hotstepper | A Numpy based step function library for analysis | Data Visualization library

 by   TangleSpace Python Version: 1.0.10 License: MIT

kandi X-RAY | hotstepper Summary

kandi X-RAY | hotstepper Summary

hotstepper is a Python library typically used in Analytics, Data Visualization, Numpy applications. hotstepper has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

The Hot Stepper library is for exploring datasets via step function expansions. It's all about tools that just work and no need for extensive knowledge of Pandas or Numpy or whatever, just HotStepper!. Albeit, knowledge of Pandas and Numpy is useful.
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            kandi-support Support

              hotstepper has a low active ecosystem.
              It has 8 star(s) with 0 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 2 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of hotstepper is 1.0.10

            kandi-Quality Quality

              hotstepper has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              hotstepper 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

              hotstepper releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed hotstepper and discovered the below as its top functions. This is intended to give you an instant insight into hotstepper implemented functionality, and help decide if they suit your requirements.
            • Plot steps
            • Get datetime from a timestamp
            • Return the start timestamp of the epoch
            • Return the first datetime
            • Plots the partial autocorrelation
            • Return the end of the epoch
            • Returns the cleaned step data for the given experiment
            • Compute the pacf of the lag matrix
            • Plot a rolling step
            • Wrapper function for rolling_function
            • Multip a rolling window of an array
            • Read data from an array
            • Add data to the model
            • Plot the autocorrelation function
            • Calculate the autocorrelation function
            • Returns a series of data
            • Clear the dataset
            • Compute the correlation coefficient
            • Add steps to the model
            • Download files from GitHub
            • Compute the tensorflow function
            • Convert steps to a pandas dataframe
            • Applies the given reduction function to the given steps
            • Return the data for the step
            • Denoise the model
            • Convert a floating point value to a date
            Get all kandi verified functions for this library.

            hotstepper Key Features

            No Key Features are available at this moment for hotstepper.

            hotstepper Examples and Code Snippets

            Step Functions,Ok, don't packup just yet.
            Pythondot img1Lines of Code : 46dot img1License : Permissive (MIT)
            copy iconCopy
                import matplotlib.pyplot as plt
                
                def fibo_sequence(n):
                    f0 = 0
                    fn = 1
            
                    for _ in range(n):
                        yield fn
                        f0, fn = fn, f0 + fn
            
                sequence_length = 8
                x = np.arange(0,8,1,dtype=int)
                y = np.  
            Installation
            Pythondot img2Lines of Code : 1dot img2License : Permissive (MIT)
            copy iconCopy
            pip install hotstepper
              

            Community Discussions

            Trending Discussions on hotstepper

            QUESTION

            Identify field in the git log
            Asked 2018-Mar-27 at 17:09

            I ran git log, and I see this:

            The line that says "hotstepper" was added to the commit message using this UI on Bitbucket:

            My question is - when using $ git log --pretty-format:, which field can I find the hotsteppper line? It does not appear to be on the subject line or sanitized_subject line.

            https://git-scm.com/docs/git-log

            ...

            ANSWER

            Answered 2018-Mar-27 at 17:09

            The commit message is divided into two parts, subject %s and body %b. They are separated by the first line that contains only whitespace.

            Source https://stackoverflow.com/questions/49518481

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

            Vulnerabilities

            No vulnerabilities reported

            Install hotstepper

            HotStepper can be installed from PyPI:.

            Support

            Everything (mostly) you want to know about HotStepper and making use in your workflow is here Read the Docs.
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/TangleSpace/hotstepper.git

          • CLI

            gh repo clone TangleSpace/hotstepper

          • sshUrl

            git@github.com:TangleSpace/hotstepper.git

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