pandas-datareader | Extract data from a wide range of Internet sources into a pandas DataFrame | Data Visualization library

 by   pydata Python Version: 0.9.0rc1 License: Non-SPDX

kandi X-RAY | pandas-datareader Summary

kandi X-RAY | pandas-datareader Summary

pandas-datareader is a Python library typically used in Analytics, Data Visualization, Pandas applications. pandas-datareader has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However pandas-datareader has a Non-SPDX License. You can install using 'pip install pandas-datareader' or download it from GitHub, PyPI.

Extract data from a wide range of Internet sources into a pandas DataFrame.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              pandas-datareader has a medium active ecosystem.
              It has 2648 star(s) with 645 fork(s). There are 143 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 119 open issues and 396 have been closed. On average issues are closed in 65 days. There are 18 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pandas-datareader is 0.9.0rc1

            kandi-Quality Quality

              pandas-datareader has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              pandas-datareader has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              pandas-datareader releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 8682 lines of code, 537 functions and 85 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pandas-datareader and discovered the below as its top functions. This is intended to give you an instant insight into pandas-datareader implemented functionality, and help decide if they suit your requirements.
            • Get data reader .
            • Return a dict containing the command - line arguments .
            • Return a list of git pieces from VCS .
            • Create the versioneer config file .
            • Return call data .
            • Reads SDMX file .
            • Read all available boards .
            • Determine git version from keywords .
            • Download data from WorldBank .
            • Get data from Yahoo Components .
            Get all kandi verified functions for this library.

            pandas-datareader Key Features

            No Key Features are available at this moment for pandas-datareader.

            pandas-datareader Examples and Code Snippets

            Pandas dt accessor returns wrong day and month
            Pythondot img1Lines of Code : 9dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            data = pd.read_csv('D 2019.csv', parse_dates=[['Date', 'Time']], dayfirst=True)
            #                                                                -------------
            
            >>> data['Date_Time'].dt.month
            # 0    12
            # 1  
            Can't extract index list from yahoo finance
            Pythondot img2Lines of Code : 27dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            tickers = ['^GSPC', '^IXIC', '^GDAXI']
            
            data = []
            for t in tickers:
                sr = wb.DataReader(t, data_source='yahoo', start='1997-1-1')['Adj Close']
                sr = sr[~sr.index.duplicated()].rename(t)
                data.append(sr)
                
            df = pd.concat(data, a
            Error when loading data using web.DataReader, yahoo finance
            Pythondot img3Lines of Code : 5dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            start=dt.datetime(2010,1,1)
            end=dt.datetime(2017,1,1)
            df = yf.download(tickers=['^GSPC'], start=start, end=end)
            
            
            Python, Pandas, Yahoo Finance API
            Pythondot img4Lines of Code : 4dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import yfinance as yf
            msft = yf.Ticker("MSFT")
            msft.info
            
            Cant install pandas_datareader.data
            Pythondot img5Lines of Code : 4dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            conda install pandas_datareader
            
            !conda install pandas_datareader
            
            'DatetimeProperties' object has no attribute 'isocalendar'
            Pythondot img6Lines of Code : 2dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            data["start_week"] = bike_data["start_time"].dt.week
            
            Pandas read_csv import my numeric data as str?
            Pythondot img7Lines of Code : 2dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            data = pd.read_csv(file, usecols = [0,1,2,3,4],delimiter=";", decimal=",",thousands=".", header=None)
            
            no module named pandas.io.data found
            Pythondot img8Lines of Code : 8dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            pip install pandas-datareader
            
            import pandas_datareader
            
            from pandas_datareader import data
            df=data.DataReader('AAPL','yahoo','2016/1/1','2017/1/1')
            df.head()
            
            copy iconCopy
            !pip show pandas_datareader
            
            !pip install --upgrade pandas_datareader
            
            Press Runtime->Restart runtime
            
            !pip show pandas_datareader
            
            Python: pandas_datareader import historical stock data in euro
            Pythondot img10Lines of Code : 42dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            alb = web.DataReader('ALB', 'yahoo', '01.01.2020', '01.01.2021')
            bmw = web.DataReader('BMW.DE', 'yahoo', '01.01.2020', '01.01.2021')
            eurusd = web.data.DataReader('EURUSD%3DX', 'yahoo', '01.01.2020', '01.01.2021')
            
            #

            Community Discussions

            QUESTION

            Error when loading data using web.DataReader, yahoo finance
            Asked 2022-Mar-23 at 19:01

            I try to load data using web.DataReader but I always get the error "RemoteDataError: Unable to read URL: https://finance.yahoo.com/quote/FB/history?period1=1325390400&period2=1577937599&interval=1d&frequency=1d&filter=history".

            I already used the following package updates and my code worked fine yesterday. However today I still get the same error as before (i.e., unable to read URL).

            ...

            ANSWER

            Answered 2022-Mar-23 at 19:01

            If anyone faces the same issue as mine, I just found out how to solve it!

            Adapt this piece of code in your notebook:

            Source https://stackoverflow.com/questions/71510670

            QUESTION

            Python, Pandas, Yahoo Finance API
            Asked 2022-Mar-09 at 21:37

            Having trouble getting Pandas data reader to retrieve price quotes from Yahoo’s API. The most up to date answer seems to be:

            "pip install --upgrade pandas pip install --upgrade pandas-datareader

            However, for the time being I will be using Google Collab and its Python platform, does anyone know how to update the pandas here? Or has the API truly just been discontinued?

            ...

            ANSWER

            Answered 2022-Mar-09 at 19:00

            In Colab you need to put a ! before pip

            Source https://stackoverflow.com/questions/71414673

            QUESTION

            Python: matplotlib.pyplot.show() is not showing the plot
            Asked 2021-Nov-03 at 13:35
            import matplotlib.pyplot as plt
            
            plt.plot([1,2,3])
            plt.show()
            
            input("Press enter to continue...")
            
            ...

            ANSWER

            Answered 2021-Nov-03 at 13:32

            As of late, conda and matplotlib have been having issues.

            You can try to downgrade freetype from 2.11.0 to 2.10.4 by doing conda install freetype=2.10.4

            Source https://stackoverflow.com/questions/69825742

            QUESTION

            Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas
            Asked 2021-Oct-11 at 14:51

            data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data

            I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.

            ...

            ANSWER

            Answered 2021-Oct-11 at 14:21

            geopandas 0.10.1

            • have noted that your data is on kaggle, so start by sourcing it
            • there really is only one issue shapely.geometry.MultiPoint() constructor does not work with a filtered series. Pass it a numpy array instead and it works.
            • full code below, have randomly selected a point to serve as gpdPoint

            Source https://stackoverflow.com/questions/69521034

            QUESTION

            how do I programmatically find details of an installed package(pip show equivalent)?
            Asked 2021-Aug-11 at 09:10

            I know there is a command pip show for the purpose but I would like to know whether it is possible I can fetch details by doing import pip? When you run pip show it gives info like:

            ...

            ANSWER

            Answered 2021-Aug-11 at 09:05

            Playing with pip source code, I found the following solution which works for Python 3.8.1 and pip 21.0.1 .

            Source https://stackoverflow.com/questions/68738368

            QUESTION

            Reading CSV dates with pandas returns datetime instead of Timestamp
            Asked 2021-Apr-15 at 01:18

            Problem description:

            I'm trying to read historical stock prices from CSV format into pandas Dataframe, but one funny thing I have noticed so far - when reading certain row numbers, the dates column type is changed from pandas.Timestamp into datetime - how does that work? How can I read pandas.Timestamp then?

            Minimum reproduction example:

            I have inspected my CSV file, and here is a minimal needed data example from it.

            ...

            ANSWER

            Answered 2021-Apr-15 at 01:18

            You can specify which date_parser function to be used:

            Source https://stackoverflow.com/questions/66941446

            QUESTION

            Jupyter Notebook Cannot Connect to Kernel, Likely due to Zipline / AssertionError
            Asked 2021-Apr-12 at 04:17

            All of my virtual environments work fine, except for one in which the jupyter notebook won't connect for kernel. This environment has Zipline in it, so I expect there is some dependency that is a problem there, even though I installed all packages with Conda.

            I've read the question and answers here, and unfortunately downgrading tornado to 5.1.1 didn't work nor do I get ValueErrors. I am, however, getting an AssertionError that appears related to the Class NSProcessInfo.

            I'm on an M1 Mac. Log from terminal showing the error below, and my environment file is below that. Can someone help me get this kernel working? Thank you!

            ...

            ANSWER

            Answered 2021-Apr-04 at 18:14

            Figured it out.

            What works:

            Source https://stackoverflow.com/questions/66907180

            QUESTION

            Installing module using Anaconda caused issues on my Virtual Environment
            Asked 2021-Mar-31 at 19:41

            I attempted to update pandas_datareader on my Python 3.5.2 virtual Environment using Anaconda like this:

            ...

            ANSWER

            Answered 2021-Mar-31 at 19:41

            At the end, I ended up solving this by rolling back the changes I made using conda list --revisions to find out until which previous set up I had to roll back to, then afterwards I ran conda install --revision N (where N is the revision you want to trace back to). Suppose the changes you made are rev 4, you want to undo them, and sit back again under rev 3 (your previously "known and working" environment you had), so you run conda install --revision 3 for that case.

            Afterwards I re-installed pandas_datareader with python -m pip install pandas-datareader and everything went good again.

            Thanks anyways and I hope if someone else runs into this issue, can find this post valuable.

            Source https://stackoverflow.com/questions/66891673

            QUESTION

            Prevent conda from automatically downgrading python package
            Asked 2020-Dec-21 at 22:17

            I had problems with pandas-datareader package v0.81. To fix my problem, I had to upgrade the package to a newer version 0.9 by running the following command;

            ...

            ANSWER

            Answered 2020-Dec-21 at 22:17
            Specify Minimum Version

            Conda is sufficiently powerful to parse minimum versions, and it remembers that they've been specified. If you would prefer 0.9 as the minimum, then you just need to say so with

            Source https://stackoverflow.com/questions/65385983

            QUESTION

            Trouble importing pandas_datareader
            Asked 2020-Dec-09 at 10:22

            I installed the package using the command line

            ...

            ANSWER

            Answered 2020-Dec-09 at 07:10

            Have you tried to do in the command line of anaconda (Anaconda CMD)

            Source https://stackoverflow.com/questions/65212093

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

            Vulnerabilities

            No vulnerabilities reported

            Install pandas-datareader

            You can install using 'pip install pandas-datareader' or download it from GitHub, PyPI.
            You can use pandas-datareader 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:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            Install
          • PyPI

            pip install pandas-datareader

          • CLONE
          • HTTPS

            https://github.com/pydata/pandas-datareader.git

          • CLI

            gh repo clone pydata/pandas-datareader

          • sshUrl

            git@github.com:pydata/pandas-datareader.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link