def test_plot_likelihoods_hist():
props = \
cloudpy.load('/d/bip3/ezbc/multicloud/data/python_output/' + \
'perseus_lee12_binned_coarseres_props.pickle')
cloudpy.plot_likelihoods_hist(props=props,
filename=\
'/usr/users/ezbc/Desktop/likelihoods.png',
)
def test_plot_likelihoods_hist():
props = \
cloudpy.load('/d/bip3/ezbc/multicloud/data/python_output/' + \
'perseus_lee12_binned_coarseres_props.pickle')
cloudpy.plot_likelihoods_hist(props=props,
filename=\
'/usr/users/ezbc/Desktop/likelihoods.png',
)
def test_plotting(self):
#cloud = cloudpy.load(self.cloud_filename)
#cloud._write_final_params()
props = \
cloudpy.load(\
'/d/bip3/ezbc/multicloud/data/props.pickle')
likelihood_filename = \
'/d/bip3/ezbc/perseus/figures/likelihood/' + \
'perseus_likelihood_planck_bin_scaled_wd.png'
cloudpy.plot_likelihoods_hist(props=props,
plot_axes=('widths', 'dgrs'),
show=0,
returnimage=false,
filename=likelihood_filename,
limits=[0, 15, 0.1, 0.2],
)
def test_plotting(self):
#cloud = cloudpy.load(self.cloud_filename)
#cloud._write_final_params()
props = \
cloudpy.load(\
'/d/bip3/ezbc/multicloud/data/props.pickle')
likelihood_filename = \
'/d/bip3/ezbc/perseus/figures/likelihood/' + \
'perseus_likelihood_planck_bin_scaled_wd.png'
cloudpy.plot_likelihoods_hist(
props=props,
plot_axes=('widths', 'dgrs'),
show=0,
returnimage=false,
filename=likelihood_filename,
limits=[0, 15, 0.1, 0.2],
)
def plot_likelihoods(cloud_results):
likelihood_filename_base = \
cloud_results['figure_dir'] + 'likelihood/' + \
cloud_results['filename_extension'] + '_likelihood_'
if 0:
cloudpy.plot_likelihoods_hist(
cloud=cloud_results['cloud'],
filename=likelihood_filename_base + 'wd.png',
)
#if 'california' in cloud_results['filename_extension']:
#limits =
cloudpy.plot_likelihoods_hist(
cloud=cloud_results['cloud'],
props=cloud_results['props'],
plot_axes=('widths', 'dgrs'),
show=0,
returnimage=False,
filename=likelihood_filename_base + 'wd.png',
#limits=[0, 100, 0.0, 0.3],
logscale=False,
)
cloudpy.plot_likelihoods_hist(
cloud=cloud_results['cloud'],
props=cloud_results['props'],
plot_axes=('widths', 'intercepts'),
show=0,
returnimage=False,
filename=likelihood_filename_base + 'wi.png',
#limits=[0, 100, -2, 2],
logscale=False,
)
cloudpy.plot_likelihoods_hist(
cloud=cloud_results['cloud'],
props=cloud_results['props'],
plot_axes=('dgrs', 'intercepts'),
show=0,
returnimage=False,
filename=likelihood_filename_base + 'di.png',
#limits=[0, 100, -2, 2],
logscale=False,
)
def plot_likelihoods(cloud_results):
likelihood_filename_base = \
cloud_results['figure_dir'] + 'likelihood/' + \
cloud_results['filename_extension'] + '_likelihood_'
if 0:
cloudpy.plot_likelihoods_hist(cloud=cloud_results['cloud'],
filename=likelihood_filename_base + 'wd.png',
)
#if 'california' in cloud_results['filename_extension']:
#limits =
cloudpy.plot_likelihoods_hist(cloud=cloud_results['cloud'],
props=cloud_results['props'],
plot_axes=('widths', 'dgrs'),
show=0,
returnimage=False,
filename=likelihood_filename_base + 'wd.png',
#limits=[0, 100, 0.0, 0.3],
logscale=False,
)
cloudpy.plot_likelihoods_hist(cloud=cloud_results['cloud'],
props=cloud_results['props'],
plot_axes=('widths', 'intercepts'),
show=0,
returnimage=False,
filename=likelihood_filename_base + 'wi.png',
#limits=[0, 100, -2, 2],
logscale=False,
)
cloudpy.plot_likelihoods_hist(cloud=cloud_results['cloud'],
props=cloud_results['props'],
plot_axes=('dgrs', 'intercepts'),
show=0,
returnimage=False,
filename=likelihood_filename_base + 'di.png',
#limits=[0, 100, -2, 2],
logscale=False,
)