def plot_time_series(acceleration,
time_step,
velocity=[],
displacement=[],
units="cm/s/s",
figure_size=(8, 6),
filename=None,
filetype="png",
dpi=300,
linewidth=1.5):
"""
Creates a plot of acceleration, velocity and displacement for a specific
ground motion record
"""
acceleration = convert_accel_units(acceleration, units)
accel_time = get_time_vector(time_step, len(acceleration))
if not len(velocity):
velocity, dspl = get_velocity_displacement(time_step, acceleration)
vel_time = get_time_vector(time_step, len(velocity))
if not len(displacement):
displacement = dspl
disp_time = get_time_vector(time_step, len(displacement))
fig = plt.figure(figsize=figure_size)
fig.set_tight_layout(True)
ax = plt.subplot(3, 1, 1)
# Accleration
ax.plot(accel_time, acceleration, 'k-', linewidth=linewidth)
ax.set_xlabel("Time (s)", fontsize=12)
ax.set_ylabel("Acceleration (cm/s/s)", fontsize=12)
end_time = np.max(np.array([accel_time[-1], vel_time[-1], disp_time[-1]]))
pga = np.max(np.fabs(acceleration))
ax.set_xlim(0, end_time)
ax.set_ylim(-1.1 * pga, 1.1 * pga)
ax.grid()
# Velocity
ax = plt.subplot(3, 1, 2)
ax.plot(vel_time, velocity, 'b-', linewidth=linewidth)
ax.set_xlabel("Time (s)", fontsize=12)
ax.set_ylabel("Velocity (cm/s)", fontsize=12)
pgv = np.max(np.fabs(velocity))
ax.set_xlim(0, end_time)
ax.set_ylim(-1.1 * pgv, 1.1 * pgv)
ax.grid()
# Displacement
ax = plt.subplot(3, 1, 3)
ax.plot(disp_time, displacement, 'r-', linewidth=linewidth)
ax.set_xlabel("Time (s)", fontsize=12)
ax.set_ylabel("Displacement (cm)", fontsize=12)
pgd = np.max(np.fabs(displacement))
ax.set_xlim(0, end_time)
ax.set_ylim(-1.1 * pgd, 1.1 * pgd)
ax.grid()
_save_image(filename, filetype, dpi)
plt.show()
def _parse_time_history(self, ifile):
"""
Parses the time history
"""
# Build the metadata dictionary again
metadata = _get_metadata_from_file(ifile)
self.number_steps = _to_int(metadata["NDATA"])
self.time_step = _to_float(metadata["SAMPLING_INTERVAL_S"])
self.units = metadata["UNITS"]
# Get acceleration data
accel = np.genfromtxt(ifile, skip_header=64)
if "DIS" in ifile:
pga = None
pgd = np.fabs(
_to_float(metadata["PGD_" + metadata["UNITS"].upper()]))
else:
pga = np.fabs(
_to_float(metadata["PGA_" + metadata["UNITS"].upper()]))
pgd = None
if "s^2" in self.units:
self.units = self.units.replace("s^2", "s/s")
output = {
# Although the data will be converted to cm/s/s internally we can
# do it here too
"Acceleration": convert_accel_units(accel, self.units),
"Time": get_time_vector(self.time_step, self.number_steps),
"Time-step": self.time_step,
"Number Steps": self.number_steps,
"Units": self.units,
"PGA": pga,
"PGD": pgd
}
return output
def _parse_time_history(self, ifile):
"""
Parses the time history
"""
# Build the metadata dictionary again
metadata = _get_metadata_from_file(ifile)
self.number_steps = _to_int(metadata["NDATA"])
self.time_step = _to_float(metadata["SAMPLING_INTERVAL_S"])
self.units = metadata["UNITS"]
# Get acceleration data
accel = np.genfromtxt(ifile, skip_header=64)
if "DIS" in ifile:
pga = None
pgd = np.fabs(_to_float(metadata["PGD_" +
metadata["UNITS"].upper()]))
else:
pga = np.fabs(_to_float(
metadata["PGA_" + metadata["UNITS"].upper()]))
pgd = None
if "s^2" in self.units:
self.units = self.units.replace("s^2", "s/s")
output = {
# Although the data will be converted to cm/s/s internally we can
# do it here too
"Acceleration": convert_accel_units(accel, self.units),
"Time": get_time_vector(self.time_step, self.number_steps),
"Time-step": self.time_step,
"Number Steps": self.number_steps,
"Units": self.units,
"PGA": pga,
"PGD": pgd
}
return output
def get_husid(acceleration, time_step):
"""
Returns the Husid vector, defined as \int{acceleration ** 2.}
"""
time_vector = get_time_vector(time_step, len(acceleration))
husid = np.hstack([0., cumtrapz(acceleration ** 2., time_vector)])
return husid, time_vector
def plot_time_series(acceleration, time_step, velocity=[], displacement=[],
units="cm/s/s", figure_size=(8, 6), filename=None, filetype="png",
dpi=300, linewidth=1.5):
"""
Creates a plot of acceleration, velocity and displacement for a specific
ground motion record
"""
acceleration = convert_accel_units(acceleration, units)
accel_time = get_time_vector(time_step, len(acceleration))
if not len(velocity):
velocity, dspl = get_velocity_displacement(time_step, acceleration)
vel_time = get_time_vector(time_step, len(velocity))
if not len(displacement):
displacement = dspl
disp_time = get_time_vector(time_step, len(displacement))
fig = plt.figure(figsize=figure_size)
fig.set_tight_layout(True)
ax = plt.subplot(3, 1, 1)
# Accleration
ax.plot(accel_time, acceleration, 'k-', linewidth=linewidth)
ax.set_xlabel("Time (s)", fontsize=12)
ax.set_ylabel("Acceleration (cm/s/s)", fontsize=12)
end_time = np.max(np.array([accel_time[-1], vel_time[-1], disp_time[-1]]))
pga = np.max(np.fabs(acceleration))
ax.set_xlim(0, end_time)
ax.set_ylim(-1.1 * pga, 1.1 * pga)
ax.grid()
# Velocity
ax = plt.subplot(3, 1, 2)
ax.plot(vel_time, velocity, 'b-', linewidth=linewidth)
ax.set_xlabel("Time (s)", fontsize=12)
ax.set_ylabel("Velocity (cm/s)", fontsize=12)
pgv = np.max(np.fabs(velocity))
ax.set_xlim(0, end_time)
ax.set_ylim(-1.1 * pgv, 1.1 * pgv)
ax.grid()
# Displacement
ax = plt.subplot(3, 1, 3)
ax.plot(disp_time, displacement, 'r-', linewidth=linewidth)
ax.set_xlabel("Time (s)", fontsize=12)
ax.set_ylabel("Displacement (cm)", fontsize=12)
pgd = np.max(np.fabs(displacement))
ax.set_xlim(0, end_time)
ax.set_ylim(-1.1 * pgd, 1.1 * pgd)
ax.grid()
_save_image(filename, filetype, dpi)
plt.show()
def get_husid(acceleration, time_step):
"""
Returns the Husid vector, defined as \int{acceleration ** 2.}
:param numpy.ndarray acceleration:
Vector of acceleration values
:param float time_step:
Time-step of record (s)
"""
time_vector = get_time_vector(time_step, len(acceleration))
husid = np.hstack([0., cumtrapz(acceleration**2., time_vector)])
return husid, time_vector
def get_husid(acceleration, time_step):
"""
Returns the Husid vector, defined as \int{acceleration ** 2.}
:param numpy.ndarray acceleration:
Vector of acceleration values
:param float time_step:
Time-step of record (s)
"""
time_vector = get_time_vector(time_step, len(acceleration))
husid = np.hstack([0., cumtrapz(acceleration ** 2., time_vector)])
return husid, time_vector
def get_bracketed_duration(acceleration, time_step, threshold):
"""
Returns the bracketed duration, defined as the time between the first and
last excrusions above a particular level of acceleration
"""
idx = np.where(np.fabs(acceleration) >= threshold)[0]
if len(idx) == 0:
# Record does not exced threshold at any point
return 0.
else:
time_vector = get_time_vector(time_step, len(acceleration))
return time_vector[idx[-1]] - time_vector[idx[0]] + time_step
def get_bracketed_duration(acceleration, time_step, threshold):
"""
Returns the bracketed duration, defined as the time between the first and
last excursions above a particular level of acceleration
:param float threshold:
Threshold acceleration in units of the acceleration time series
"""
idx = np.where(np.fabs(acceleration) >= threshold)[0]
if len(idx) == 0:
# Record does not exced threshold at any point
return 0.
else:
time_vector = get_time_vector(time_step, len(acceleration))
return time_vector[idx[-1]] - time_vector[idx[0]] + time_step
def _parse_time_history(self, ifile, component2parse):
"""
Parses the time history and returns the time history of the specified
component. All 3 components are provided in every ASA file. Note that
components are defined with various names, and are not always
given in the same order
"""
# The components are definied using the following names
comp_names = {
'X':
['N90E', 'N90E;', 'N90W', 'N90W;', 'S90E', 'S90W', 'E--W', 'S9OE'],
'Y':
['N00E', 'N00E;', 'N00W', 'N00W;', 'S00E', 'S00W', 'N--S', 'NOOE'],
'V': ['V', 'V;+', '+V', 'Z', 'VERT']
}
# Read component names, which are given on line 107
o = open(ifile, "r")
r = o.readlines()
components = list(r[107].split())
# Check if any component names are repeated
if any(components.count(x) > 1 for x in components):
raise ValueError(
"Some components %s in record %s have the same name" %
(components, ifile))
# Check if more than 3 components are given
if len(components) > 3:
raise ValueError("More than 3 components %s in record %s" %
(components, ifile))
# Get acceleration data from correct column
column = None
for i in comp_names[component2parse]:
if i == components[0]:
column = 0
try:
accel = np.genfromtxt(ifile,
skip_header=109,
usecols=column,
delimiter='')
except:
raise ValueError(
"Check %s has 3 equal length time-series columns" %
ifile)
break
elif i == components[1]:
column = 1
try:
accel = np.genfromtxt(ifile,
skip_header=109,
usecols=column,
delimiter='')
except:
raise ValueError(
"Check %s has 3 equal length time-series columns" %
ifile)
break
elif i == components[2]:
column = 2
try:
accel = np.genfromtxt(ifile,
skip_header=109,
usecols=column,
delimiter='')
except:
raise ValueError(
"Check %s has 3 equal length time-series columns" %
ifile)
break
if column is None:
raise ValueError("None of the components %s were found to be \n\
the %s component of file %s" %
(components, component2parse, ifile))
# Build the metadata dictionary again
metadata = _get_metadata_from_file(ifile)
# Get units
units_provided = metadata["UNIDADES DE LOS DATOS"]
units = units_provided[units_provided.find("(") +
1:units_provided.find(")")]
# Get time step, naming is not consistent so allow for variation
for i in metadata:
if 'INTERVALO DE MUESTREO, C1' in i:
self.time_step = get_float(metadata[i].split("/")[1])
# Get number of time steps, use len(accel) because
# sometimes "NUM. TOTAL DE MUESTRAS, C1-C6" is wrong
self.number_steps = len(accel)
output = {
"Acceleration": convert_accel_units(accel, self.units),
"Time": get_time_vector(self.time_step, self.number_steps),
"Time-step": self.time_step,
"Number Steps": self.number_steps,
"Units": self.units,
"PGA": max(abs(accel)),
"PGD": None
}
return output
def _parse_time_history(self, ifile, component2parse):
"""
Parses the time history and returns the time history of the specified
component. All 3 components are provided in every ASA file. Note that
components are defined with various names, and are not always
given in the same order
"""
# The components are definied using the following names
comp_names = {'X': ['ENE', 'N90E', 'N90E;', 'N90W', 'N90W;',
'S90E', 'S90W', 'E--W', 'S9OE'],
'Y': ['ENN', 'N00E', 'N00E;', 'NOOE;', 'N00W',
'NOOW;', 'S00E', 'S00W', 'N--S', 'NOOE'],
'V': ['ENZ', 'V', 'V;+', '+V', 'Z', 'VERT']}
# Read component names, which are given on line 107
o = open(ifile, "r", encoding='iso-8859-1')
r = o.readlines()
components = list(r[107].split())
# Check if any component names are repeated
if any(components.count(x) > 1 for x in components):
raise ValueError(
"Some components %s in record %s have the same name"
% (components, ifile))
# Check if more than 3 components are given
if len(components) > 3:
raise ValueError(
"More than 3 components %s in record %s"
% (components, ifile))
# Get acceleration data from correct column
column = None
for i in comp_names[component2parse]:
if i == components[0]:
column = 0
try:
accel = np.genfromtxt(ifile, skip_header=109,
usecols=column, delimiter='', encoding='iso-8859-1')
except:
raise ValueError(
"Check %s has 3 equal length time-series columns"
% ifile)
break
elif i == components[1]:
column = 1
try:
accel = np.genfromtxt(ifile, skip_header=109,
usecols=column, delimiter='', encoding='iso-8859-1')
except:
raise ValueError(
"Check %s has 3 equal length time-series columns"
% ifile)
break
elif i == components[2]:
column = 2
try:
accel = np.genfromtxt(ifile, skip_header=109,
usecols=column, delimiter='', encoding='iso-8859-1')
except:
raise ValueError(
"Check %s has 3 equal length time-series columns"
% ifile)
break
if column is None:
raise ValueError(
"None of the components %s were found to be \n\
the %s component of file %s" %
(components, component2parse, ifile))
# Build the metadata dictionary again
metadata = _get_metadata_from_file(ifile)
# Get units
units_provided = metadata["UNIDADES DE LOS DATOS"]
units = units_provided[units_provided.find("(") + 1:
units_provided.find(")")]
# Get time step, naming is not consistent so allow for variation
for i in metadata:
if 'INTERVALO DE MUESTREO, C1' in i:
self.time_step = get_float(metadata[i].split("/")[1])
# Get number of time steps, use len(accel) because
# sometimes "NUM. TOTAL DE MUESTRAS, C1-C6" is wrong
self.number_steps = len(accel)
output = {
"Acceleration": convert_accel_units(accel, self.units),
"Time": get_time_vector(self.time_step, self.number_steps),
"Time-step": self.time_step,
"Number Steps": self.number_steps,
"Units": self.units,
"PGA": max(abs(accel)),
"PGD": None
}
return output
