HousePricing | HousePricing旨在提供房价的可视化预测,帮助用户更好的评估房产和预测未来的价格 | Frontend Framework library

 by   PENGZhaoqing JavaScript Version: Current License: No License

kandi X-RAY | HousePricing Summary

kandi X-RAY | HousePricing Summary

HousePricing is a JavaScript library typically used in User Interface, Frontend Framework, React applications. HousePricing has no vulnerabilities and it has low support. However HousePricing has 45 bugs. You can download it from GitHub.

HousePricing旨在提供房价的可视化预测,帮助用户更好的评估房产和预测未来的价格(dev)
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              HousePricing has a low active ecosystem.
              It has 327 star(s) with 156 fork(s). There are 29 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 11 open issues and 4 have been closed. On average issues are closed in 27 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of HousePricing is current.

            kandi-Quality Quality

              HousePricing has 45 bugs (0 blocker, 0 critical, 22 major, 23 minor) and 16 code smells.

            kandi-Security Security

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

            kandi-License License

              HousePricing does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              HousePricing releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.
              HousePricing saves you 2438 person hours of effort in developing the same functionality from scratch.
              It has 5311 lines of code, 47 functions and 95 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of HousePricing
            Get all kandi verified functions for this library.

            HousePricing Key Features

            No Key Features are available at this moment for HousePricing.

            HousePricing Examples and Code Snippets

            No Code Snippets are available at this moment for HousePricing.

            Community Discussions

            QUESTION

            An error while converting string into float in a CSV file
            Asked 2018-Sep-26 at 08:55

            I have created a CSV (Comma delimited) file from an Excel file. I would like to analyze them in Python (ver. 3.5) using Spyder.

            I managed to create nice lists from the CSV file I've mentioned above. My next goal is to convert the strings into floats so that I would be able to do some calculations using them. However an error occurred and I have no idea how can I deal with it.

            This is the error message:

            Here's my code:

            ...

            ANSWER

            Answered 2018-Sep-26 at 08:55

            QUESTION

            Problems with creating a CSV file using Excel
            Asked 2018-Sep-20 at 12:46

            I have some data in an Excel file. I would like to analyze them using Python. I started by creating a CSV file using this guide.

            Thus I have created a CSV (Comma delimited) file filled with the following data:

            I wrote a few lines of code in Python using Spyder:

            ...

            ANSWER

            Answered 2018-Sep-20 at 12:46

            Seems like in the GDP column there are decimal values from the first column in the .csv file and first digits of the second column. There's either something wrong with the .csv you created, but more probably you need to specify separator in the pandas.read_csv line. Also, add header=None, to make sure you don't lose the first line of the file (i.e. it will get replaced by colnames).

            Try this:

            Source https://stackoverflow.com/questions/52425403

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

            Vulnerabilities

            No vulnerabilities reported

            Install HousePricing

            You can download it from GitHub.

            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 .
            Find more information at:

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

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/PENGZhaoqing/HousePricing.git

          • CLI

            gh repo clone PENGZhaoqing/HousePricing

          • sshUrl

            git@github.com:PENGZhaoqing/HousePricing.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