Source code for satpy.readers.vaisala_gld360

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2019 Satpy developers
# This file is part of satpy.
# satpy 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.
# satpy 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
# satpy.  If not, see <>.
"""Vaisala Global Lightning Dataset 360 reader.

Vaisala Global Lightning Dataset GLD360 is data as a service
that provides real-time lightning data for accurate and early
detection and tracking of severe weather. The data provided is
generated by a Vaisala owned and operated world-wide lightning
detection sensor network.

- [GLD360]


import logging

import dask.array as da
import pandas as pd
import xarray as xr

from satpy.readers.file_handlers import BaseFileHandler
from satpy.utils import get_legacy_chunk_size

logger = logging.getLogger(__name__)
CHUNK_SIZE = get_legacy_chunk_size()

[docs] class VaisalaGLD360TextFileHandler(BaseFileHandler): """ASCII reader for Vaisala GDL360 data.""" def __init__(self, filename, filename_info, filetype_info): """Initialize VaisalaGLD360TextFileHandler.""" super(VaisalaGLD360TextFileHandler, self).__init__(filename, filename_info, filetype_info) names = ['gld360_date', 'gld360_time', 'latitude', 'longitude', 'power', 'unit'] types = ['str', 'str', 'float', 'float', 'float', 'str'] dtypes = dict(zip(names, types)) # Combine 'date' and 'time' into a datetime object parse_dates = {'time': ['gld360_date', 'gld360_time']} = pd.read_csv(filename, delim_whitespace=True, header=None, names=names, dtype=dtypes, parse_dates=parse_dates) @property def start_time(self): """Get start time.""" return['time'].iloc[0] @property def end_time(self): """Get end time.""" return['time'].iloc[-1]
[docs] def get_dataset(self, dataset_id, dataset_info): """Load a dataset.""" xarr = xr.DataArray(da.from_array([dataset_id['name']], chunks=CHUNK_SIZE), dims=["y"]) # Add time, longitude, and latitude as non-dimensional y-coordinates xarr['time'] = ('y',['time']) xarr['longitude'] = ('y',['longitude']) xarr['latitude'] = ('y',['latitude']) if dataset_id['name'] == 'power': # Check that units in the file match the unit specified in the # reader yaml-file if not ( == dataset_info['units']).all(): raise ValueError('Inconsistent units found in file!') xarr.attrs.update(dataset_info) return xarr