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-2.0.5.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | e0671010f9db08fac4977d0c5a80cdeca7b2eb720dd151cd4c1d2b0299fdfb56 |
|
MD5 | 058361561fe5715b9f9d07f270f6582f |
|
BLAKE2b-256 | 2b96ddff9cac32d463b7e27c788fb97ad85b1e7e1e0692d2ec0706ba58dcd4f9 |
Close
Hashes for chipmunkdb_python_client-2.0.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 75d5ae6ae363d2ac7b85c8ed087649cd75b9a5134a0dced2756b68d560a6ff9e |
|
MD5 | 545f4abc413f4373ff5ecbffcdf3886e |
|
BLAKE2b-256 | d15bd6a45cebe4f95337b31361470d23d7191229ff999b8970f53a03e86366ca |