calmap | Calendar heatmaps from Pandas time series data -- See | Calendar library

 by   martijnvermaat Python Version: v0.0.6 License: MIT

kandi X-RAY | calmap Summary

kandi X-RAY | calmap Summary

calmap is a Python library typically used in User Interface, Calendar applications. calmap 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.

Calendar heatmaps from Pandas time series data -- See https://github.com/MarvinT/calmap/ for the maintained version
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            kandi-support Support

              calmap has a low active ecosystem.
              It has 201 star(s) with 57 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 12 have been closed. On average issues are closed in 912 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of calmap is v0.0.6

            kandi-Quality Quality

              calmap has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              calmap 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

              calmap releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              It has 785 lines of code, 30 functions and 6 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed calmap and discovered the below as its top functions. This is intended to give you an instant insight into calmap implemented functionality, and help decide if they suit your requirements.
            • Plot a timeseries
            • Plot a year chart
            Get all kandi verified functions for this library.

            calmap Key Features

            No Key Features are available at this moment for calmap.

            calmap Examples and Code Snippets

            No Code Snippets are available at this moment for calmap.

            Community Discussions

            QUESTION

            How to draw a heatmap using calmap with the colorbar on the ax?
            Asked 2021-Apr-01 at 04:10

            I have a pandas df as follows:

            ...

            ANSWER

            Answered 2021-Apr-01 at 04:10

            There was a great answer here, but it was a year plot. I tried to see if I could do the same thing with the calendar plot you wanted, but without success. So I made a few changes in the year plot and wrote the code in the calendar plot style.

            Source https://stackoverflow.com/questions/66897752

            QUESTION

            Merge pandas dataframe with dataframe from csv
            Asked 2020-Jun-09 at 23:30

            I have a csv file where each row has a date yyyy-MM-dd and a count (e.g. 1, 2, 6).

            ...

            ANSWER

            Answered 2020-Jun-09 at 23:30

            Can you try pass Series

            Source https://stackoverflow.com/questions/62293430

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

            Vulnerabilities

            No vulnerabilities reported

            Install calmap

            You can download it from GitHub.
            You can use calmap 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://github.com/martijnvermaat/calmap.git

          • CLI

            gh repo clone martijnvermaat/calmap

          • sshUrl

            git@github.com:martijnvermaat/calmap.git

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