Shapely | Shapely - JavaScript canvas library | Graphics library

by lukehaas JavaScript Version: Current License: MIT

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kandi X-RAY | Shapely Summary

Shapely is a JavaScript library typically used in User Interface, Graphics, WebGL applications. Shapely has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i shapely-canvas' or download it from GitHub, npm.

It drastically reduces the code necessary for drawing shapes on the canvas, and has zero dependencies (including the DOM). To invoke Shapely, start by passing it a canvas context (or array of canvas contexts). From there you can start adding shapes. This example draws a circle, star, and rectangle on the canvas. Each shape instance receives basic size, position rotation, and opacity parameters, as well as a style object which includes parameters for fill and stroke colour and patterns, shadows, and gradients.

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Quality

Security

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Reuse

Support

Shapely has a low active ecosystem.

It has 52 star(s) with 21 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

Shapely has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Shapely is current.

Quality

Shapely has 0 bugs and 0 code smells.

Security

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

Shapely code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Shapely is licensed under the MIT License. This license is Permissive.

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

Reuse

Shapely releases are not available. You will need to build from source code and install.

Deployable package is available in npm.

Installation instructions are not available. Examples and code snippets are available.

Shapely saves you 75 person hours of effort in developing the same functionality from scratch.

It has 193 lines of code, 0 functions and 2 files.

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

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Shapely Key Features

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Shapely Examples and Code Snippets

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Community Discussions

Trending Discussions on Shapely

join unordered pairs of connected edges using numpy only

Polygon to binary mask

How to efficiently filter rows from geopandas df that are not within the bounds of a shapely polygon?

RecursionError: maximum recursion depth exceeded in comparison while working with pandas

Create Shapely Polygon around labelled coordinates

Dissolve GeoDataFrame geometries into single-part Polygons

How to create a tuple of types?

How to append items to a list while testing that item against list with if conditions

Getting TypeError: argument of type 'CRS' is not iterable with OSMnx Package

Plotly: How to use two color scales in a single plotly map figure?

QUESTION

join unordered pairs of connected edges using numpy only

Asked 2021-Jun-15 at 08:27

I have a concave hull (not convex) that I have the points for eg: A,B,C,D,E. I've gotten the pairs of points that make up the outer edges. [A,B],[A,E],[C,D],[B,C],[E,D]. (This is a very simplified version)

I want to get the connected points in order (CW or CCW doesn't matter) so I can use them as a contour.

But the pairs are not ordered, you can see A goes to B, then A goes to E, etc. The only solution I had was searching for each point and its next pair sequentially in a loop

Is there a way to solve this using numpy only in a vectorized manner so that its fast for a large array of edges? I know shapely exists but I have trouble installing it and I'd prefer no external dependancies

this is my code:

...

ANSWER

Answered 2021-Jun-15 at 08:27

You can do this efficiently with a dictionary:

Source https://stackoverflow.com/questions/67975951

QUESTION

Polygon to binary mask

Asked 2021-Jun-04 at 08:56

I've made a polygon using shapely.geometry, then put it into a geopandas dataframe. I've made an array with the same size as the polygon zone

How can I turn this polygon into a binary mask, so I can shape my array as a polygon too?

Thanks for your time.

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ANSWER

Answered 2021-Jun-04 at 08:56

I figured it out. Not the most efficient method but it worked.

First I make a mask on the grid, with False on data that is not in the polygon (using contains method). Second I multiply the array by that mask, then take 0 as NaNs.

Here is an example of my code :

Source https://stackoverflow.com/questions/67617536

QUESTION

How to efficiently filter rows from geopandas df that are not within the bounds of a shapely polygon?

Asked 2021-Jun-03 at 12:06

I have a regular pandas dataframe that i do a one time conversion to geopandas like so

...

ANSWER

Answered 2021-Jun-03 at 12:06

As a first step, as you already mentioned in your comment, your code can be simplified like so:

Source https://stackoverflow.com/questions/67780823

QUESTION

RecursionError: maximum recursion depth exceeded in comparison while working with pandas

Asked 2021-Jun-01 at 16:40

I am working with some geodata. I want to get a point object from the latitude and longitude that I already have. My code looks as follows:

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ANSWER

Answered 2021-Jun-01 at 16:40

When adding a geometry column, looping and setting each value individually is usually a bad idea (slow) so you probably want to do it like this:

Source https://stackoverflow.com/questions/67792369

QUESTION

Create Shapely Polygon around labelled coordinates

Asked 2021-May-27 at 15:28

I have a pandas dataframe of buildings in a city. The buildings have a latitude and longitude column and are grouped into separate management locations.

I've managed to create a geopandas dataframe with a 'geometry' column of shapely Points for each building and plot those on a map with separate colour for each management location. However is there a way to group the geodataframe by management location and have the 'geometry' column as a shapely Polygon encompassing the points corresponding to each building within each management location?

I currently have:

...

ANSWER

Answered 2021-May-27 at 15:28

You can use the GeoDataFrame's dissolve function to "fuse" all the points in the groups and then use the convex_hull attribute to extract the polygon surrounding all the grouped/fused/dissolved points.

Here's a small reproducible example:

Source https://stackoverflow.com/questions/67437395

QUESTION

Dissolve GeoDataFrame geometries into single-part Polygons

Asked 2021-May-24 at 08:54

I have the following function which generates a GeoDataFrame containing randomly sized polygons, each of which belong to a class label:

...

ANSWER

Answered 2021-May-24 at 08:54

You can get individual parts of resulting MultiPolygons via explode().

Source https://stackoverflow.com/questions/67643413

QUESTION

How to create a tuple of types?

Asked 2021-May-14 at 09:51

I want to compare the type of a value from an incoming bytestream and want to do an operation based on its type and I would like to use the isinstance() method to do this efficiently.

But I am not sure what's the pythonic way to create a tuple of standard datatypes or something like shapely geometry types.

For example, I am doing something as follows:

...

ANSWER

Answered 2021-May-14 at 09:51

You can use the types directly, ie

Source https://stackoverflow.com/questions/67527214

QUESTION

How to append items to a list while testing that item against list with if conditions

Asked 2021-May-14 at 03:19

I am adding randomly generated points to a list if it is contained within a specified polygon until I have the number of points I require:

...

ANSWER

Answered 2021-May-14 at 03:16

You're not testing all the points, you're adding to points for each point that it's more than 60 units away from (except that j isn't actually a Point, it's the index in the list).

Use the all() function to test if it's more than 60 from all the existing elements of points.

Source https://stackoverflow.com/questions/67528565

QUESTION

Getting TypeError: argument of type 'CRS' is not iterable with OSMnx Package

Asked 2021-May-13 at 04:04

This question appears to have been answered before, but none of the answers helped in my case. First I should say that I've followed the OSMnx Installation steps exactly. Then tried to run the following code in a Jupyter Notebook:

...

ANSWER

Answered 2021-May-13 at 04:04

You have installed an extremely old version of OSMnx. Your conda list output shows you have version 0.7.3 installed, and that was released 3 or 4 years ago. It's so old that it's incompatible with the modern features of GeoPandas and pyproj, including the modern CRS object that's causing your error. I'm not clear how you did it! My best guess is you installed using one of the old tags on this page, which do point to version 0.7.3.

This should be fixed by removing the old environment and then following the installation instructions here, like:

Source https://stackoverflow.com/questions/67510332

QUESTION

Plotly: How to use two color scales in a single plotly map figure?

Asked 2021-May-12 at 22:16

I want to plot a scatter_mapbox plot over a choropleth_mapbox plot using plotly. I want to use Picnic for the scatter_mapbox plot's color scale. When I run this, the scatter_mapbox colorscale is set to the same properties as the choropleth_mapbox properties. Namely, it uses the color scale Viridis instead of Picnic and uses the choropleth's numerical scale. How can I make the the colorscale for the scatterplot Picnic.

...

ANSWER

Answered 2021-May-12 at 22:16

If this is what you're aiming to do:

Then follow these steps in addition to what you're already doing:

1. Steal the coloraxis from fig2 where color='Picnic' to fig with:

Source https://stackoverflow.com/questions/67504743

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

Vulnerabilities

No vulnerabilities reported

Install Shapely

You can install using 'npm i shapely-canvas' or download it from GitHub, npm.

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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