Skip to main content

Pandas interface for Clickhouse HTTP API

Project description

Pandahouse

Note: this is a fork. You probably want to use https://github.com/kszucs/pandahouse

Pandas interface for ClickHouse HTTP API

Install

pip install pandahouse

Usage

Writing a dataframe to ClickHouse

connection = {"host": "http://clickhouse-host:8123",
              "database": "test"}
affected_rows = to_clickhouse(df, table="name", connection=connection)

Reading arbitrary ClickHouse query to pandas

df = read_clickhouse("SELECT * FROM {db}.table", index_col="id",
                     connection=connection)

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

intelecy-pandahouse-0.3.2.tar.gz (5.8 kB view hashes)

Uploaded source

Built Distribution

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page