pastas.io#
This section lists all the read methods that are available in Pastas to import time series and the input/output methods to store and load Pastas models.
IO Methods#
Method to load a Pastas Model from file. |
Using Pandas#
While Pastas provides a few basic methods for reading time series data, we
highly recommend using the Pandas read methods to load your time series. Pastas expects
pandas.Series
with a pandas.DatetimeIndex
, so
using Pandas is generally a good idea, for example:
import pandas as pd
ts = pd.read_csv("your_file.csv", parse_dates=True,
infer_datetime_format=True).squeeze()