The default behavior for adding and solving with noisemodels has changed from Pastas 1.5. Find more information here

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,