csaps | Cubic spline approximation | 3D Animation library

 by   espdev Python Version: 1.1.0 License: MIT

kandi X-RAY | csaps Summary

kandi X-RAY | csaps Summary

csaps is a Python library typically used in User Interface, 3D Animation, Numpy applications. csaps 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 csaps' or download it from GitHub, PyPI.

csaps is a Python package for univariate, multivariate and n-dimensional grid data approximation using cubic smoothing splines. The package can be useful in practical engineering tasks for data approximation and smoothing.
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            kandi-support Support

              csaps has a low active ecosystem.
              It has 125 star(s) with 19 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 21 have been closed. On average issues are closed in 5 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of csaps is 1.1.0

            kandi-Quality Quality

              csaps has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              csaps 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

              csaps 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 csaps and discovered the below as its top functions. This is intended to give you an instant insight into csaps implemented functionality, and help decide if they suit your requirements.
            • Compute the spline smoothing
            • Convert a NumPy array to a flattened flatten
            • Convert a ndarray to a canonical form
            • Return the product of x
            • Create a spline
            • Normalize x and w
            • Compute smooth
            • Wrapper for scipy s csaps
            • Prepare data vectors
            • Prepare the input data
            • Convert ndarray to 2d ndarray
            • Prepare data
            • Number of dimensions
            • Get long description
            • Get the version number
            Get all kandi verified functions for this library.

            csaps Key Features

            No Key Features are available at this moment for csaps.

            csaps Examples and Code Snippets

            No Code Snippets are available at this moment for csaps.

            Community Discussions

            QUESTION

            python, smoothing 2d plot ? , trend line?
            Asked 2021-Feb-04 at 12:58

            The first graph is plotted using original data, and 2nd one is drawn after applying moving average over 15 (days)

            I can keep increasing the window of moving average, but it sometimes changes the overal picture.

            Is there an another way of smoothing the line?

            ...

            ANSWER

            Answered 2021-Feb-04 at 12:58

            I was taught the following technique at uni for finding the trendline in biosignals (ppg, ecg, etc), by firstly applying a moving mean to the signal and then a Savitzky-Golay Smoothing Filter

            The code is below, I have used another moving average technique which i get along with more from here: How to calculate rolling / moving average using NumPy / SciPy?

            and the Savitzky-Golay filter from Scipy: https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.savgol_filter.html

            Source https://stackoverflow.com/questions/66040288

            QUESTION

            Update my plot each time parameters change
            Asked 2019-Mar-10 at 12:05

            using GUIDE I have now a programm whose output is a vector and a plot of its data. Because the plot has many little variations, I used the csaps function to get a smoothier plot. I want now to add a slider to my figure to change the smoothing parameter and I want that the plot to be updated each time the value of the slider changes. How can I do this? I found this on mathworks.com but I coudn't apply it to my case: https://de.mathworks.com/help/control/ref/stepplot.html .

            ...

            ANSWER

            Answered 2019-Mar-10 at 12:05

            Add callback to your slider. To do so in GUIDE press right mouse button on the slider and select view callbacks -> callback. It will create something like this in .m file of your GUIDE object:

            Source https://stackoverflow.com/questions/55086923

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

            Vulnerabilities

            No vulnerabilities reported

            Install csaps

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

            More examples of usage and the full documentation can be found at https://csaps.readthedocs.io.
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            Install
          • PyPI

            pip install csaps

          • CLONE
          • HTTPS

            https://github.com/espdev/csaps.git

          • CLI

            gh repo clone espdev/csaps

          • sshUrl

            git@github.com:espdev/csaps.git

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