dataframe-go | DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

 by   rocketlaunchr Go Version: Current License: Non-SPDX

kandi X-RAY | dataframe-go Summary

kandi X-RAY | dataframe-go Summary

dataframe-go is a Go library typically used in Data Science, Pandas applications. dataframe-go has no bugs, it has no vulnerabilities and it has medium support. However dataframe-go has a Non-SPDX License. You can download it from GitHub.

Dataframes are used for statistics, machine-learning, and data manipulation/exploration. You can think of a Dataframe as an excel spreadsheet. This package is designed to be light-weight and intuitive. ️ The package is production ready but the API is not stable yet. Once stability is reached, version 1.0.0 will be tagged. It is recommended your package manager locks to a commit id instead of the master branch directly. ️. the project to show your appreciation.

            kandi-support Support

              dataframe-go has a medium active ecosystem.
              It has 978 star(s) with 87 fork(s). There are 39 watchers for this library.
              It had no major release in the last 6 months.
              There are 14 open issues and 27 have been closed. On average issues are closed in 18 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of dataframe-go is current.

            kandi-Quality Quality

              dataframe-go has no bugs reported.

            kandi-Security Security

              dataframe-go has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              dataframe-go has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              dataframe-go 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.

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            dataframe-go Key Features

            No Key Features are available at this moment for dataframe-go.

            dataframe-go Examples and Code Snippets

            No Code Snippets are available at this moment for dataframe-go.

            Community Discussions


            Return data type DataFrame
            Asked 2021-Jan-16 at 12:25

            I have a data frame



            Answered 2021-Jan-16 at 11:17

            The return type of func readFile(fileName string) should be *dataframe.DataFrame.

            You use the imports.LoadFromCSV(...) function to load your CSV file and want to return the resulting data frame. The API documentation of the reveals, that LoadFromCSV function a pointer to your dataframe: *dataframe.DataFrame.

            See documentation here documentation of LoadFromCSV:

            func LoadFromCSV(ctx context.Context, r io.ReadSeeker, options ...CSVLoadOptions) (*dataframe.DataFrame, error)\

            LoadFromCSV will load data from a csv file.



            dataframe-go: How to filter using < > operators?
            Asked 2020-Apr-20 at 19:22

            I'm trying to do a simple filter in dataframe-go. I adapted from the Github example and tried to use a simple > operator in the Filter Function, but the compiler gave invalid operation: vals["day"] > 4 (operator > not defined on interface) error (see my code below)

            Ok, so I changed the type to map[string]int64 but then, it gave the error: cannot convert func literal (type func(map[string]int64, int, int) (dataframe.FilterAction, error)) to type dataframe.FilterDataFrameFn.

            I'm very familiar with R DataFrame/Table and Pandas but dataframe-go's API is rather convoluted. The only web resource I found is this but the author also stated he couldn't understand the filter API.

            Any help is appreciated, thanks!



            Answered 2020-Apr-20 at 19:22

            You have to pass a function with the required signature, so vals must be a map[interface{}]interface{}. This is required because Go is not an interpreted language, and the code calling that function you passed as an argument has no compile-time knowledge of the function passed in.

            Since your values are interface{}s, you have to convert them to the correct type to operate with them:


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


            No vulnerabilities reported

            Install dataframe-go

            You can download it from GitHub.


            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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