def create_plot(self):
"""
Create plot!
"""
nrow = len(self.magnitudes)
# Get means and standard deviations
gmvs = self.get_ground_motion_values()
fig = plt.figure(figsize=self.figure_size)
fig.set_tight_layout({"pad":0.5})
for rowloc in xrange(nrow):
for colloc in xrange(self.nsites):
self._build_plot(
plt.subplot2grid((nrow, self.nsites), (rowloc, colloc)),
gmvs,
rowloc,
colloc)
#fig.text(0.5, 0.0, "Period", fontsize=18, ha='center', va='center')
#fig.text(0.0, 0.5, "Sa (g)", fontsize=18, ha='center', va='center',
# rotation='vertical')
# Add legend
lgd = plt.legend(self.lines,
self.labels,
loc=2,
bbox_to_anchor=(1.1, 1.))
_save_image_tight(fig, lgd, self.filename, self.filetype, self.dpi)
plt.show()
def create_plot(self):
"""
Creates the trellis plot!
"""
# Determine the optimum number of rows and columns
nrow, ncol = utils.best_subplot_dimensions(len(self.imts))
# Get means and standard deviations
gmvs = self.get_ground_motion_values()
fig = plt.figure(figsize=self.figure_size)
fig.set_tight_layout(True)
row_loc = 0
col_loc = 0
first_plot = True
for i_m in self.imts:
if col_loc == ncol:
row_loc += 1
col_loc = 0
# Construct the plot
self._build_plot(
plt.subplot2grid((nrow, ncol), (row_loc, col_loc)),
i_m,
gmvs)
col_loc += 1
# Add legend
lgd = plt.legend(self.lines,
self.labels,
loc=2,
bbox_to_anchor=(1.1, 1.))
#fig.savefig(self.filename, bbox_extra_artists=(lgd,),
# bbox_inches="tight",
# dpi=self.dpi, format=self.filetype)
_save_image_tight(fig, lgd, self.filename, self.filetype, self.dpi)
plt.show()
def create_plot(self):
"""
Creates the trellis plot!
"""
# Determine the optimum number of rows and columns
nrow, ncol = utils.best_subplot_dimensions(len(self.imts))
# Get means and standard deviations
if self.rupture:
gmvs = self.get_ground_motion_values_from_rupture()
else:
gmvs = self.get_ground_motion_values()
fig = plt.figure(figsize=self.figure_size)
fig.set_tight_layout(True)
row_loc = 0
col_loc = 0
first_plot = True
for i_m in self.imts:
if col_loc == ncol:
row_loc += 1
col_loc = 0
# Construct the plot
self._build_plot(
plt.subplot2grid((nrow, ncol), (row_loc, col_loc)), i_m, gmvs)
col_loc += 1
# Add legend
lgd = plt.legend(self.lines,
self.labels,
loc=2,
bbox_to_anchor=(1.05, 1.),
fontsize=self.legend_fontsize,
ncol=self.ncol)
_save_image_tight(fig, lgd, self.filename, self.filetype, self.dpi)
plt.show()
def create_plot(self):
"""
Create plot!
"""
nrow = len(self.magnitudes)
# Get means and standard deviations
# if self.rupture:
# gmvs = self.get_ground_motion_values_from_rupture()
# else:
gmvs = self.get_ground_motion_values()
fig = plt.figure(figsize=self.figure_size)
fig.set_tight_layout({"pad": 0.5})
for rowloc in xrange(nrow):
for colloc in xrange(self.nsites):
self._build_plot(plt.subplot2grid((nrow, self.nsites), (rowloc, colloc)), gmvs, rowloc, colloc)
# Add legend
lgd = plt.legend(self.lines, self.labels, loc=2, bbox_to_anchor=(1.1, 1.0))
_save_image_tight(fig, lgd, self.filename, self.filetype, self.dpi)
plt.show()
def create_plot(self):
"""
Create plot!
"""
nrow = len(self.magnitudes)
# Get means and standard deviations
gmvs = self.get_ground_motion_values()
fig = plt.figure(figsize=self.figure_size)
fig.set_tight_layout({"pad": 0.5})
for rowloc in xrange(nrow):
for colloc in xrange(self.nsites):
self._build_plot(
plt.subplot2grid((nrow, self.nsites), (rowloc, colloc)),
gmvs, rowloc, colloc)
# Add legend
lgd = plt.legend(self.lines,
self.labels,
loc=2,
bbox_to_anchor=(1.1, 1.),
ncol=self.ncol)
_save_image_tight(fig, lgd, self.filename, self.filetype, self.dpi)
plt.show()
