Welcome to pastastore's documentation!
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`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`