quandl-python | Quandl technology platform | REST library

 by   quandl Python Version: v3.4.8 License: MIT

kandi X-RAY | quandl-python Summary

kandi X-RAY | quandl-python Summary

quandl-python is a Python library typically used in Web Services, REST applications. quandl-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install quandl-python' or download it from GitHub, PyPI.

This is the official documentation for Quandl's Python Package. The package can be used to interact with the latest version of the Quandl RESTful API. This package is compatible with python v2.7.x and v3.x+.
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              quandl-python has a medium active ecosystem.
              It has 1311 star(s) with 342 fork(s). There are 130 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 3 open issues and 65 have been closed. On average issues are closed in 37 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of quandl-python is v3.4.8

            kandi-Quality Quality

              quandl-python has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              quandl-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

              quandl-python 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, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed quandl-python and discovered the below as its top functions. This is intended to give you an instant insight into quandl-python implemented functionality, and help decide if they suit your requirements.
            • Get data from dataset .
            • Get point in time .
            • Fetch data from a datatable .
            • Returns a pandas dataframe
            • Handle an API error response .
            • Convert GET request options to dict .
            • Request file info .
            • Bulk download .
            • Bulk download .
            • Export a datatable table .
            Get all kandi verified functions for this library.

            quandl-python Key Features

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

            quandl-python Examples and Code Snippets

            Live demo,Outros Endpoints
            Pythondot img1Lines of Code : 5dot img1no licencesLicense : No License
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            /cotacao
            /grafico
            /json/v2
            /json/v3
            /summary  
            How to smoothly impute values in a Pandas DataFrame?
            Pythondot img2Lines of Code : 2dot img2License : Strong Copyleft (CC BY-SA 4.0)
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            data = df.interpolate()
            
            Can't truncate pandas dataframe from quandl
            Pythondot img3Lines of Code : 2dot img3License : Strong Copyleft (CC BY-SA 4.0)
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            pall = pall.truncate(before='2003-01-02')
            
            SQLite Append Trading Data to existing db is not working
            Pythondot img4Lines of Code : 14dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            CREATE TABLE "XXX" (
                "Id"    INTEGER NOT NULL,
                "Date"  DATETIME NOT NULL,
                "Open"  FLOAT,
                "High"  FLOAT,
                "Low"   FLOAT,
                "Close" FLOAT,
                PRIMARY KEY("Id" AUTOINCREMENT)
            );
            
            CREATE INDEX "IX_
            Get free SP500 historical end of day data through API
            Pythondot img5Lines of Code : 5dot img5License : Strong Copyleft (CC BY-SA 4.0)
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            import quandl
            
            quandl.ApiConfig.api_key = 'YOUR_KEY'
            quandl.get('EOD/SPY', start_date='2021-02-26', end_date='2021-02-26')
            
            import quandl data inquiry
            Pythondot img6Lines of Code : 5dot img6License : Strong Copyleft (CC BY-SA 4.0)
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            import pandas as pd
            import quandl
            df = pd.DataFrame(quandl.get('WIKI/TSLA')) 
            print(df.head(n=10))
            
            Error when including date picker in callback in Dash
            Pythondot img7Lines of Code : 12dot img7License : Strong Copyleft (CC BY-SA 4.0)
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            @app.callback(Output(component_id='graph1', 
                                component_property='figure'),
                          [Input(component_id='country-list1', 
                                component_property='value'),
                          Input(component_id='indicator
            Unable to automatically infer frequency of Quandl Time Series Dataframe
            Pythondot img8Lines of Code : 3dot img8License : Strong Copyleft (CC BY-SA 4.0)
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            td = df.index[1] - df.index[0]
            freq = td.days  # or explore td.components
            
            get only a value with Quandl in Python
            Pythondot img9Lines of Code : 9dot img9License : Strong Copyleft (CC BY-SA 4.0)
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            import quandl
            
            quandl.ApiConfig.api_key = 'your-api-key'
            gold = quandl.get('LBMA/GOLD', rows=1, column_index='2')
            
            print(gold.iloc[0].values[0])
            
            1944.75
            
            Add quantile to MonteCarlo Simulation results in Python
            Pythondot img10Lines of Code : 4dot img10License : Strong Copyleft (CC BY-SA 4.0)
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            simulation_df.quantile(.95, axis=1)
            
            simulation_df.T.describe(percentiles=[.95, .75, .5, .25, .05])
            

            Community Discussions

            Trending Discussions on quandl-python

            QUESTION

            Problems importing quandl module
            Asked 2019-Jul-09 at 23:22

            I am trying to create a Data Science project using some Quandl dataset, but am receiving an error on import.

            As i know quandl should be imported all in lowercase, as the documentation states here and here, my import goes as follows:

            ...

            ANSWER

            Answered 2019-Jul-08 at 16:19

            Try pip3 install quandl . It usually works for Python 3.x

            Source https://stackoverflow.com/questions/56938808

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

            Vulnerabilities

            No vulnerabilities reported

            Install quandl-python

            The installation process varies depending on your python version and system used. However in most cases the following should work:.
            If you wish to work on local development please clone/fork the git repo and use pip install -r requirements.txt to setup the project.

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            https://github.com/quandl/quandl-python.git

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            gh repo clone quandl/quandl-python

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            git@github.com:quandl/quandl-python.git

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