Welcome to pastastore's documentation! ====================================== `pastastore` is a module for managing `Pastas `_ time series and models. The module supports storing and managing data with a database or on disk. This gives the user a simple way to manage Pastas projects, and allows the user to pick up where they left off, without having to load all data into memory. An small example using pastastore:: import pastastore as pst import pandas as pd # initialize a connector and a pastastore pstore = pst.PastaStore(pst.PasConnector("my_dbase", "./path_to_folder")) # read some data series = pd.read_csv("some.csv", index_col=[0], parse_dates=True) # add data to store pstore.add_oseries(series, "my_oseries", metadata={"x": 10., "y": 20.}) See the table of contents to get started with `pastastore`. .. toctree:: :maxdepth: 3 :caption: Contents Getting started Example usage User guide API-docs Indices and tables ================== * :ref:`genindex`