def plot_iv_curve(self, ax=None):
# pylint: disable=E1103
title = '%s: IV Curve' % (self.cell_description or None)
if not ax:
f = QuantitiesFigure()
f.suptitle(title)
ax = f.add_subplot(1, 1, 1)
ax.set_xlabel('Injected Current')
ax.set_ylabel('SteadyStateVoltage')
V_in_mV = [
self.get_iv_point_steaddy_state(c).rescale('mV').magnitude
for c in self.currents
]
v = np.array(V_in_mV) * pq.mV
i = factorise_units_from_list(self.currents)
low_v = V_in_mV < self.v_regressor_limit if self.v_regressor_limit else range(
len(V_in_mV))
print 'i[low_v]', i[low_v]
print 'v[low_v]', v[low_v]
ax.plot(
i[low_v],
v[low_v],
)
ax.plot(
i[np.logical_not(low_v)],
v[np.logical_not(low_v)],
)
ax.plot(
i[np.logical_not(low_v)],
v[np.logical_not(low_v)],
)
# Plot the regressor:
i_units = unit('1:pA').units
v_units = unit('1:mV').units
iv = np.vstack(
(i.rescale(i_units).magnitude, v.rescale(v_units).magnitude)).T
if not len(iv[low_v, 0]):
return
(a_s, b_s, r, tt, stderr) = stats.linregress(iv[low_v, 0], iv[low_v,
1])
input_resistance = (a_s * (v_units / i_units)).rescale('MOhm')
reversal_potential = b_s * v_units
self.input_resistance = input_resistance
self.reversal_potential = reversal_potential
ax.plot(
i,
i * input_resistance + reversal_potential,
label="Fit: [V(mV) = %2.3f * I(pA) + %2.3f]" % (a_s, b_s) +
" \n[Input Resistance: %2.2fMOhm Reversal Potential: %2.2f mV" %
(input_resistance, reversal_potential))
ax.legend()
PM.save_figure(figname=title)
def plot_iv_curve(self, ax=None):
# pylint: disable=E1103
title = '%s: IV Curve' % (self.cell_description or None)
if not ax:
f = QuantitiesFigure()
f.suptitle(title)
ax = f.add_subplot(1, 1, 1)
ax.set_xlabel('Injected Current')
ax.set_ylabel('SteadyStateVoltage')
V_in_mV = [self.get_iv_point_steaddy_state(c).rescale('mV').magnitude for c in self.currents]
v = np.array(V_in_mV) * units.mV
i = morphforge.units.factorise_units_from_list(self.currents)
low_v = V_in_mV < self.v_regressor_limit if self.v_regressor_limit else range( len(V_in_mV))
print 'i[low_v]', i[low_v]
print 'v[low_v]', v[low_v]
ax.plot(i[low_v], v[low_v], )
ax.plot(i[np.logical_not(low_v)], v[np.logical_not(low_v)], )
ax.plot(i[np.logical_not(low_v)], v[np.logical_not(low_v)], )
# Plot the regressor:
i_units = qty('1:pA').units
v_units = qty('1:mV').units
iv = np.vstack((i.rescale(i_units).magnitude,
v.rescale(v_units).magnitude)).T
if not len(iv[low_v, 0]):
return
import scipy.stats as stats
(a_s, b_s, r, tt, stderr) = stats.linregress(iv[low_v, 0], iv[low_v, 1])
input_resistance = (a_s * (v_units / i_units)).rescale('MOhm')
reversal_potential = b_s * v_units
self.input_resistance = input_resistance
self.reversal_potential = reversal_potential
ax.plot(i, i*input_resistance + reversal_potential,'o-', label = "Fit: [V(mV) = %2.3f * I(pA) + %2.3f]"%(a_s, b_s) + " \n[Input Resistance: %2.2fMOhm Reversal Potential: %2.2f mV"%(input_resistance, reversal_potential) )
ax.legend()
PM.save_figure(figname=title)
def plot_traces(self, ax=None):
title = '%s: (Voltage Responses to Current Injections)' \
% self.cell_description
if not ax:
f = QuantitiesFigure()
f.suptitle(title)
ax = f.add_subplot(1, 1, 1)
ax.set_xlabel('Time')
ax.set_ylabel('Voltage')
# Plot the traces
for i_inj in self.currents:
ax.plotTrace(self.get_trace(i_inj), label='i_inj: %s'
% i_inj)
# Add the regions:
ax.axvspan(self.tSteaddyStateStart, self.tSteaddyStateStop, facecolor='g', alpha=0.25)
ax.legend()
from mreorg.scriptplots import PM
PM.save_figure(figname=title)
def plot_traces(self, ax=None):
title = '%s: (Voltage Responses to Current Injections)' \
% self.cell_description
if not ax:
f = QuantitiesFigure()
f.suptitle(title)
ax = f.add_subplot(1, 1, 1)
ax.set_xlabel('Time')
ax.set_ylabel('Voltage')
# Plot the traces
for i_inj in self.currents:
ax.plotTrace(self.get_trace(i_inj), label='i_inj: %s' % i_inj)
# Add the regions:
ax.axvspan(self.tSteaddyStateStart,
self.tSteaddyStateStop,
facecolor='g',
alpha=0.25)
ax.legend()
from mreorg.scriptplots import PM
PM.save_figure(figname=title)
