dflow | is a minimal Dataflow programming engine | Functional Programming library

 by   fibo TypeScript Version: 0.43.1 License: MIT

kandi X-RAY | dflow Summary

kandi X-RAY | dflow Summary

dflow is a TypeScript library typically used in Programming Style, Functional Programming applications. dflow has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

is a minimal Dataflow programming engine.
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              dflow has a low active ecosystem.
              It has 70 star(s) with 11 fork(s). There are 9 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 0 open issues and 86 have been closed. On average issues are closed in 1969 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of dflow is 0.43.1

            kandi-Quality Quality

              dflow has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              dflow 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

              dflow 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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            dflow Key Features

            No Key Features are available at this moment for dflow.

            dflow Examples and Code Snippets

            No Code Snippets are available at this moment for dflow.

            Community Discussions

            QUESTION

            PANDAS dataframe concat and pivot data
            Asked 2021-May-24 at 21:16

            I'm leaning python pandas and playing with some example data. I have a CSV file of a dataset with net worth by percentile of US population by quarter of year. I've successfully subseted the data by percentile to create three scatter plots of net worth by year, one plot for each of three population sections. However, I'm trying to combine those three plots to one data frame so I can combine the lines on a single plot figure.

            Data here: https://www.federalreserve.gov/releases/z1/dataviz/download/dfa-income-levels.csv

            Code thus far:

            ...

            ANSWER

            Answered 2021-May-24 at 17:03

            I don't see the categories mentioned in your code in the csv file you shared. In order to concat dataframes along columns, you could use pd.concat along axis=1. It concats the columns of same index number. So first set the Date column as index and then concat them, and then again bring back Date as a dataframe column.

            • To set Date column as index of dataframe, df1 = df1.set_index('Date') and df2 = df2.set_index('Date')
            • Concat the dataframes df1 and df2 using df_merge = pd.concat([df1,df2],axis=1) or df_merge = pd.merge(df1,df2,on='Date')
            • bringing back Date into column by df_merge = df_merge.reset_index()

            Source https://stackoverflow.com/questions/67675432

            QUESTION

            Select x records after the minimum and max value within factor group(s)
            Asked 2020-Jul-21 at 13:30

            I have a dataset of daily temperature from different locations and different years. I would like to select the minimum value and then the records 90 days after this value for each location within each year. I would also like to selected the maximum value and the the records 90 days after this. I apologise, but I am not really sure how to easily provide a reproducible example given the cyclical nature of the data.

            As an example, with the following data if I want to extract the rows from 3 days after the lowest and highest temp from each year:

            ...

            ANSWER

            Answered 2020-Jul-21 at 13:11

            Here's a tidyverse solution. In the absence of reproducible data, I have made some up that follow a cyclical pattern over a 3-year period:

            Source https://stackoverflow.com/questions/63014054

            QUESTION

            Python Beginner: Removing nan form an array of arrays
            Asked 2020-Jul-16 at 09:18

            So im working with an array of arrays, i want to calculate the mean of each array inside this array, but some of the arrays have nan values.

            I dont want to remove the whole array, just the nan obejct.

            im using numpy, and the array is of type float64

            I have tried some of the solutions on here, but with no luck.

            ...

            ANSWER

            Answered 2020-Jul-16 at 09:18

            This is just a quick one. There might be better solution out there.

            Source https://stackoverflow.com/questions/62929954

            QUESTION

            Filtering a dataframe column for rows that contain certain text
            Asked 2019-May-09 at 15:46

            I have a dataframe that contains certain columns, one of which is Position and another one is Years of Service. Based on these, I want to create a new column 'Life Cover'. I have created this function for that.

            ...

            ANSWER

            Answered 2019-May-09 at 15:18

            The str.contains method is a vectorized string operation ( see here). This means that it is a method for for pandas Series and not string types. When you use df.apply, pandas tries to use str.contains for each element of the column you selected instead of doing it at the Series level.

            I would suggest the following approach:

            Source https://stackoverflow.com/questions/56062306

            QUESTION

            Spring Integration TCP - What is a good way to close listening socket completely
            Asked 2018-Aug-13 at 15:17

            Is it a good option to use

            AbstractServerConnectionFactory.closeCOnnection(ClientConnId). I am using this but what happens is that after a few days of processing server starts giving "too many open files" error. I investigated that Issue by running the commands "lsof" AND "/proc/pid/fd" that showed me around 280 file descriptors for the sockets and pipes

            ...

            ANSWER

            Answered 2018-Aug-13 at 15:17

            Closing the socket using it's ID should close it completely.

            However, simply set the soTimeout property and the operating system will notify the framework, which will close the socket if no data is received in that time.

            throw new SoftEndOfStreamException

            I am not sure where you are doing that, but I can't think of a scenario where it would close the server socket.

            That exception should only be thrown from a deserializer (when it detects the socket closed between messages).

            Source https://stackoverflow.com/questions/51823650

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

            Vulnerabilities

            No vulnerabilities reported

            Install dflow

            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 .
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            Install
          • npm

            npm i dflow

          • CLONE
          • HTTPS

            https://github.com/fibo/dflow.git

          • CLI

            gh repo clone fibo/dflow

          • sshUrl

            git@github.com:fibo/dflow.git

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