Skip to main content

Google BigQuery connector for pandas

Project description

preview pypi versions

pandas-gbq is a package providing an interface to the Google BigQuery API from pandas.

Installation

Install latest release version via conda

$ conda install pandas-gbq --channel conda-forge

Install latest release version via pip

$ pip install pandas-gbq

Install latest development version

$ pip install git+https://github.com/googleapis/python-bigquery-pandas.git

Usage

Perform a query

import pandas_gbq

result_dataframe = pandas_gbq.read_gbq("SELECT column FROM dataset.table WHERE value = 'something'")

Upload a dataframe

import pandas_gbq

pandas_gbq.to_gbq(dataframe, "dataset.table")

More samples

See the pandas-gbq documentation for more details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pandas-gbq-0.19.1.tar.gz (48.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pandas_gbq-0.19.1-py2.py3-none-any.whl (25.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pandas-gbq-0.19.1.tar.gz.

File metadata

  • Download URL: pandas-gbq-0.19.1.tar.gz
  • Upload date:
  • Size: 48.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for pandas-gbq-0.19.1.tar.gz
Algorithm Hash digest
SHA256 c31255cf23316c574ed06d8cbfb4240f487d691f39dcdc2e9192153c08351da4
MD5 81652bad29db83bd02aa7e71adadd69e
BLAKE2b-256 39361cbd7cfcd830035c11877092d68c47bec98ee42a96f8eb4e2952f6c9257b

See more details on using hashes here.

File details

Details for the file pandas_gbq-0.19.1-py2.py3-none-any.whl.

File metadata

  • Download URL: pandas_gbq-0.19.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 25.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for pandas_gbq-0.19.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8733d78e169b0c4506ca7314c113e3240cf2b2accd83ba5cf456f1d13d79ebd3
MD5 b604695d928217fbb85b7ea563866b02
BLAKE2b-256 ae076dba8f17d8a4edf7514a2c051a4747e73ecc6c869ad8b769c90c8258253f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page