shapely | Manipulation and analysis of geometric objects

 by   shapely Python Version: 2.0rc3 License: BSD-3-Clause

kandi X-RAY | shapely Summary

kandi X-RAY | shapely Summary

shapely is a Python library. shapely has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install shapely' or download it from GitHub, PyPI.

Manipulation and analysis of geometric objects

            kandi-support Support

              shapely has a medium active ecosystem.
              It has 3289 star(s) with 531 fork(s). There are 87 watchers for this library.
              There were 2 major release(s) in the last 6 months.
              There are 192 open issues and 857 have been closed. On average issues are closed in 68 days. There are 22 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of shapely is 2.0rc3

            kandi-Quality Quality

              shapely has no bugs reported.

            kandi-Security Security

              shapely has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              shapely 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.

            kandi-Reuse Reuse

              shapely releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

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            shapely Key Features

            Manipulation and analysis of geometric objects

            shapely Examples and Code Snippets

            Importing GeoJSON polygons using Shapely
            Pythondot img1Lines of Code : 0dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            import sqlite3
            conn = sqlite3.connect("places.db")
            # Enable SpatialLite extension
            # Create the masic countries table
            conn.execute("select InitSpatialMetadata(  
            Spatial pie chart using geopandas
            Pythondot img2Lines of Code : 52dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import geopandas as gpd
            import numpy as np
            import shapely
            import matplotlib.pyplot as plt
            states = (
            How to draw random points from KML Multigeometry or at least Polygons?
            Pythondot img3Lines of Code : 18dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
  ['KML'] = 'rw'
            some_map = gpd.read_file(fr'some_map.kml', driver='KML')
            def getRandomPoint(map: gpd.geodataframe.GeoDataFrame) -> Tuple[float, float]:
                def generateRandomPointOfBox
            How to create buffer spaces in meters around linestring line in kml using Python?
            Pythondot img4Lines of Code : 4dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            How to create buffer spaces in meters around linestring line in kml using Python?
            Pythondot img5Lines of Code : 44dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from shapely.geometry import LineString, CAP_STYLE
            from pyproj import Transformer
            from shapely.ops import transform
            import simplekml
            # pick 2 end points of a line with longitude and latitude
            pt1 = [-0.14062046656000524, 51.501870264040775
            Is there a way to save interpolated values to a python dataframe?
            Pythondot img6Lines of Code : 13dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            df = pd.DataFrame({
                'latitude': lat_grid.reshape(-1),
                'longitude': lon_grid.reshape(-1),
                'value': grid_cubic.reshape(-1)
            import matplotlib.pyplot as plt
            "ConvexHull", "alpha_shape" in python generate different area values why?
            Pythondot img7Lines of Code : 28dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            data = np.array(data)
            center = data.mean(0)
            angle = np.arctan2(*(data - center).T[::-1])
            index = np.argsort(angle)
            polygon2 = Polygon(data[index])
            fig, ax = plt.subplots(1, 2)
            How to see city map when ploting with Geopandas lib
            Pythondot img8Lines of Code : 36dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from pathlib import Path
            import pandas as pd
            import geopandas as gpd
            import shapely
            import folium
            # downloaded data
            df = pd.read_csv(
                names=["ID", "Date,Time", "E", "N", "Out
            find nested boxes from huge dataset with geopandas (or other tools)
            Pythondot img9Lines of Code : 72dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            %timeit gdf["within"] = gdf.apply(within, args=(gdf,), axis=1)
            print(f"""number of polygons: {len(gdf)}
            number kept: {len(gdf.loc[lambda d: ~d["within"]])}
            2.37 s ± 118 ms per loop (mean ± std. dev. of 7 runs,
            Convert scipy interpolation map to .tiff file and save to directory
            Pythondot img10Lines of Code : 22dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            xres = lon_vec[1]-lon_vec[0]
            yres = lat_vec[1]-lat_vec[0]
            from rasterio.transform import Affine
            transform = Affine.translation(lon_vec[0] - xres / 2, lat_vec[0] - yres / 2) * Affine.scale(xres, yres)

            Community Discussions

            No Community Discussions are available at this moment for shapely.Refer to stack overflow page for discussions.

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


            No vulnerabilities reported

            Install shapely

            You can install using 'pip install shapely' or download it from GitHub, PyPI.
            You can use shapely 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.


            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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          • PyPI

            pip install shapely

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          • CLI

            gh repo clone shapely/shapely

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