def _plot(self, axes_list, data = None):
# COMMENT_ME
if data is None:
data = self.data
if data:
plot_counts(axes_list[0], data['counts'], data['time'],'time [sec]')
def plot_data(axes_list, data):
plot_counts(
axes_list[0], data['fluor_vector'],
np.linspace(data['extent'][0], data['extent'][1],
len(data['fluor_vector'])), 'z [V]')
if data['maximum_point'] and data['max_fluor']:
axes_list[0].hold(True)
axes_list[0].plot(data['maximum_point'], data['max_fluor'], 'ro')
axes_list[0].hold(False)
def _update_plot(self, axes_list):
"""
updates the galvo scan image
Args:
axes_list: list of axes objects on which to plot plots the esr on the first axes object
"""
if np.ndim(self.data['image_data'])==2:
update_fluorescence(self.data['image_data'], axes_list[0], self.settings['min_counts_plot'], self.settings['max_counts_plot'])
elif np.ndim(self.data['image_data']) == 1:
plot_counts(axes_list[0], self.data['image_data'], np.linspace(self.data['bounds'][0],self.data['bounds'][1],len(self.data['image_data'])), self.data['varlbls'])
def _plot(self, axes_list, data=None):
"""
Plots the confocal scan image
Args:
axes_list: list of axes objects on which to plot the galvo scan on the first axes object
data: data (dictionary that contains keys image_data, extent) if not provided use self.data
"""
if data is None:
data = self.data
# plot_fluorescence_new(data['image_data'], data['extent'], self.data['varcalib'], self.data['varlbls'], self.data['varinitialpos'], axes_list[0], min_counts=self.settings['min_counts_plot'], max_counts=self.settings['max_counts_plot'])
if np.ndim(data['image_data'])==2:
plot_fluorescence_new(data['image_data'], data['extent'], self.data['varlbls'], self.data['varinitialpos'], axes_list[0], min_counts=self.settings['min_counts_plot'], max_counts=self.settings['max_counts_plot'])
elif np.ndim(data['image_data'])==1:
plot_counts(axes_list[0], data['image_data'],np.linspace(data['bounds'][0],data['bounds'][1],len(data['image_data'])),data['varlbls'])