critical, 3 major, 0 minor) and 61 code smells.
Security
spatialpandas has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
spatialpandas code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
spatialpandas is licensed under the BSD-2-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
spatialpandas releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
spatialpandas saves you 2561 person hours of effort in developing the same functionality from scratch.
It has 5761 lines of code, 524 functions and 55 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed spatialpandas and discovered the below as its top functions. This is intended to give you an instant insight into spatialpandas implemented functionality, and help decide if they suit your requirements.
- Construct the Hilbert distance matrix for the given bounds
- Calculate the distance from the given coordinate
- Compute the distance between two bounding boxes
- Calculate the distance between two coordinates
- Joins two DataFrames
- Join two pandas objects
- Joins two Dask objects
- Records a new index column
- Fill missing values
- Return a copy of the mesh
- Checks if the given shape contains the given shape
- Returns True if the given shape is the intersection of the given shape
- Returns True if the bounding box intersects the given bounds
- Returns True if points intersects the given bounds
- Returns a boolean array that intersects the given bounds
- Return a Polygon oriented Polygon
- Calculate the Hilbert - distance between the bounding box
- Returns True if the bounding box intersects the bounding box
- Returns True if the buffer intersects the given bounds
- Return the area of the geometry
- Determine if a bounding box intersects the given bounds
- Length of the geometry
- The bounding box of the array
- Return the area of the geometry map
- Convert to GeoDataFrame
- Return the length of the geometry
Get all kandi verified functions for this library.
spatialpandas Key Features
No Key Features are available at this moment for spatialpandas.
spatialpandas Examples and Code Snippets
No Code Snippets are available at this moment for spatialpandas.
Community Discussions
Trending Discussions on spatialpandas
QUESTION
Datashader: categorical colormapping of GeoDataFrames
Asked 2021-Jul-13 at 20:25
Installed packages
datashader 0.13.0, holoviews 1.14.4, geoviews 1.9.1., bokeh 2.3.2.
What I'm trying to doI'm trying to recreate a choropleth map with one color mapped to one category in a large GeoDataFrame using Datashader, following this example in the Pipeline page and this as well as this SO, which all differ slightly in their syntax, and all use points as the example, rather than polygons.
Reproducible code sampleBelow a small sample of the full dataset.
...ANSWER
Answered 2021-Jul-13 at 20:25Try agg=ds.by('category', ds.any()), which will ignore polygons that overlap in any pixel. ds.count_cat('category') is now an alias for ds.by('category', ds.count()), but as of Datashader 0.12.1 you are no longer limited to just count, and can e.g. use any to discard information about overlaps.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install spatialpandas
You can install using 'pip install spatialpandas' or download it from GitHub, PyPI.
You can use spatialpandas like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use spatialpandas like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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