physt | Python histogram library - histograms | Data Visualization library

 by   janpipek Python Version: 0.6.0a4 License: MIT

kandi X-RAY | physt Summary

kandi X-RAY | physt Summary

physt is a Python library typically used in Analytics, Data Visualization, Numpy applications. physt has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However physt has 10 bugs. You can install using 'pip install physt' or download it from GitHub, PyPI.

P(i/y)thon h(i/y)stograms. Inspired (and based on) numpy.histogram, but designed for humans(TM) on steroids(TM). The goal is to unify different concepts of histograms as occurring in numpy, pandas, matplotlib, ROOT, etc. and to create one representation that is easily manipulated with from the data point of view and at the same time provides nice integration into IPython notebook and various plotting options. In short, whatever you want to do with histograms, physt aims to be on your side.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              physt has a low active ecosystem.
              It has 115 star(s) with 18 fork(s). There are 8 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 34 open issues and 35 have been closed. On average issues are closed in 333 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of physt is 0.6.0a4

            kandi-Quality Quality

              physt has 10 bugs (0 blocker, 0 critical, 10 major, 0 minor) and 73 code smells.

            kandi-Security Security

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

            kandi-License License

              physt 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

              physt 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, examples and code snippets are available.
              physt saves you 1415 person hours of effort in developing the same functionality from scratch.
              It has 3164 lines of code, 317 functions and 25 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed physt and discovered the below as its top functions. This is intended to give you an instant insight into physt implemented functionality, and help decide if they suit your requirements.
            • R Map a 2D histogram using matplotlib
            • Add axis labels to plot
            • Add a colorbar
            • Get histogram data
            • Fill missing values
            • Coerce the dtype to another
            • Force bin existence
            • Generate a geo map from a 2D histogram
            • Convert a histogram to GeoJSON
            • Construct a fixed width binning
            • Plot a polar map
            • Plot two histograms
            • Construct a radial histogram
            • Generate a globe map
            • Construct a new binning
            • Decorator to enable plotting
            • Plot a cylinder map
            • Generate a SphericalSurfaceHistogram
            • Line plot of 1D histogram
            • Decorator to register histograms
            • Map a histogram on a histogram
            • Draws a surface map
            • Generate a Cylindrical surface plot
            • Plot an image
            • Construct a SphericalHistogram
            • Scatter plot
            Get all kandi verified functions for this library.

            physt Key Features

            No Key Features are available at this moment for physt.

            physt Examples and Code Snippets

            No Code Snippets are available at this moment for physt.

            Community Discussions

            QUESTION

            Polar histogram in Python for given r, theta and z values
            Asked 2019-Mar-08 at 17:46

            I have a dataframe consisting of measurements from a particular magnetometer station over time, with columns corresponding to:

            • its latitude (which I think of as a radius)
            • its azimuthal angle
            • a measured quantity at this specific time

            I was wondering of a way to plot this dataframe as a polar histogram for the measured variable: ie something like this:

            I have looked at the special histogram in physt but this allows me to only put in x,y values and I'm quite confused by it all.

            Could anybody help?

            ...

            ANSWER

            Answered 2019-Mar-08 at 14:57

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

            Vulnerabilities

            No vulnerabilities reported

            Install physt

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

            I am looking for anyone interested in using / developing physt. You can contribute by reporting errors, implementing missing features and suggest new one.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            Install
          • PyPI

            pip install physt

          • CLONE
          • HTTPS

            https://github.com/janpipek/physt.git

          • CLI

            gh repo clone janpipek/physt

          • sshUrl

            git@github.com:janpipek/physt.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link