Namespaces |
namespace | rfid_datacapture::process_radpat_plots |
Functions |
def | rfid_datacapture::process_radpat_plots.add_files |
def | rfid_datacapture::process_radpat_plots.get_mean |
def | rfid_datacapture::process_radpat_plots.get_std |
def | rfid_datacapture::process_radpat_plots.planar_xy |
Variables |
tuple | rfid_datacapture::process_radpat_plots.all_reads |
tuple | rfid_datacapture::process_radpat_plots.ant_dict = dict.fromkeys( yaml_config['filters']['antennas'] ) |
tuple | rfid_datacapture::process_radpat_plots.bins = (XBINS,YBINS) |
tuple | rfid_datacapture::process_radpat_plots.bins_ind_x = np.sum( xy[0][:,np.newaxis] > xedges[:-1], axis = 1 ) |
tuple | rfid_datacapture::process_radpat_plots.bins_ind_y = np.sum( xy[1][:,np.newaxis] > yedges[:-1], axis = 1 ) |
tuple | rfid_datacapture::process_radpat_plots.d = reduce( add_files, zip(fnames,range(len(fnames))), {} ) |
tuple | rfid_datacapture::process_radpat_plots.data = pkl.load( f ) |
tuple | rfid_datacapture::process_radpat_plots.dma = np.ma.array( d, mask=(d<yaml_config['points_per_loc']) ) |
tuple | rfid_datacapture::process_radpat_plots.dma_det = np.ma.array( np.copy(H_pos.T), mask=(H.T<yaml_config['points_per_loc']) ) |
tuple | rfid_datacapture::process_radpat_plots.dma_rm = np.ma.array( np.copy(H_pos.T), mask=(H_pos.T<yaml_config['rssi_points_per_loc']) ) |
tuple | rfid_datacapture::process_radpat_plots.f = open( yaml_fname ) |
list | rfid_datacapture::process_radpat_plots.filt_reads = [ r for r in all_reads if ant_dict.has_key( r[2][1] ) ] |
list | rfid_datacapture::process_radpat_plots.fname = yaml_config['use_combined'] |
tuple | rfid_datacapture::process_radpat_plots.fnames = reduce( lambda x,y: x+y, [ glob.glob(i) for i in yaml_config['glob_files'] ], [] ) |
string | rfid_datacapture::process_radpat_plots.help = 'yaml file that describes this run.' |
tuple | rfid_datacapture::process_radpat_plots.means = np.ma.copy( dma_rm ) |
dictionary | rfid_datacapture::process_radpat_plots.MODEL |
int | rfid_datacapture::process_radpat_plots.neg_mask = 1 |
tuple | rfid_datacapture::process_radpat_plots.p = optparse.OptionParser() |
| rfid_datacapture::process_radpat_plots.PLOT = False |
int | rfid_datacapture::process_radpat_plots.pos_mask = 1 |
list | rfid_datacapture::process_radpat_plots.range |
| rfid_datacapture::process_radpat_plots.reads = filt_reads |
list | rfid_datacapture::process_radpat_plots.rssi = data[2] |
tuple | rfid_datacapture::process_radpat_plots.stddev = np.ma.copy( dma_rm ) |
int | rfid_datacapture::process_radpat_plots.XBINS = 50 |
list | rfid_datacapture::process_radpat_plots.XMAX = yaml_config['rad_histbins'] |
list | rfid_datacapture::process_radpat_plots.XMIN = yaml_config['rad_histbins'] |
list | rfid_datacapture::process_radpat_plots.xy = data[0:2,:] |
tuple | rfid_datacapture::process_radpat_plots.yaml_config = yaml.load( f ) |
| rfid_datacapture::process_radpat_plots.yaml_fname = opt.yaml |
int | rfid_datacapture::process_radpat_plots.YBINS = 50 |
list | rfid_datacapture::process_radpat_plots.YMAX = yaml_config['rad_histbins'] |
list | rfid_datacapture::process_radpat_plots.YMIN = yaml_config['rad_histbins'] |