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-1.3.37.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | c5cde7a4a56ce3b3cb5538c35b6c7f99ea995cbb3645262d9487018a78fd5d55 |
|
MD5 | 278b55ea2ff36108627efa8168c6a39f |
|
BLAKE2b-256 | daff4161b37a4ec9d0f285040ac7d86e7d4663486d3d42799439776f10656e2a |
Close
Hashes for chipmunkdb_python_client-1.3.37-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 144d57b49456744c38cb52e42ea125b055a84ee5460fdabc6cc75d145a2069ba |
|
MD5 | b2ce7f31b11a852b2a95c7037f484d82 |
|
BLAKE2b-256 | f8e88f5a167129a388567f7fcfc7ce2ca451034c7e664b38f60a9811f9dca409 |