process_dir_estimate Namespace Reference

Classes
class	Scan
Functions
def	desired_ant
def	get_mean
Variables
tuple	bins = (XBINS,YBINS)
tuple	bins_ind_x = np.sum( xy[0][:,np.newaxis] > xedges[:-1], axis = 1 )
tuple	bins_ind_y = np.sum( xy[1][:,np.newaxis] > yedges[:-1], axis = 1 )
tuple	d_new = pkl.load( f )
list	dist = npstats[2]
tuple	f = open( yaml_fname )
tuple	fnames = reduce( lambda x,y: x+y, [ glob.glob(i) for i in yaml_config['glob_files'] ], [] )
string	help = 'yaml file that describes this run.'
list	herr = npstats[5]
tuple	ind_d = np.sum( dist[:,np.newaxis] > bins_d[:-1], axis=1)
tuple	ind_r = np.sum( rssi[:,np.newaxis] > bins_r[:-1], axis=1)
tuple	magherr = np.abs( herr )
tuple	magherr_md = np.array([ np.mean( magherr[ np.where( ind_d == i )[0] ]) for i in xrange(len(h_d)) ])
tuple	magherr_mr = np.array([ np.mean( magherr[ np.where( ind_r == i )[0] ]) for i in xrange(len(h_r)) ])
tuple	magherr_sd = np.array([ np.std( magherr[ np.where( ind_d == i )[0] ]) for i in xrange(len(h_d)) ])
tuple	magherr_sr = np.array([ np.std( magherr[ np.where( ind_r == i )[0] ]) for i in xrange(len(h_r)) ])
tuple	magherr_Z = np.ma.array( np.copy(H.T), mask=(H.T < 1) )
tuple	magserr = np.abs( serr )
tuple	magserr_md = np.array([ np.mean( magserr[ np.where( ind_d == i )[0] ]) for i in xrange(len(h_d)) ])
tuple	magserr_mr = np.array([ np.mean( magserr[ np.where( ind_r == i )[0] ]) for i in xrange(len(h_r)) ])
tuple	magserr_sd = np.array([ np.std( magserr[ np.where( ind_d == i )[0] ]) for i in xrange(len(h_d)) ])
tuple	magserr_sr = np.array([ np.std( magserr[ np.where( ind_r == i )[0] ]) for i in xrange(len(h_r)) ])
tuple	magserr_Z = np.ma.array( np.copy(H.T), mask=(H.T < 1) )
tuple	npstats = np.array( stats )
tuple	num_d = np.array([ len( np.where( ind_d == i )[0] ) for i in xrange(len(h_d)) ])
tuple	num_r = np.array([ len( np.where( ind_r == i )[0] ) for i in xrange(len(h_r)) ])
tuple	p = optparse.OptionParser()
	PLOT = False
list	range
list	rssi = npstats[3]
list	scans = []
list	serr = npstats[7]
int	skipped = 0
tuple	sr = string.rfind( f, '/' )
list	stats = []
int	XBINS = 9
float	XMAX = 11.0
float	XMIN = 0.0
tuple	xy
tuple	yaml_config = yaml.load( f )
	yaml_fname = opt.yaml
int	YBINS = 5
float	YMAX = 7.0
float	YMIN = 0.0

---

Function Documentation

def process_dir_estimate.desired_ant

(

r

)

Definition at line 51 of file process_dir_estimate.py.

def process_dir_estimate.get_mean	(		xi,
			yi,
			darr
	)

Definition at line 316 of file process_dir_estimate.py.

---

Variable Documentation

tuple process_dir_estimate::bins = (XBINS,YBINS)

Definition at line 308 of file process_dir_estimate.py.

tuple process_dir_estimate::bins_ind_x = np.sum( xy[0][:,np.newaxis] > xedges[:-1], axis = 1 )

Definition at line 313 of file process_dir_estimate.py.

tuple process_dir_estimate::bins_ind_y = np.sum( xy[1][:,np.newaxis] > yedges[:-1], axis = 1 )

Definition at line 314 of file process_dir_estimate.py.

tuple process_dir_estimate::d_new = pkl.load( f )

Definition at line 148 of file process_dir_estimate.py.

list process_dir_estimate::dist = npstats[2]

Definition at line 209 of file process_dir_estimate.py.

tuple process_dir_estimate::f = open( yaml_fname )

Definition at line 47 of file process_dir_estimate.py.

tuple process_dir_estimate::fnames = reduce( lambda x,y: x+y, [ glob.glob(i) for i in yaml_config['glob_files'] ], [] )

Definition at line 137 of file process_dir_estimate.py.

string process_dir_estimate::help = 'yaml file that describes this run.'

Definition at line 32 of file process_dir_estimate.py.

list process_dir_estimate::herr = npstats[5]

Definition at line 188 of file process_dir_estimate.py.

tuple process_dir_estimate::ind_d = np.sum( dist[:,np.newaxis] > bins_d[:-1], axis=1)

Definition at line 211 of file process_dir_estimate.py.

tuple process_dir_estimate::ind_r = np.sum( rssi[:,np.newaxis] > bins_r[:-1], axis=1)

Definition at line 216 of file process_dir_estimate.py.

tuple process_dir_estimate::magherr = np.abs( herr )

Definition at line 189 of file process_dir_estimate.py.

tuple process_dir_estimate::magherr_md = np.array([ np.mean( magherr[ np.where( ind_d == i )[0] ]) for i in xrange(len(h_d)) ])

Definition at line 220 of file process_dir_estimate.py.

tuple process_dir_estimate::magherr_mr = np.array([ np.mean( magherr[ np.where( ind_r == i )[0] ]) for i in xrange(len(h_r)) ])

Definition at line 229 of file process_dir_estimate.py.

tuple process_dir_estimate::magherr_sd = np.array([ np.std( magherr[ np.where( ind_d == i )[0] ]) for i in xrange(len(h_d)) ])

Definition at line 221 of file process_dir_estimate.py.

tuple process_dir_estimate::magherr_sr = np.array([ np.std( magherr[ np.where( ind_r == i )[0] ]) for i in xrange(len(h_r)) ])

Definition at line 230 of file process_dir_estimate.py.

tuple process_dir_estimate::magherr_Z = np.ma.array( np.copy(H.T), mask=(H.T < 1) )

Definition at line 324 of file process_dir_estimate.py.

tuple process_dir_estimate::magserr = np.abs( serr )

Definition at line 199 of file process_dir_estimate.py.

tuple process_dir_estimate::magserr_md = np.array([ np.mean( magserr[ np.where( ind_d == i )[0] ]) for i in xrange(len(h_d)) ])

Definition at line 224 of file process_dir_estimate.py.

tuple process_dir_estimate::magserr_mr = np.array([ np.mean( magserr[ np.where( ind_r == i )[0] ]) for i in xrange(len(h_r)) ])

Definition at line 233 of file process_dir_estimate.py.

tuple process_dir_estimate::magserr_sd = np.array([ np.std( magserr[ np.where( ind_d == i )[0] ]) for i in xrange(len(h_d)) ])

Definition at line 225 of file process_dir_estimate.py.

tuple process_dir_estimate::magserr_sr = np.array([ np.std( magserr[ np.where( ind_r == i )[0] ]) for i in xrange(len(h_r)) ])

Definition at line 234 of file process_dir_estimate.py.

tuple process_dir_estimate::magserr_Z = np.ma.array( np.copy(H.T), mask=(H.T < 1) )

Definition at line 325 of file process_dir_estimate.py.

tuple process_dir_estimate::npstats = np.array( stats )

Definition at line 183 of file process_dir_estimate.py.

tuple process_dir_estimate::num_d = np.array([ len( np.where( ind_d == i )[0] ) for i in xrange(len(h_d)) ])

Definition at line 212 of file process_dir_estimate.py.

tuple process_dir_estimate::num_r = np.array([ len( np.where( ind_r == i )[0] ) for i in xrange(len(h_r)) ])

Definition at line 217 of file process_dir_estimate.py.

tuple process_dir_estimate::p = optparse.OptionParser()

Definition at line 30 of file process_dir_estimate.py.

process_dir_estimate::PLOT = False

Definition at line 27 of file process_dir_estimate.py.

list process_dir_estimate::range

Initial value:

[[XMIN,XMAX],
                                         [YMIN,YMAX]]

Definition at line 309 of file process_dir_estimate.py.

list process_dir_estimate::rssi = npstats[3]

Definition at line 214 of file process_dir_estimate.py.

list process_dir_estimate::scans = []

Definition at line 144 of file process_dir_estimate.py.

list process_dir_estimate::serr = npstats[7]

Definition at line 198 of file process_dir_estimate.py.

int process_dir_estimate::skipped = 0

Definition at line 155 of file process_dir_estimate.py.

tuple process_dir_estimate::sr = string.rfind( f, '/' )

Definition at line 177 of file process_dir_estimate.py.

list process_dir_estimate::stats = []

Definition at line 156 of file process_dir_estimate.py.

int process_dir_estimate::XBINS = 9

Definition at line 297 of file process_dir_estimate.py.

float process_dir_estimate::XMAX = 11.0

Definition at line 300 of file process_dir_estimate.py.

float process_dir_estimate::XMIN = 0.0

Definition at line 299 of file process_dir_estimate.py.

tuple process_dir_estimate::xy

Initial value:

np.row_stack([ npstats[0],
                    npstats[1] ])

Definition at line 304 of file process_dir_estimate.py.

tuple process_dir_estimate::yaml_config = yaml.load( f )

Definition at line 48 of file process_dir_estimate.py.

string process_dir_estimate::yaml_fname = opt.yaml

Definition at line 37 of file process_dir_estimate.py.

int process_dir_estimate::YBINS = 5

Definition at line 298 of file process_dir_estimate.py.

float process_dir_estimate::YMAX = 7.0

Definition at line 302 of file process_dir_estimate.py.

float process_dir_estimate::YMIN = 0.0

Definition at line 301 of file process_dir_estimate.py.