# Climate indicator manager - a package for managing and building climate indicator dashboards.
# Copyright (c) 2024 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 numpy as np
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_monthly_ts(filename: List[Path], metadata: CombinedMetadata) -> ts.TimeSeriesMonthly:
years = []
months = []
anomalies = []
with open(filename[0], 'r') as f:
for line in f:
columns = line.split()
time_split = columns[0].split('.')
year = int(time_split[0])
month_bit = time_split[1]
correspondence = {
'00': 1,
'02': 1,
'04': 1,
'06': 1,
'12': 2,
'13': 2,
'20': 3,
'21': 3,
'25': 3,
'26': 4,
'28': 4,
'29': 4,
'30': 4,
'31': 4,
'32': 5,
'36': 5,
'37': 5,
'38': 5,
'44': 5,
'45': 6,
'46': 6,
'52': 7,
'53': 7,
'54': 7,
'55': 7,
'62': 8,
'63': 8,
'64': 8,
'70': 9,
'71': 9,
'79': 10,
'83': 10,
'84': 11,
'88': 11,
'91': 11,
'95': 12,
'96': 12,
'98': 12,
}
if month_bit == '00':
year -= 1
month = 12
else:
month = correspondence[month_bit]
years.append(year)
months.append(month)
anom = float(columns[1])
if anom == 0.0:
anomalies.append(None)
else:
anomalies.append(anom)
metadata.creation_message()
return ts.TimeSeriesMonthly(years, months, anomalies, metadata=metadata)