fredapi | Python API for FRED ( Federal Reserve Economic Data | Data Visualization library

 by   mortada Python Version: 0.5.2 License: Apache-2.0

kandi X-RAY | fredapi Summary

kandi X-RAY | fredapi Summary

fredapi is a Python library typically used in Analytics, Data Visualization applications. fredapi 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 fredapi' or download it from GitHub, PyPI.

fredapi is a Python API for the FRED data provided by the Federal Reserve Bank of St. Louis. fredapi provides a wrapper in python to the FRED web service, and also provides several convenient methods for parsing and analyzing point-in-time data (i.e. historic data revisions) from ALFRED. fredapi makes use of pandas and returns data to you in a pandas Series or DataFrame.
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            kandi-support Support

              fredapi has a low active ecosystem.
              It has 702 star(s) with 137 fork(s). There are 39 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 25 open issues and 18 have been closed. On average issues are closed in 133 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of fredapi is 0.5.2

            kandi-Quality Quality

              fredapi has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              fredapi is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              fredapi releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed fredapi and discovered the below as its top functions. This is intended to give you an instant insight into fredapi implemented functionality, and help decide if they suit your requirements.
            • Search for series by category
            • Get search results
            • Performs a series search
            • Fetch the data from the given url
            • Get vintage dates
            • Parse date string into datetime
            • Get data for a specific series
            • Get all of the historical data for a series
            • Get the latest release for a series
            • Get data for a series
            • Search series
            • Get the first release of a series
            Get all kandi verified functions for this library.

            fredapi Key Features

            No Key Features are available at this moment for fredapi.

            fredapi Examples and Code Snippets

            Resetting series to dataframe in jupyterlab
            Pythondot img1Lines of Code : 6dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            info = info.reset_index()
            info.rename({'index':'label'}, axis = 'columns')
            
            info.reset_index(inplace=True)
            info.rename({'index':'label'}, axis = 'columns')
            
            What is the difference between "import package" versus "from package import ..."?
            Pythondot img2Lines of Code : 5dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import bookshelf
            # read bookshelf.book1, bookshelf.book2, until bookshelf.bookN
            
            from bookshelf import book1, book5, bookN
            
            how to combine Series with different date into one DataFrame
            Pythondot img3Lines of Code : 13dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
             Parameters
                    ----------
                    series_id : str
                        Fred series id such as 'CPIAUCSL'
                    observation_start : datetime or datetime-like str such as '7/1/2014', optional
                        earliest observation date
                    obser

            Community Discussions

            QUESTION

            AWS Java Lambda not connecting to Internet - no VPC
            Asked 2021-Sep-13 at 13:01

            I created a Lambda function in AWS, it does not have a VPC configured, which seems to be the common reason for missing internet access, yet it seemingly cannot connect to the internet. I'm sure I'm making some obvious mistake but I can't really think of anything.

            I've tried to recreate the connections my Lambda uses in a main function locally and it works just fine there.

            Output of main method on my machine ...

            ANSWER

            Answered 2021-Sep-13 at 13:01

            It was a timeout issue. The site does answer, but much slower than it does when I connect from my local network.

            Increasing the maximum lambda function timeout solved the issue.

            Source https://stackoverflow.com/questions/69151702

            QUESTION

            How to generated the csv file from json data with Java?
            Asked 2020-Dec-05 at 00:41

            I try to generate csv file from json type data. These are my json test data.

            ...

            ANSWER

            Answered 2020-Sep-26 at 07:47

            You can do it with a library Apache Commons IO

            pom.xml

            Source https://stackoverflow.com/questions/64074637

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

            Vulnerabilities

            No vulnerabilities reported

            Install fredapi

            You can install using 'pip install fredapi' or download it from GitHub, PyPI.
            You can use fredapi 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 .
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            Install
          • PyPI

            pip install fredapi

          • CLONE
          • HTTPS

            https://github.com/mortada/fredapi.git

          • CLI

            gh repo clone mortada/fredapi

          • sshUrl

            git@github.com:mortada/fredapi.git

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