double_pendulum | Animations of random double pendulums | Data Visualization library

 by   narimiran Python Version: Current License: MIT

kandi X-RAY | double_pendulum Summary

kandi X-RAY | double_pendulum Summary

double_pendulum is a Python library typically used in Analytics, Data Visualization, Numpy applications. double_pendulum has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However double_pendulum build file is not available. You can download it from GitHub.

The code behind @pendulum_bot Twitter bot which posts animations of a double pendulum released from a random position to swing for 30 seconds.
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            kandi-support Support

              double_pendulum has a low active ecosystem.
              It has 118 star(s) with 15 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of double_pendulum is current.

            kandi-Quality Quality

              double_pendulum has 0 bugs and 0 code smells.

            kandi-Security Security

              double_pendulum has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              double_pendulum code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              double_pendulum 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

              double_pendulum releases are not available. You will need to build from source code and install.
              double_pendulum has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 491 lines of code, 30 functions and 6 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed double_pendulum and discovered the below as its top functions. This is intended to give you an instant insight into double_pendulum implemented functionality, and help decide if they suit your requirements.
            • Plot a set of systems .
            • Plots a single animation .
            • Compute the derivative of the covariance matrix .
            • Creates a list of perturbations .
            • Finds the next y and z of y z
            • Create a new Tweet .
            • Initialize the simulation .
            • Create a random double Pendulum .
            • Create a random example .
            • Generate random values .
            Get all kandi verified functions for this library.

            double_pendulum Key Features

            No Key Features are available at this moment for double_pendulum.

            double_pendulum Examples and Code Snippets

            No Code Snippets are available at this moment for double_pendulum.

            Community Discussions

            QUESTION

            Is np.linalg.solve() not working for AutoDiff?
            Asked 2020-Oct-29 at 21:01

            Does np.linalg.solve() not work for AutoDiff? I use is to solve manipulator equation. The error message is shown below. I try a similar "double" version code, it is no issue. Please tell me how to fix it, thanks!

            ...

            ANSWER

            Answered 2020-Oct-29 at 21:01

            Note that in pydrake, AutoDiffXd scalars are exposed to NumPy using dtype=object.

            There are some drawbacks to this approach, like what you have ran into now.
            This is not necessarily an issue with Drake, but a limitation on NumPy itself given the ufunc's that are implemented on the (super old) version that is on 18.04.

            To illustrate, here is what I see on Ubuntu 18.04, CPython 3.6.9, NumPy 1.13.3:

            Source https://stackoverflow.com/questions/64593813

            QUESTION

            name 'cc_library' is not defined
            Asked 2020-Oct-05 at 06:51

            Trying to build a C++ library in C++ and I've successfully confused myself

            tools/vector_gen.bzl

            ...

            ANSWER

            Answered 2020-Oct-05 at 06:51

            Inside a .bzl file the builtin definitions need to be qualified as native.cc_library

            Source https://stackoverflow.com/questions/64201175

            QUESTION

            Is Drake obeying joint limits in this case and how can I check?
            Asked 2020-Sep-17 at 17:27

            I'm trying to understand if Drake is following joint limits in this simple example.

            I have this URDF

            ...

            ANSWER

            Answered 2020-Sep-07 at 00:10

            Is Drake correctly obeying joint limits?

            Drake doesn't strictly obey the joint limits during simulation. It treats the joint limits as if a spring-damper system. When the joint exceeds the joint limits, the spring damper system applies a larger restoration force to push the joint back to within the joint limits.

            Is there a way to check this using the API and cout to the screen. Is there a way to read joint state from the simulation?

            You could use SignalLogger system, one example is in https://github.com/RobotLocomotion/drake/blob/9c30d5b73580616badd75905da7733ff64663bb8/examples/manipulation_station/joint_teleop.py#L118-L120, you could construct a SignalLogger, connect it to the robot state port, and after the simulation, you could read the logged robot state, similar to https://github.com/RobotLocomotion/drake/blob/9c30d5b73580616badd75905da7733ff64663bb8/examples/manipulation_station/joint_teleop.py#L157-L163

            Source https://stackoverflow.com/questions/63769864

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

            Vulnerabilities

            No vulnerabilities reported

            Install double_pendulum

            You can download it from GitHub.
            You can use double_pendulum 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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          • HTTPS

            https://github.com/narimiran/double_pendulum.git

          • CLI

            gh repo clone narimiran/double_pendulum

          • sshUrl

            git@github.com:narimiran/double_pendulum.git

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