arcticdb_local_lmdb_library_write_read_quickstart.py

1import arcticdb
2import pandas as pd
3import numpy as np
4
5# 1. Connect to ArcticDB (using a local file system backend)
6# This will create a directory named 'my_arctic_db' in the current working directory
7ac = arcticdb.Arctic("lmdb://my_arctic_db")
8
9# 2. Create a library (a container for data)
10lib = ac.get_library("test_library", create_if_missing=True)
11
12# 3. Create some sample data
13df = pd.DataFrame(
14    np.random.randn(10, 5), 
15    index=pd.date_range("2023-01-01", periods=10), 
16    columns=list("ABCDE")
17)
18
19# 4. Write data to the library
20lib.write("sample_data", df)
21
22# 5. Read data back from the library
23item = lib.read("sample_data")
24print(item.data)
25
26# 6. List symbols in the library
27print(f"Symbols in library: {lib.list_symbols()}")