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

load	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()