from pandas import read_csv
import pastas as ps
ps.set_log_level("ERROR")
def test_create_project():
pr = ps.Project(name="test")
return pr
def test_project_add_oseries():
pr = test_create_project()
obs = read_csv("tests/data/obs.csv",
index_col=0,
parse_dates=True,
squeeze=True)
pr.add_oseries(obs, name="heads", metadata={"x": 0.0, "y": 0})
return pr
def test_project_add_stresses():
pr = test_project_add_oseries()
prec = read_csv("tests/data/rain.csv",
index_col=0,
parse_dates=True,
squeeze=True)
evap = read_csv("tests/data/evap.csv",
index_col=0,
parse_dates=True,
squeeze=True)
# -*- coding: utf-8 -*-
"""
This example is meant to show the logger methods of pastas
"""
import pastas as ps
# using the default logger, we will see some infomration in the console:
obs = ps.read_dino('data/B58C0698001_1.csv')
# when we set the level to WARNING we do not see any output anymore
ps.set_log_level('WARNING')
# which is just a wrapper around
ps.utils.set_console_handler(ps.logger, level='WARNING')
obs = ps.read_dino('data/B58C0698001_1.csv')
# when we also want log-information saved to file, we add file-handlers
ps.utils.add_file_handlers(ps.logger)
obs = ps.read_dino('data/B58C0698001_1.csv')
# to get the default logger back we initialize it again
ps.utils.initialize_logger(ps.logger)