# pandas-rs
pandas-rs is oirginally designed for RedShift but
also works for PostgreSQL. Inspired by [pandas-td](https://github.com/treasure-data/pandas-td)
I may should have made the package name as pandas-pg, since It also works for
PostgreSQL.
# requirement
To connect PostgreSQL and RedShift, you have to have the PostgreSQL client.
### Mac
~~~
brew update
brew install postgresql
~~~
# installation
~~~
pip install pandas-rs
~~~
# Usage
As I mentioned, above pandas-rs works for PostgreSQL as well.
First export password via shell(recommended)
~~~shell
export REDSHIFT_OR_POSTGRESQL_PASSWORD='password'
~~~
~~~py
import pandas_rs as rs
import os # use only if you will access password through environment variables
rs.create_engine(
dbname='dev',
user='test',
password=os.environ['REDSHIFT_OR_POSTGRESQL_PASSWORD'],
host='foobar.redshift.exmple',
port='5439'
)
print(rs.read_sql("""select 'hello PostgreSQL or redshift' greeting"""))
~~~
result
~~~py
greeting
0 hello PostgreSQL or redshift
~~~
Metadata
Release files for pandas-rs 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pandas-rs-0.1.6.tar.gz | 2.8 kB | Without provenance | Details for pandas-rs-0.1.6.tar.gz |
Release files / pandas-rs-0.1.6.tar.gz
| Download URL | pandas-rs-0.1.6.tar.gz |
|---|---|
| Size | 2.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1a7a451a364180d742909221fa91ae6f321f1226b2ddda43b9e3dfcaef380155
|
|
BLAKE2b-256 checksum How to use checksums |
235b4dd40415bafe3c786457e8c56f70ea2bf7f5dc466fb0cfcfecee19f0c3af
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for pandas-rs 0.1.6
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.