hatched | Convert images to plotter-friendly hatched patterns

 by   plottertools Python Version: 0.2.0 License: MIT

kandi X-RAY | hatched Summary

kandi X-RAY | hatched Summary

hatched is a Python library. hatched 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 hatched' or download it from GitHub, PyPI.

Library and vpype plug-in to convert images to plotter-friendly, hatched patterns. Built with OpenCV, scikit-image, Shapely, matplotlib and svgwrite. You can reach the author Drawingbots's Discord server.
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            kandi-support Support

              hatched has a low active ecosystem.
              It has 54 star(s) with 5 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 4 have been closed. On average issues are closed in 166 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of hatched is 0.2.0

            kandi-Quality Quality

              hatched has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              hatched is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              hatched releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed hatched and discovered the below as its top functions. This is intended to give you an instant insight into hatched implemented functionality, and help decide if they suit your requirements.
            • Generate a hatch
            • Draw a hatch
            • Build a hatch from an image
            • Builds a diagonal matrix
            • Build a circular image
            • Load image from file
            • Save a SVG to a SVG file
            • Build a Polygon from a collection of linear rings
            • Plot a geom object
            • Plot a polygon
            Get all kandi verified functions for this library.

            hatched Key Features

            No Key Features are available at this moment for hatched.

            hatched Examples and Code Snippets

            hatched,Getting Started,Using with
            Pythondot img1Lines of Code : 30dot img1License : Permissive (MIT)
            copy iconCopy
            $ pip install git+https://github.com/plottertools/hatched.git#egg=hatched
            
            $ vpype hatched --help
            Usage: vpype hatched [OPTIONS] FILENAME
            
              Generate hatched pattern from an image.
            
              The hatches generated are in the coordinate of the input image. Fo  
            hatched,Getting Started,Using
            Pythondot img2Lines of Code : 5dot img2License : Permissive (MIT)
            copy iconCopy
            $ git clone https://github.com/plottertools/hatched.git
            $ cd hatched
            $ python3 -m venv venv
            $ source venv/bin/activate
            $ pip install -r requirements.txt
              
            hatched,Getting Started,Running the example
            Pythondot img3Lines of Code : 2dot img3License : Permissive (MIT)
            copy iconCopy
            $ cd examples
            $ python skull.py
              

            Community Discussions

            QUESTION

            Hatch an area in two colors with `pyplot.fill_between`
            Asked 2021-Jun-15 at 14:21

            I have a red and a blue area between some graphs. Where the two areas overlap, I want the area to be hatched in red and blue, i.e. red and blue stripes (like in the picture, but blue and red instead of white and red). So I want to pass the two colors by their color code onto the function. Is this possible with matplotlib.pyplot.fill_between? Or how could I do this?

            ...

            ANSWER

            Answered 2021-Jun-15 at 14:21

            You need to add the hatch argument to your function call to fill_between

            As you have not provided an example, it will look something like this:

            Source https://stackoverflow.com/questions/67984931

            QUESTION

            How to index a Matplotlib subplot
            Asked 2021-Apr-01 at 09:52

            Im trying to plot two piecharts together. I have been reading the Matplotlib documentation https://matplotlib.org/stable/gallery/pie_and_polar_charts/pie_demo2.htmland cannot see what im doing wrong. I'm getting an indexing error in line 13 (patches = axs[1,1].pie...)

            The code worked until I started using the axs[1,1] etc and tried to have the subplots.

            Code

            ...

            ANSWER

            Answered 2021-Apr-01 at 09:51

            Array axs is 1-dimensional, change axs[1,1] and axs[1,2] to axs[0] and axs[1], then your code will work.

            Source https://stackoverflow.com/questions/66901366

            QUESTION

            Locust with Python: No Locust Stats are showing on UI
            Asked 2021-Mar-18 at 19:26

            I am new to Locust (and Python) and am trying to load test an API. My Locust UI shows no stats whatsoever - no users hatched, no API calls, etc. I need help figuring out how to get them to show up on the UI so I can get the stats.

            Here is my locust.py file:

            ...

            ANSWER

            Answered 2021-Mar-18 at 19:26

            The stats not showing up in Locust is because of that Exception you posted. If you resolve that and get to where your code runs without issues, you should see stats in the Locust UI.

            There are a number of issues with your code.

            I'm not sure if it's just an issue with pasting your code into SO, but your on_start() and get_company_data() functions (and the @task decorator) need to be indented so they're part of FXTransaction.

            Also, trying to use self.client in login() or get_company_data() isn't going to work because they aren't part of a class so there's no such thing as self. You'd probably want to change self in that function to just client and then pass in self.client when you call it from the on_start() function.

            But what's possibly your main issue is here:

            Source https://stackoverflow.com/questions/66695633

            QUESTION

            Limiting Population Size while Hatching Additional Turtles
            Asked 2020-Dec-01 at 21:05

            I have a slider that controls population, set to the max value of 100, which creates 100 turtles in the nest. However, the number of turtles within a breed is independent of the total population, so instead of having 100 total turtles, I get 100 + #breed1 + #breed2. Additionally, I am hatching new turtles of breed [followers] and [foragers] during the course of the model. How do I get the turtles to die each time a new breed member is hatched? I know this is not a code problem, but ideally, I would like the new foragers to be the turtles that are in the nest, not just new turtles.

            ...

            ANSWER

            Answered 2020-Dec-01 at 21:05

            The easiest way to maintain a population is simply to ask a newly born turtle to kill a randomly selected turtle. So instead of:

            Source https://stackoverflow.com/questions/65083710

            QUESTION

            Multiple hatched areas with different hatch color using pcolor in matplotlib
            Asked 2020-Nov-24 at 14:57

            I'm trying to change the hatch color of a hatched area but nothing seems to be working.

            ...

            ANSWER

            Answered 2020-Nov-24 at 14:57

            Things to try:

            • use a ListedColormap with 'none' as color to make the facecolor invisible
            • use a linewidth of zero to suppress the lines between the cells

            Source https://stackoverflow.com/questions/64986547

            QUESTION

            fill between more than two curves matplotlib
            Asked 2020-Sep-15 at 07:11

            I want to fill between 3 lines in the following problem. Here's the code:

            ...

            ANSWER

            Answered 2020-Sep-15 at 06:28

            You could fill between zero and the minimum of the three curves:

            Source https://stackoverflow.com/questions/63895172

            QUESTION

            WPF. GeometryDrawing's Brush is always only Transparent
            Asked 2020-Aug-17 at 21:35

            Here is a test app that just shows a hatched ellipse in a window. No matter how I write it, the background of the ellipse is transparent; not the color I'm setting the GeometryDrawing. I'm stumped. The resulting picture shows the background of the ellipse as transparent when it should be Green.

            ...

            ANSWER

            Answered 2020-Aug-17 at 21:35

            There is no filled geometry that uses the GeometryDrawing's Brush.

            You may use a RectangleGeometry instead of two LineGeometries:

            Source https://stackoverflow.com/questions/63458845

            QUESTION

            Custom cross-hatched background shape or view in SwiftUI
            Asked 2020-Jul-30 at 05:43

            I am trying to create a shaded cross-hatched. But so far I can do it by adding a Image.

            How can I create a custom view in which lines will be drawn and not filled with a Image?

            ...

            ANSWER

            Answered 2020-Jul-29 at 16:13

            I'm not sure this is what you want, but CoreImage can generate a stripped pattern.

            Source https://stackoverflow.com/questions/63130755

            QUESTION

            System open file limit causing Locust error
            Asked 2020-Jul-07 at 07:29

            I have a question about Locust. I wrote simple script just to check if Locust work. It should check if I can login to app which I'm testing with phone number and password. I start it with command: locust -f LM.py --host=https://api... <-address of api to login

            ...

            ANSWER

            Answered 2020-Jul-07 at 00:49

            I think the error is coming from your using User instead of HttpUser in the UserBehavior class. See the quickstart.

            HttpUser provides self.client for each session: "Here we define a class for the users that we will be simulating. It inherits from HttpUser which gives each user a client attribute, which is an instance of HttpSession, that can be used to make HTTP requests to the target system that we want to load test."

            Also, you're using Locust 1.1 and task_set has been removed. From the 1.0 changelog:

            "The task_set attribute on the User class (previously Locust class) has been removed. To declare a User class with a single TaskSet one would now use the the tasks attribute instead:"

            Try this:

            Source https://stackoverflow.com/questions/62765586

            QUESTION

            How to get two legends using pandas plot, one for the colors of the stacked bars and one for the hatches of the bars?
            Asked 2020-May-04 at 15:56

            I have been trying to understand the answer of this post in order to populate two different legends.

            I create a clustered stacked bar plot with different hatches for each bar and my code below is a bit different from the answer of the aforementioned post.

            But I have not been able to figure out how to get one legend with the colors and one legend with the hatches.

            The color legend should correspond to A, B, C, D, E and the hatch legend should indicate "with" if bar is hatched and "without" if non-hatched.

            ...

            ANSWER

            Answered 2020-May-04 at 15:56

            I thought that this function solution by @jrjc is rather perplexing for my understanding and thus, I preferred to alter my own thing a little and adjust it.

            So, it took my some time to understand that when a second legend is created for a plot, python automatically erases the first one and this is when add_artist() must be employed.

            The other prerequisite in order to add the second legend is to name the plot and apply the .add_artist() method to that specific plot, so that python knows where to stick that new piece.

            In short, this is how I managed to create the plot I had in mind and I hope that the comments will make it somehow clearer and useful for anyone.

            Source https://stackoverflow.com/questions/61346340

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

            Vulnerabilities

            No vulnerabilities reported

            Install hatched

            You can install using 'pip install hatched' or download it from GitHub, PyPI.
            You can use hatched 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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            Install
          • PyPI

            pip install hatched

          • CLONE
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            https://github.com/plottertools/hatched.git

          • CLI

            gh repo clone plottertools/hatched

          • sshUrl

            git@github.com:plottertools/hatched.git

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