bin.klotz Namespace Reference

Determine Klotz curve from (EDV,EDP) pair. More...

Functions
def	parser ()
def	file_dump (vdat, pdat)

Variables
float	MMHG2KPA = 0.133322387415
float	KPA2MMHG = 1.0 / MMHG2KPA
float	EDVDEFAULT = 110.0
float	EDPDEFAULT = 10.0
	xrange = range
def	opts = parser().parse_args()
	pvtraces = None
	csv_file
	ttrace = csv_file[:,0].astype('float')
	l_index = np.where(ttrace > 0)[0][0]
	ptrace = csv_file[:,1].astype('float')[0:l_index]
	vtrace = csv_file[:,2].astype('float')[0:l_index]
	silent
	plot
def	EDV = vtrace[-1] if opts.EDV is None else opts.EDV
tuple	EDP = (ptrace[-1] if opts.EDP is None else opts.EDP) * (1.0 if opts.kPa else MMHG2KPA)
	P = kl.KlotzRelation(EDV, EDP)
float	max_vol = kl.V30(EDV,EDP)*1.1 if pvtraces is None else EDV
	vdat = np.linspace(0, max_vol, 100)
	pdat = P(vdat)
	fig = pyplot.figure()
	ax = fig.add_subplot(1,1,1)
	label
	c
	marker
	loc

Detailed Description

Determine Klotz curve from (EDV,EDP) pair.

Function Documentation

file_dump()

def bin.klotz.file_dump	(		vdat,
			pdat
	)

parser()

def bin.klotz.parser

(

)

Variable Documentation

ax

bin.klotz.ax = fig.add_subplot(1,1,1)

c

bin.klotz.c

csv_file

bin.klotz.csv_file

Initial value:

=  np.loadtxt(pvtrace[i], dtype=str, skiprows=1, comments='#',
                                   delimiter=',')

EDP

tuple bin.klotz.EDP = (ptrace[-1] if opts.EDP is None else opts.EDP) * (1.0 if opts.kPa else MMHG2KPA)

EDPDEFAULT

float bin.klotz.EDPDEFAULT = 10.0

EDV

float bin.klotz.EDV = vtrace[-1] if opts.EDV is None else opts.EDV

EDVDEFAULT

float bin.klotz.EDVDEFAULT = 110.0

fig

bin.klotz.fig = pyplot.figure()

KPA2MMHG

float bin.klotz.KPA2MMHG = 1.0 / MMHG2KPA

l_index

bin.klotz.l_index = np.where(ttrace > 0)[0][0]

label

bin.klotz.label

loc

bin.klotz.loc

marker

bin.klotz.marker

max_vol

float bin.klotz.max_vol = kl.V30(EDV,EDP)*1.1 if pvtraces is None else EDV

MMHG2KPA

float bin.klotz.MMHG2KPA = 0.133322387415

opts

def bin.klotz.opts = parser().parse_args()

P

bin.klotz.P = kl.KlotzRelation(EDV, EDP)

pdat

bin.klotz.pdat = P(vdat)

plot

bin.klotz.plot

ptrace

bin.klotz.ptrace = csv_file[:,1].astype('float')[0:l_index]

pvtraces

list bin.klotz.pvtraces = None

silent

bin.klotz.silent

ttrace

bin.klotz.ttrace = csv_file[:,0].astype('float')

vdat

bin.klotz.vdat = np.linspace(0, max_vol, 100)

vtrace

bin.klotz.vtrace = csv_file[:,2].astype('float')[0:l_index]

xrange

bin.klotz.xrange = range