PlotGTau_Voltage_SaveAsVector.py
No OneTemporary
Actions

Subscribers

None

File Metadata

	from sys import platform as sys_pf

	if sys_pf == 'darwin':
	import matplotlib

	matplotlib.use("TkAgg")

	import numpy as np
	import pandas as pd
	import scipy.signal as sig
	import Functions as f
	import shelve
	from sklearn.mixture import GaussianMixture as GMM
	import os
	import matplotlib.pyplot as plt
	import matplotlib
	import h5py
	import seaborn as sns

	from Plotting import PlotData
	# -- coding: utf-8 --



	import NanoporeClasses

	from Plotting import EventPlots
	import importlib
	importlib.reload(EventPlots)
	from bokeh.io import export_svgs
	import EventDetection

	TLfolder = r'/Volumes/lben-archives/2019 - CURRENT/Mukesh_Archives/Axopatch200B/30102019/TLfiles'


	extension='*.dat'
	coeff = {'a': 0.999,
	'E': 0,
	'S': 5,
	'maxEventLength': 50e-3,
	'minEventLength': 100e-6,
	'dt': 25,
	'hbook': 1,
	'delta': 1.2e-9,
	'ChimeraLowPass': 10e3}

	Data = EventDetection.run(TLfolder, newExtension=extension, newCoefficients=coeff, verboseLevel=0)

	CUSUMevents = Data.GetEventTypes('CUSUM')

	CUSUMdata = NanoporeClasses.AllEvents()
	CUSUMdata.AddEvent(CUSUMevents)


	(p, ph, pv) = EventPlots.PlotGTauVoltageOld(CUSUMdata, voltageLimits = [0.49, 0.51],
	xLim = [0, 1e-3], yLim = [0, 4e-9],
	showCurrent = True)





	name = 'Test'
	plots = [p, ph, pv]

	for i, plot in enumerate(plots):
	print(i)
	plot.output_backend = "svg"
	export_svgs(plot, filename=name + str(i) + "_plot_500mV_DevA.svg")