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)
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