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2 changed files with 72 additions and 3 deletions

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code/plot_functions.py Normal file
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'''This script contains all functions for various plots that could be relevant
for the presentation or protocol of the Grewe GP 2024'''
import os
import matplotlib.pyplot as plt
import numpy as np
import rlxnix as rlx
from useful_functions import power_spectrum
'''IMPORT DATA'''
datafolder = '../data' #./ wo ich gerade bin; ../ eine ebene höher; ../../ zwei ebenen höher
example_file = os.path.join('..', 'data', '2024-10-16-ac-invivo-1.nix')
'''EXTRACT DATA'''
dataset = rlx.Dataset(example_file)
# get sams
sams = dataset.repro_runs('SAM')
sam = sams[2]
# get stims
stimulus = sam.stimuli[-1]
stim_count = sam.stimulus_count
'''PLOTS'''
# create colormap
colors = plt.cm.prism(np.linspace(0, 1, stim_count))
# plot timeline of whole rec
dataset.plot_timeline()
# plot voltage over time for whole trace
def plot_vt_spikes(t, v, spike_t):
fig = plt.figure(figsize=(5, 2.5))
# alternative to ax = axs[0]
ax = fig.add_subplot()
# plot vt diagram
ax.plot(t[t<0.1], v[t<0.1])
# plot spikes into vt diagram, at max V
ax.scatter(spike_t[spike_t<0.1], np.ones_like(spike_t[spike_t<0.1]) * np.max(v))
plt.show()
# plot scatter plot for one sam with all 3 stims
def scatter_plot(colormap, stimuli_list, stimulus_count):
fig = plt.figure()
ax = fig.add_subplot()
ax.eventplot(stimuli_list, colors=colormap)
ax.set_xlabel('Spike Times [ms]')
ax.set_ylabel('Loop #')
ax.set_yticks(range(stimulus_count))
ax.set_title('Spikes of SAM 3')
plt.show()
# calculate power spectrum
freq, power = power_spectrum(stimulus)
# plot power spectrum
def power_spectrum_plot(f, p):
# plot power spectrum
fig = plt.figure()
ax = fig.add_subplot()
ax.plot(freq, power)
ax.set_xlabel('Frequency [Hz]')
ax.set_ylabel('Power [1/Hz]')
ax.set_xlim(0, 1000)
plt.show()
####### ADD DIANAS POWER SPECTRUM PLOT

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@ -120,7 +120,7 @@ def power_spectrum(stimulus):
Parameters
----------
stimulus : Stimulus object or rlxnix.base.repro module
The stimulus from which the data is needed.
The stimulus for which the data is needed.
Returns
-------
@ -244,13 +244,13 @@ def spike_times(stim):
"""
# reads out the spike times
spike_times, _ = stim.trace_data('Spikes-1')
spikes, _ = stim.trace_data('Spikes-1')
# reads out the duration
stim_dur = stim.duration
# get the stimulus interval
ti = stim.trace_info("V-1")
dt = ti.sampling_interval
return spike_times, stim_dur, dt
return spikes, stim_dur, dt # se changed spike_times to spikes so its not the same as name of function
'''TODO: AM-freq plot:
meaning of am peak in spectrum? why is it there how does it change with stim intensity?