de1-python | Curated collection of DE1 's favorite kedro pieces | Awesome List library

 by   dataengineerone Python Version: Current License: MIT

kandi X-RAY | de1-python Summary

kandi X-RAY | de1-python Summary

de1-python is a Python library typically used in Awesome, Awesome List applications. de1-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install de1-python' or download it from GitHub, PyPI.

Curated collection of DE1's favorite kedro utilities.
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            kandi-support Support

              de1-python has a low active ecosystem.
              It has 9 star(s) with 1 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of de1-python is current.

            kandi-Quality Quality

              de1-python has no bugs reported.

            kandi-Security Security

              de1-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              de1-python 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

              de1-python releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed de1-python and discovered the below as its top functions. This is intended to give you an instant insight into de1-python implemented functionality, and help decide if they suit your requirements.
            • Extract the data from the archive
            • Check if given name is ignored
            • Loads the partition
            • Return a list of partitions
            • Returns a pandas dataframe
            • Call the api
            • Retrieve all records from the API
            • Generates a function which returns a lambda function
            • Return the URL for the query
            • Clean the raw_records field
            Get all kandi verified functions for this library.

            de1-python Key Features

            No Key Features are available at this moment for de1-python.

            de1-python Examples and Code Snippets

            DE1 Python Package,Installation,DataSets
            Pythondot img1Lines of Code : 40dot img1License : Permissive (MIT)
            copy iconCopy
            # catalog.yml
            empty_json_collection:
                type: de1.empty.EmptyPartitionedDataSet
                path: data/02_intermediate/json_collection
                dataset: json.JSONDataSet
            
            
             empty_json = catalog.load('empty_json_collection')
             assert empty_json.load() == {}
            
            
            # ca  
            how to create n number of matrixs
            Pythondot img2Lines of Code : 5dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            
            # This is going to create 10 variables de0, de1,.., de9 and assign None to those
            for ind in range(10):
                globals()[f'de{ind}'] = None # Replace None with whatever you need to assign
            
            Subtraction between rows with pandas
            Pythondot img3Lines of Code : 19dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            df = pd.read_csv(file, header='infer', parse_dates=['date'])
            
            df["confirmedInfections"] = df.groupby('ID')['confirmedInfections'].diff().fillna(df.confirmedInfections).astype(int)
            
            for id in 
            Saving dataframes with a key
            Pythondot img4Lines of Code : 6dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            for key in id_array:
                df_temp = df.loc[key]
                print(key)
                df_temp.plot()
                plt.show()
            
            How to maintain order when finding symmetric difference between two list in Python?
            Pythondot img5Lines of Code : 6dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            inner_set = set(list_one) & set(list_two)
            EXPECTED_OUTPUT = [i for i in list_one + list_two if i not in inner_set]
            
            # or
            EXPECTED_OUTPUT = [i for i in list_one + list_two if not (i in list_one and i in list_two)]
            
            Parsing nested json data using Python
            Pythondot img6Lines of Code : 18dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            action_results = results[0].get('action_results', [])
            action_status = action_results[0].get('status', 'failed')
            results_data = action_results[0].get('data', [])
            sandbox_report = results_data[0].get('report', {})
            artifact_item = dict()
            for 
            copy iconCopy
            result = {y : Data[x] for x in Data2 for y in Data2[x]}
            
            {'AT1': [1, 2, 3, 4],
             'AT2': [1, 2, 3, 4],
             'AT3': [1, 2, 3, 4],
             'BE1': [4, 2, 1, 6],
             'BE2': [4, 2, 1, 6],
             'BE3': [4, 2, 1, 6],
             'DE1': [5, 7, 8, 9],
             'DE
            Removing entries from Pandas DF beginning with letter and two numbers
            Pythondot img8Lines of Code : 14dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            df.mask(df.apply(lambda r: r.str.contains('[a-zA-Z]{1}\d{2}')))
            
                   A     B     C       D
            0  Apple  Pear   NaN    John
            1    Cat   NaN  Mary  Sponge
            2    Hat   NaN   Bed     NaN
            
            df[~df.st
            Splitting DataFrame based on index
            Pythondot img9Lines of Code : 4dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            split = []
            for value in df.index.str[:2].unique().values:
                split.append(df[df.index.str[:2] == value])
            
            Shortening a class with __init__
            Pythondot img10Lines of Code : 15dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def parse_mixed_number(f):
                coef, numden = f.split('+')
                num, den = numden.split('/')
                return int(coef), int(num), int(den)
            
            coef1, num1, den1 = parse_mixed_number(f1)
            coef2, num2, den2 = parse_mixed_number(f2)
            

            Community Discussions

            QUESTION

            Is ESLint a Vim plugin?
            Asked 2022-Feb-12 at 01:35

            Vim Awesome lists ESLint as a plugin: https://vimawesome.com/plugin/eslint. However, also on that page it says "...your plugins (and ESLint) are ..." implying ESLint is not a Vim plugin.

            I am trying to work out how to apply ESLint to JavaScript files I am writing in Vim. I would like to do so (at least initially) without any plugins. I think it might help me to achieve this if I knew whether or not ESLint is a Vim plugin or not.

            ...

            ANSWER

            Answered 2022-Feb-12 at 01:35

            No. It is a general linter for javascript. See https://eslint.org/

            If you want to use ESLint in Vim, you can use a vim plugin (such as ALE or the eslint vim plugin) to help you. Or you can use the command line interface eslint offers if you don't want to use plugins.

            Source https://stackoverflow.com/questions/71087803

            QUESTION

            R Extending each list level by new elements
            Asked 2021-Apr-12 at 14:41

            I'm looking for a way to automatically add new list elements/levels to an existing list:

            • my real-life use case has several thousand elements to add, so the manual example below for adding two elements is not feasible anymore,
            • I need a list because that's the format expected by an API I'm trying to access.

            Example:

            ...

            ANSWER

            Answered 2021-Apr-12 at 14:41

            Iterate over names using map or using the same arguments replace map with lapply in which case no packages are needed.

            Source https://stackoverflow.com/questions/67060194

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

            Vulnerabilities

            No vulnerabilities reported

            Install de1-python

            You can install using 'pip install de1-python' or download it from GitHub, PyPI.
            You can use de1-python 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 .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/dataengineerone/de1-python.git

          • CLI

            gh repo clone dataengineerone/de1-python

          • sshUrl

            git@github.com:dataengineerone/de1-python.git

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