Google2Pandas | Query Google Analytics and get the results | Analytics library

 by   panalysis Python Version: 0.2.1 License: Non-SPDX

kandi X-RAY | Google2Pandas Summary

kandi X-RAY | Google2Pandas Summary

Google2Pandas is a Python library typically used in Analytics, Pandas applications. Google2Pandas has no vulnerabilities, it has build file available and it has low support. However Google2Pandas has 1 bugs and it has a Non-SPDX License. You can install using 'pip install Google2Pandas' or download it from GitHub, PyPI.

Query Google Analytics and get the results as a pandas.DataFrame
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            kandi-support Support

              Google2Pandas has a low active ecosystem.
              It has 80 star(s) with 28 fork(s). There are 12 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 6 open issues and 18 have been closed. On average issues are closed in 129 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Google2Pandas is 0.2.1

            kandi-Quality Quality

              Google2Pandas has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 15 code smells.

            kandi-Security Security

              Google2Pandas has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Google2Pandas code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Google2Pandas 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

              Google2Pandas 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.
              Google2Pandas saves you 149 person hours of effort in developing the same functionality from scratch.
              It has 373 lines of code, 20 functions and 4 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Google2Pandas and discovered the below as its top functions. This is intended to give you an instant insight into Google2Pandas implemented functionality, and help decide if they suit your requirements.
            • Execute a query
            • Parse query
            • Add filter argument to query
            • Add sort argument to query
            • Add data to query
            • Executes a query
            • Convert the response to a pandas dataframe
            • Authenticate credentials
            • Create flow from secrets
            Get all kandi verified functions for this library.

            Google2Pandas Key Features

            No Key Features are available at this moment for Google2Pandas.

            Google2Pandas Examples and Code Snippets

            No Code Snippets are available at this moment for Google2Pandas.

            Community Discussions

            QUESTION

            google analytics api: push data stored in to a variable into maria db
            Asked 2018-Nov-20 at 06:54

            i have a quick question this is my python code to retrieve data from google analtycs api. it works just fine. i would like now to push the result into maria database running on my local machine. i built alrady the scheme and the table in mysql. i was able to establish the connection with maria db. Can you show me how to push the data stored in to the variable "df" into the database?

            import google2pandas from google2pandas import * conn = GoogleAnalyticsQuery(secrets='C:/Users/blabla/OneDrive/MyFiles/Documents/analysis/ga-creds/ga-credsclient_secrets.json', token_file_name='C:/Users/l.longo/OneDrive/MyFiles/Documents/analysis//ga-creds/analytics.dat') query = {\ 'ids' : 'ga:23185143', 'metrics' : 'pageviews', 'dimensions' : ['date', 'pagePath'], 'start_date' : '8daysAgo' }

            df, metadata = conn.execute_query(**query) print(df) import mysql.connector as mariadb mariadb_connection = mariadb.connect(user='root', password='xxxxx', database='xxxxxx') cursor = mariadb_connection.cursor()

            here you have the results i get from analytics api

            enter image description here

            ...

            ANSWER

            Answered 2018-Jun-04 at 18:52

            You can use INSERT statement over your mysql connection. Check this question Inserting Data using MySql Connector in Python

            Source https://stackoverflow.com/questions/50670501

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

            Vulnerabilities

            No vulnerabilities reported

            Install Google2Pandas

            Install the latest version via pip:.

            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 Google2Pandas

          • CLONE
          • HTTPS

            https://github.com/panalysis/Google2Pandas.git

          • CLI

            gh repo clone panalysis/Google2Pandas

          • sshUrl

            git@github.com:panalysis/Google2Pandas.git

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