flat | : steam_locomotive : Flatten/unflatten nested Javascript | Dataset library

 by   hughsk JavaScript Version: 6.0.1 License: BSD-3-Clause

kandi X-RAY | flat Summary

kandi X-RAY | flat Summary

flat is a JavaScript library typically used in Artificial Intelligence, Dataset, Nodejs applications. flat has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can install using 'npm i flat-with-array-length' or download it from GitHub, npm.

Take a nested Javascript object and flatten it, or unflatten an object with delimited keys.
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              flat has a medium active ecosystem.
              It has 1660 star(s) with 191 fork(s). There are 20 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 30 open issues and 40 have been closed. On average issues are closed in 1072 days. There are 19 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of flat is 6.0.1

            kandi-Quality Quality

              flat has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              flat is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              flat releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of flat
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            flat Key Features

            No Key Features are available at this moment for flat.

            flat Examples and Code Snippets

            copy iconCopy
            const flatIterator = function* (itr) {
              for (let item of itr) {
                if (item[Symbol.iterator]) yield* flatIterator(item);
                else yield item;
              }
            };
            
            
            const arr = [1, 2, [3, 4], [5, [6, [7], 8]], 9, new Set([10, 11])];
            [...flatIterator(arr)]; // 1,  
            Pack a sequence into a flat sequence .
            pythondot img2Lines of Code : 114dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def pack_sequence_as(structure, flat_sequence, expand_composites=False):
              """Returns a given flattened sequence packed into a given structure.
            
              Refer to [tf.nest](https://www.tensorflow.org/api_docs/python/tf/nest)
              for the definition of a struct  
            Preprocess the flat outputs .
            pythondot img3Lines of Code : 95dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _postprocess_flat_outputs(
                outputs: Any,
                need_spmd_partitioning: bool
            ) -> Tuple[List[Optional[core_types.Tensor]], List[ops.Operation], List[Any]]:
              """Validates non-flat outputs, add backs device assignments and other attrs.
            
              Args  
            Call a flat function .
            pythondot img4Lines of Code : 94dot img4License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _call_flat(self, args, captured_inputs, cancellation_manager=None):
                """Executes the wrapped function.
            
                Args:
                  args: a list of Tensors or Variables. Arguments from the Python function
                    should be filtered before calling this met  

            Community Discussions

            QUESTION

            How to check if a string contains item(s) from a list and then add the existing values to a variable in python?
            Asked 2021-Jun-15 at 07:09

            I have imported a .csv file as a flat list which contains keywords that should be added to same variable if they exist in description variable (string).

            ...

            ANSWER

            Answered 2021-Jun-15 at 07:05

            You don't need to use .split()

            Source https://stackoverflow.com/questions/67981450

            QUESTION

            In Dataweave 2.0 how to create nested array from flat array - Mule 4
            Asked 2021-Jun-14 at 18:33

            I need to create a nested array using the response received from different API. I have this flat array, with all the data. What would be the best approach to create a nested array where the children are nested to its parent based on its result status.

            Input JSON flat array as follows:

            ...

            ANSWER

            Answered 2021-Jun-11 at 12:36

            A quick and easy way could be as follows:

            Script

            Source https://stackoverflow.com/questions/67933291

            QUESTION

            Seaborn FacetGrid multiple page pdf plotting
            Asked 2021-Jun-14 at 17:37

            I'm trying to create a multi-page pdf using FacetGrid from this (https://seaborn.pydata.org/examples/many_facets.html). There are 20 grids images and I want to save the first 10 grids in the first page of pdf and the second 10 grids to the second page of pdf file. I got the idea of create mutipage pdf file from this (Export huge seaborn chart into pdf with multiple pages). This example works on sns.catplot() but in my case (sns.FacetGrid) the output pdf file has two pages and each page has all of the 20 grids instead of dividing 10 grids in each page.

            ...

            ANSWER

            Answered 2021-Jun-14 at 17:16

            You are missing the col_order=cols argument to the grid = sns.FacetGrid(...) call.

            Source https://stackoverflow.com/questions/67974473

            QUESTION

            How to pass list of nested lists into JPA native query
            Asked 2021-Jun-14 at 15:14

            I need to create a JPA native query relevant to the example below:

            ...

            ANSWER

            Answered 2021-Jun-09 at 13:58

            Missing parentheses or commas have been known to throw this error.

            Source https://stackoverflow.com/questions/67904478

            QUESTION

            Read flat file in a SSIS package with optional additional columns
            Asked 2021-Jun-14 at 13:05

            In a SSIS package, I've got a flat file that may have seven columns or two additional columns at the end making nine columns.

            Example file1:

            ...

            ANSWER

            Answered 2021-Jun-14 at 13:05

            You can easily resolve the issue by modifying the expressions for the Conditional Split task, and adding ISNULL() function and an immediate if conditional expression to handle NULLs.

            Along the following:

            Source https://stackoverflow.com/questions/67969440

            QUESTION

            rmarkdown user input to select from a list
            Asked 2021-Jun-13 at 19:18

            I am trying to generate an RMarkdown document. I have a list freqsByYear and I would like the user to select from a drop down menu (or some similar method) and this will get stored as Q from here I can pass it to a ggplot function and make the plot as follows.

            ...

            ANSWER

            Answered 2021-Jun-13 at 14:27

            You could use shiny runtime which allows to create a selectInput and to react to changes to this input with renderPlot:

            Source https://stackoverflow.com/questions/67959165

            QUESTION

            How to fix the "array out of bounds exception"?
            Asked 2021-Jun-12 at 21:38
            public class MDarrays_28 {
                public static void main(String[] args) {
                    int flats[][];
                    flats = new int[2][3];
                    flats[0][0] = 101;
                    flats[0][1] = 102;
                    flats[0][2] = 103;
                    flats[1][0] = 201;
                    flats[1][1] = 202;
                    flats[1][2] = 203;
            
                    for (int i = 0; i < flats.length; i++) {
                        for (int j = 0; i < flats[i].length; j++) {
                            System.out.print(flats[i][j]);
                            System.out.print(" ");
                        }
                        System.out.println("\n");
                    }
                }
            }
            
            ...

            ANSWER

            Answered 2021-Jun-12 at 21:38

            QUESTION

            Return redirect wont pass parameters
            Asked 2021-Jun-12 at 16:35

            i cant find solution to this simple problem. urls.py

            ...

            ANSWER

            Answered 2021-Jun-12 at 16:35

            With redirect, you can use the name of the path, and then pass positional and/or keyword parameter.

            Another problem is that you use .filter(…) [Django-doc], this thus means that you retrieve a collection of objects (that can contain zero, one, or more last_boards. YOu should retrieve only one, so:

            Source https://stackoverflow.com/questions/67950845

            QUESTION

            Pandas split one series based on another series in the same dataframe
            Asked 2021-Jun-12 at 11:42

            Consider the below dataframe.

            ...

            ANSWER

            Answered 2021-Jun-10 at 23:07
            L = []
            
            for k,v in zip(df.addr, df.street):
                L.append(k.split(v))
            
            output = [v[0] for v in L]
            

            Source https://stackoverflow.com/questions/67929328

            QUESTION

            Convert (flatten) multiple header Pandas dataframe
            Asked 2021-Jun-12 at 06:05

            I have the following Pandas dataframe taken from an Excel file (link to the Excel file)

            I would like to flatten the Excel table with Pandas by converting the current headers (two first rows) to dataframe columns. This is where I want to get to:

            ...

            ANSWER

            Answered 2021-Jun-12 at 06:05
            df = pd.read_excel(..., header=[0, 1])
            df = (
                df
                .iloc[:, 2:]
                .set_index(df.iloc[:, 0])
                .set_index(df.iloc[:, 1], append=True)
                .stack([0, 1])
                .rename_axis(["segement", "quantity", "category", "sub_category"])
                .rename("value")
                .reset_index()
            )
            

            Source https://stackoverflow.com/questions/67939102

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

            Vulnerabilities

            No vulnerabilities reported

            Install flat

            You can install using 'npm i flat-with-array-length' or download it from GitHub, npm.

            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:

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            Install
          • npm

            npm i flat

          • CLONE
          • HTTPS

            https://github.com/hughsk/flat.git

          • CLI

            gh repo clone hughsk/flat

          • sshUrl

            git@github.com:hughsk/flat.git

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