def to_exposures(self, dataset, dump_dir=SYSTEM_DIR):
"""Downloads hdf5 files belonging to the given datasets reads them into Exposures and
concatenates them into a single climada.Exposures object.
Parameters
----------
dataset : DatasetInfo
Dataset to download and read into climada.Exposures objects.
dump_dir : str, optional
Directory where the files should be downoladed. Default: SYSTEM_DIR (as configured in
climada.conf, i.g. ~/climada/data).
If the directory is the SYSTEM_DIR, the eventual target directory is organized into
dump_dir > exposures_type > dataset name > version
Returns
-------
climada.entity.exposures.Exposures
The combined exposures object
"""
target_dir = self._organize_path(dataset, dump_dir) \
if dump_dir == SYSTEM_DIR else dump_dir
exposures_list = [
Exposures.from_hdf5(self._download_file(target_dir, dsf))
for dsf in dataset.files
if dsf.file_format == 'hdf5'
]
if not exposures_list:
raise ValueError("no hdf5 files found in dataset")
if len(exposures_list) == 1:
return exposures_list[0]
exposures_concat = Exposures()
exposures_concat = exposures_concat.concat(exposures_list)
exposures_concat.check()
return exposures_concat
def exp_dem(x_exp=1, exp=None):
while not exp:
try:
exp = Exposures.from_hdf5(EXP_DEMO_H5)
except HDF5ExtError:
# possibly raised by pd.HDFStore when the file is locked by another process due to multiprocessing
time.sleep(0.1)
exp_tmp = exp.copy(deep=True)
exp_tmp.gdf.value *= x_exp
return exp_tmp
