Read and Write Dataframes and Data to a chipmunkdb
Project description
chipmunkdb :chipmunk: python-client
Modify and save dataframes with timeseries or without to an ultra-fast ipc chipmunk database with olap features. (Powered by duckdb)
Installation
pip install chipmunkdb-python-client
Usage
import sys
sys.path.insert(0,'..')
import pandas as pd
import numpy as np
from chipmunkdb.ChipmunkDb import ChipmunkDb
db = ChipmunkDb("localhost")
#receive all collections
collections = db.collections()
# create a dataframe
df = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
columns=['a', 'b', 'c'])
print(df)
## save your pandas
db.save_as_pandas(df, "mydf")
## get infos abotu your dataframe
collection = db.collection_info("mydf")
# read your dataframe again
df2 = db.collection_as_pandas("mydf")
print(df2)
# call any query on your data
d = db.query("SELECT * FROM mydf WHERE a=1 LIMIT 100")
print(d)
Info
Project details
Release history Release notifications | RSS feed
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 chipmunkdb_python_client-2.0.17.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 86dff7b64024c6cd4eb6f65574ef00dc0800aceb8a041bf165ff08b64c1fc4fe |
|
MD5 | 3298c57851dbcfb3ceea04cd78f4ecad |
|
BLAKE2b-256 | 4e141c2f23eba056d35c9e178b37f1a879c26f0ebf17a43b33570349a0e6008c |
Close
Hashes for chipmunkdb_python_client-2.0.17-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | bf95e52f2c5e2af2ef4d86c702f898c3f0444189f67db8c9da0c203d1ab19d5a |
|
MD5 | e13e35cb9ab0f2d87a7a10154a1faad1 |
|
BLAKE2b-256 | 7bbdf2c50e7c27c25bb8bb5748dba673a488dcb97e9d675f34fbf2fde9b8d244 |