def main(cfg):
"""
Load the config file and some metadata, then pass them the plot making
tools.
Parameters
----------
cfg: dict
the opened global config dictionairy, passed by ESMValTool.
"""
for index, metadata_filename in enumerate(cfg['input_files']):
logger.info('metadata filename:\t%s', metadata_filename)
metadatas = diagtools.get_input_files(cfg, index=index)
#######
# Multi model time series
multi_model_time_series(
cfg,
metadatas,
)
for filename in sorted(metadatas):
if metadatas[filename]['frequency'] != 'fx':
logger.info('-----------------')
logger.info(
'model filenames:\t%s',
filename,
)
######
# Time series of individual model
make_time_series_plots(cfg, metadatas[filename], filename)
logger.info('Success')
def main(cfg):
"""
Load the config file, and send it to the plot maker.
Parameters
----------
cfg: dict
the opened global config dictionairy, passed by ESMValTool.
"""
for index, metadata_filename in enumerate(cfg['input_files']):
logger.info(
'metadata filename:\t%s, %s',
index,
metadata_filename,
)
metadatas = diagtools.get_input_files(cfg, index=index)
model_type = 'observational_dataset'
logger.debug(
'model_type: %s, %s',
index,
model_type,
)
logger.debug(
'metadatas: %s, %s',
index,
metadatas,
)
obs_filename = diagtools.match_model_to_key('observational_dataset',
cfg[model_type], metadatas)
for filename in sorted(metadatas.keys()):
if filename == obs_filename:
continue
if not os.path.exists(obs_filename):
continue
logger.info('-----------------')
logger.info(
'model filenames:\t%s',
filename,
)
# #####
# model vs obs scatter plots
make_scatter(cfg, metadatas, filename, obs_filename)
# #####
# model vs obs map plots
make_model_vs_obs_plots(cfg, metadatas, filename, obs_filename)
logger.info('Success')
def main(cfg):
"""
Load the config file and some metadata, then pass them the plot making
tools.
Parameters
----------
cfg: dict
the opened global config dictionairy, passed by ESMValTool.
"""
#####
for index, metadata_filename in enumerate(cfg['input_files']):
logger.info(
'metadata filename:\t%s',
metadata_filename,
)
metadatas = diagtools.get_input_files(cfg, index=index)
thresholds = diagtools.load_thresholds(cfg,
next(iter(metadatas.values())))
#######
# Multi model contour plots
if thresholds:
multi_model_contours(
cfg,
metadatas,
)
for filename in sorted(metadatas):
logger.info('-----------------')
logger.info(
'model filenames:\t%s',
filename,
)
######
# Time series of individual model
make_transects_plots(cfg, metadatas[filename], filename)
######
# Contour maps of individual model
if thresholds:
make_transect_contours(cfg, metadatas[filename], filename)
logger.info('Success')
def main(cfg):
"""
Load the config file, and send it to the plot makers.
Parameters
----------
cfg: dict
the opened global config dictionary, passed by ESMValTool.
"""
cartopy.config['data_dir'] = cfg['auxiliary_data_dir']
for index, metadata_filename in enumerate(cfg['input_files']):
logger.info(
'metadata filename:\t%s',
metadata_filename,
)
metadatas = diagtools.get_input_files(cfg, index=index)
thresholds = diagtools.load_thresholds(cfg, metadatas)
if thresholds:
#######
# Multi model contour plots
multi_model_contours(
cfg,
metadatas,
)
for filename in sorted(metadatas.keys()):
logger.info('-----------------')
logger.info(
'model filenames:\t%s',
filename,
)
######
# Contour maps of individual model
if thresholds:
make_map_contour(cfg, metadatas[filename], filename)
######
# Maps of individual model
make_map_plots(cfg, metadatas[filename], filename)
logger.info('Success')
def main(cfg):
"""
Load the config file and metadata, then pass them the plot making tools.
Parameters
----------
cfg: dict
the opened global config dictionairy, passed by ESMValTool.
"""
cartopy.config['data_dir'] = cfg['auxiliary_data_dir']
for index, metadata_filename in enumerate(cfg['input_files']):
logger.info(
'metadata filename:\t%s',
metadata_filename,
)
metadatas = diagtools.get_input_files(cfg, index=index)
for filename in sorted(metadatas):
logger.info('-----------------')
logger.info(
'model filenames:\t%s',
filename,
)
######
# extent maps plots of individual models
make_map_extent_plots(cfg, metadatas[filename], filename)
######
# maps plots of individual models
make_map_plots(cfg, metadatas[filename], filename)
######
# time series plots o
make_ts_plots(cfg, metadatas[filename], filename)
logger.info('Success')
def main(cfg):
"""
Load the config file, and send it to the plot maker.
Parameters
----------
cfg: dict
the opened global config dictionairy, passed by ESMValTool.
"""
for index, metadata_filename in enumerate(cfg['input_files']):
logger.info(
'metadata filename:\t%s, %s',
index,
metadata_filename,
)
metadatas = diagtools.get_input_files(cfg, index=index)
model_type = 'observational_dataset'
logger.debug(
'model_type: %s, %s',
index,
model_type,
)
logger.debug(
'metadatas: %s, %s',
index,
metadatas,
)
obs_filename = None
if model_type in cfg.keys():
obs_filename = diagtools.match_model_to_key(
'observational_dataset', cfg[model_type], metadatas)
if not os.path.isfile(obs_filename):
logger.info('OBS file not found %s', obs_filename)
make_multiple_plots(cfg, metadatas, obs_filename)
logger.info('Success')
def main(cfg):
"""
Load the config file, and send it to the plot maker.
Parameters
----------
cfg: dict
the opened global config dictionairy, passed by ESMValTool.
"""
for index, metadata_filename in enumerate(cfg['input_files']):
logger.info(
'metadata filename:\t%s',
metadata_filename,
)
input_files = diagtools.get_input_files(cfg, index=index)
# #####
# Multi model time series
multi_model_maps(
cfg,
input_files,
)
logger.info('Success')