# Climate indicator manager - a package for managing and building climate indicator dashboards.
# Copyright (c) 2022 John Kennedy
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from pathlib import Path
from typing import List
import climind.data_types.timeseries as ts
from climind.data_manager.metadata import CombinedMetadata
from climind.readers.generic_reader import read_ts
[docs]
def read_annual_ts(filename: List[Path], metadata: CombinedMetadata) -> ts.TimeSeriesAnnual:
years = []
anomalies = []
"""
HadCRUT, NOAA, Berkeley, Kadow,,
HadCRUT confidence limit lower, HadCRUT confidence limit upper
"""
name = metadata['name']
if name == 'Kadow IPCC':
col = 4
elif name == 'Berkeley IPCC':
col = 3
elif name == 'NOAA Interim IPCC':
col = 2
else:
raise KeyError(f"Oh honey, what you doin' here? {name}")
with open(filename[0], 'r') as f:
f.readline()
for line in f:
columns = line.split(',')
if columns[0] == '':
break
year = columns[0]
years.append(int(year))
anomalies.append(float(columns[col]))
metadata.creation_message()
return ts.TimeSeriesAnnual(years, anomalies, metadata=metadata)