dask-geopandas | Parallel GeoPandas with Dask | Architecture library

by geopandas Python Version: 0.3.1 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | dask-geopandas Summary

dask-geopandas is a Python library typically used in Architecture applications. dask-geopandas has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install dask-geopandas' or download it from GitHub, PyPI.

Parallel GeoPandas with Dask

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Quality

Security

License

Reuse

Support

dask-geopandas has a low active ecosystem.

It has 377 star(s) with 42 fork(s). There are 23 watchers for this library.

It had no major release in the last 12 months.

There are 52 open issues and 65 have been closed. On average issues are closed in 46 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dask-geopandas is 0.3.1

Quality

dask-geopandas has 0 bugs and 0 code smells.

Security

dask-geopandas has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dask-geopandas code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dask-geopandas is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

dask-geopandas releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

It has 4412 lines of code, 290 functions and 30 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed dask-geopandas and discovered the below as its top functions. This is intended to give you an instant insight into dask-geopandas implemented functionality, and help decide if they suit your requirements.

Return a dict containing the command - line arguments
Extract the version information from the VCS
Get the project root directory
Build a ConfigParser from a root
Read a Feather Dataset
Update meta data to a GeoDataFrame
Get the bounding box bound to the given schema
Create the versioneer config file
Install versioneer
Extract version information from VCS
Read metadata from files
Set the geometry to the given col
Set the index
Scans the setup py file and checks if it is missing
Bind property to partition
Propagate spatial partitions to a new object
Extract the metadata for each partition
Get partition bounds from parquet
Bind an element - wise operator method
The crs
Set the crs attribute of this dataset
Bind an elemwise comparison method
Write a DataFrame to a Pandas DataFrame
Convert a Pandas DataFrame to a pyarrow table
Get the geometry data
Write to a feather file

Get all kandi verified functions for this library.

dask-geopandas Key Features

No Key Features are available at this moment for dask-geopandas.

dask-geopandas Examples and Code Snippets

No Code Snippets are available at this moment for dask-geopandas.

Community Discussions

Trending Discussions on dask-geopandas

ModuleNotFoundError: No module named 'dask_geopandas'

QUESTION

ModuleNotFoundError: No module named 'dask_geopandas'

Asked 2021-Jul-29 at 13:52

i have dask, dask-core and dask geopandas installed as shown:

...

ANSWER

Answered 2021-Jul-29 at 13:52

This could happen if pip install and conda install installed packages in different paths (this typically happens when the conda environment does not have its own pip).

A simple way out of this is to install everything with conda, so in this case you would run the following within your conda environment:

Source https://stackoverflow.com/questions/68563530

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install dask-geopandas

You can install using 'pip install dask-geopandas' or download it from GitHub, PyPI.
You can use dask-geopandas 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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