def test_single_flowline_glacier_directory():
rid = 'RGI60-15.03473'
gdir = oggm_compat.single_flowline_glacier_directory(rid)
assert gdir.rgi_area_km2 == 61.054
if do_plot:
from oggm import graphics
import matplotlib.pyplot as plt
f, (ax1, ax2) = plt.subplots(1, 2)
graphics.plot_googlemap(gdir, ax=ax1)
graphics.plot_inversion(gdir, ax=ax2)
plt.show()
def test_googlemap():
fig, ax = plt.subplots()
gdir = init_hef()
graphics.plot_googlemap(gdir, ax=ax)
fig.tight_layout()
return fig
nyears=5000, seed=0,
filesuffix='_fromtoday_newparams')
# Plots (if you want)
if PLOTS_DIR == '':
exit()
utils.mkdir(PLOTS_DIR)
for gd in gdirs:
bname = os.path.join(PLOTS_DIR, gd.rgi_id + '_')
demsource = ' (' + gd.read_pickle('dem_source') + ')'
fn = bname + '0_ggl.png'
if not os.path.exists(fn):
graphics.plot_googlemap(gd)
plt.savefig(fn)
plt.close()
fn = bname + '1_dom.png'
if not os.path.exists(fn):
graphics.plot_domain(gd, title_comment=demsource)
plt.savefig(fn)
plt.close()
plt.close()
fn = bname + '2_cls.png'
if not os.path.exists(fn):
graphics.plot_centerlines(gd, title_comment=demsource)
plt.savefig(fn)
plt.close()
# While the above should work always, this here is no piece of fun
execute_entity_task(tasks.random_glacier_evolution, gdirs)
# Write out glacier statistics
df = utils.glacier_characteristics(gdirs)
fpath = os.path.join(cfg.PATHS['working_dir'], 'glacier_char.csv')
df.to_csv(fpath)
# Plots (if you want)
if PLOTS_DIR == '':
exit()
utils.mkdir(PLOTS_DIR)
for gd in gdirs:
bname = os.path.join(PLOTS_DIR, gd.name + '_' + gd.rgi_id + '_')
graphics.plot_googlemap(gd)
plt.savefig(bname + 'ggl.png')
plt.close()
graphics.plot_domain(gd)
plt.savefig(bname + 'dom.png')
plt.close()
graphics.plot_centerlines(gd)
plt.savefig(bname + 'cls.png')
plt.close()
graphics.plot_catchment_width(gd, corrected=True)
plt.savefig(bname + 'w.png')
plt.close()
graphics.plot_inversion(gd)
plt.savefig(bname + 'inv.png')
plt.close()
# print('Calving results:')
# for k in ['calving_front_width', 'calving_flux', 'calving_thick',
# 'calving_free_board']:
# print(k + ':', diags[k])
# if do_plot:
# from oggm import graphics
# import matplotlib.pyplot as plt
# f, (ax1, ax2) = plt.subplots(1, 2)
# graphics.plot_googlemap(gdir, ax=ax1)
# graphics.plot_inversion(gdir, ax=ax2)
# plt.show()
rid = 'RGI60-01.03622'
gdir = oggm_compat.single_flowline_glacier_directory_with_calving(rid,
k_calving=2)
diags = gdir.get_diagnostics()
print('Calving results:')
for k in [
'calving_front_width', 'calving_flux', 'calving_thick',
'calving_free_board'
]:
print(k + ':', diags[k])
do_plot = True
if do_plot:
from oggm import graphics
import matplotlib.pyplot as plt
f, (ax1, ax2) = plt.subplots(1, 2)
graphics.plot_googlemap(gdir, ax=ax1)
graphics.plot_inversion(gdir, ax=ax2)
plt.show()
def test_googlemap():
if not internet_on():
print('Internet is off, couldnt test for googlemaps')
return
gdir = init_hef()
graphics.plot_googlemap(gdir)
def test_googlemap():
gdir = init_hef()
graphics.plot_googlemap(gdir)
def test_googlemap():
gdir = init_hef()
graphics.plot_googlemap(gdir)
h, m = divmod(m, 60)
log.info("OGGM is done! Time needed: %d:%02d:%02d" % (h, m, s))
# Plots (if you want)
if PLOTS_DIR == '':
exit()
utils.mkdir(PLOTS_DIR)
for gd in gdirs:
bname = os.path.join(PLOTS_DIR, gd.rgi_id + '_')
demsource = ' (' + gd.read_pickle('dem_source') + ')'
fn = bname + '0_ggl.png'
if not os.path.exists(fn):
graphics.plot_googlemap(gd, reset=True)
plt.savefig(fn)
plt.close()
fn = bname + '1_dom.png'
if not os.path.exists(fn):
graphics.plot_domain(gd, title_comment=demsource, reset=True)
plt.savefig(fn)
plt.close()
plt.close()
fn = bname + '2_cls.png'
if not os.path.exists(fn):
graphics.plot_centerlines(gd, title_comment=demsource, reset=True)
plt.savefig(fn)
plt.close()
gdirs = workflow.init_glacier_regions(shape, from_prepro_level=1, prepro_border=80, prepro_rgi_version='61', from_tar=True)
# look contents of gdirs
type(gdirs)
# access item on the gdirs list
gdir = gdirs[0] #
print('Path to the DEM:', gdir.get_filepath('dem'))
# look at the attributes of the glacier
gdir
gdir.rgi_date # date at which the outlines are valid
# plot the glacier location and outline
from oggm import graphics
graphics.plot_googlemap(gdir, figsize=(8, 7))
""" Tasks """
from oggm import tasks
# run the glacier_masks task on all gdirs
workflow.execute_entity_task(tasks.glacier_masks, gdirs);
# the command wrote a new file in our glacier directory, providing raster masks of the glaciers
print('Path to the masks:', gdir.get_filepath('gridded_data'))
# It is also possible to apply several tasks sequentially (i.e. one after an other) on our glacier list:
list_talks = [
tasks.compute_centerlines,
tasks.initialize_flowlines,
tasks.compute_downstream_line,
def test_googlemap():
fig, ax = plt.subplots()
gdir = init_hef()
graphics.plot_googlemap(gdir, ax=ax)
fig.tight_layout()
return fig
