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
Built Distribution
Close
Hashes for intelecy-pandahouse-0.3.1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 073d0492e8f7e6123a519a16cd425780af637573e4665177c48437d1868d35f4 |
|
MD5 | b0994fa77dafdfdb346fb147d93142da |
|
BLAKE2b-256 | dcac7428fbf51d9c98daa270a86a922d27a8e2d780b7c32ab59dde9d63a31b0b |
Close
Hashes for intelecy_pandahouse-0.3.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 512e47e579f000e61eaecb41b5357d7aaf10d8955ab48be989cc5c441fc72a85 |
|
MD5 | 467968071ce8d0f595a5fcaddfac115a |
|
BLAKE2b-256 | 9926c332774474649dc5060a987fddcc190540b45e6325e4672f4fcb8b7fd29b |