def newfunc(data):
result = XPadDataItem()
if data.name != "":
result.name = name + "( " + data.name + " )"
result.source = data.source
if data.label != "":
result.label = name + "( " + data.label + " )"
result.data = func(data.data)
result.dim = data.dim
result.order = data.order
result.time = data.time
return result
def chop(item, t_min, t_max):
"""
>>> from user_functions import *
>>> a = chop(XMC_OMV_110, 0.274, 0.276)
>>> a_amp,a_phase = fftp(a)
>>> b = chop(a_phase, 0.0, 100.0)
>>> plot(b)
"""
if len(item.dim) != 1:
raise ValueError("chop can only operate on 1D traces currently")
if t_max < t_min or t_max < item.dim[0].data[0] or t_min > item.dim[0].data[-1]:
raise ValueError("New time-range not defined correctly")
idx = np.where(np.logical_and(item.dim[0].data >= t_min, item.dim[0].data <= t_max))
if len(idx[0]) == 0:
raise ValueError("No data in time-range specified")
# Calculate the phase
chopped = XPadDataItem()
if item.name != "":
chopped.name = "CHOP( "+item.name+", "+str(t_min)+", "+str(t_max)+" )"
chopped.source = item.source
if item.label != "":
chopped.label = "CHOP( "+item.label+", "+str(t_min)+", "+str(t_max)+" )"
chopped.units = item.units
chopped.data = item.data[idx]
# Create a dimension
dim = XPadDataDim()
dim.name = item.dim[0].name
dim.label = item.dim[0].label
dim.units = item.dim[0].units
dim.data = item.dim[0].data[idx]
chopped.dim = [dim]
if chopped.dim[0].units in ["s", "S", "sec", "Sec", "SEC"]:
chopped.order = 0
chopped.time = chopped.dim[0].data
return chopped
def integrate(item):
"""
Integrate the given trace
Inputs
------
item - an XPadDataItem object (or equivalent)
Returns
-------
an XPadDataItem object
"""
if len(item.dim) != 1:
raise ValueError("Can only integrate 1D traces currently")
# Create a result
result = XPadDataItem()
if item.name != "":
result.name = "INTG( "+item.name+" )"
result.source = item.source
if item.label != "":
result.label = "INTG( "+item.label+" )"
if item.units != "":
result.units = item.units+"*"+item.dim[0].units
result.data = zeros(item.data.shape)
time = item.dim[0].data
result.data[1:] = cumsum(0.5*(time[1:]-time[0:-1])*(item.data[1:] + item.data[0:-1]))
result.dim = item.dim
result.order = item.order
result.time = item.time
return result
def parse_padsav(xpad_idl_dict):
"""
Reads data from an idl_dict object into XPadDataItem objects
Parameters
----------
xpad_idl_dict : AttrDict or dict
Input dict from an XPad *.padsav imported using scipy.io.readsav
Returns
-------
items : list
A list of XPadDataItems
"""
if not check_padsav(xpad_idl_dict): return None
items = []
for trace in xpad_idl_dict['ptr']:
item = XPadDataItem()
item.name = trace['NAME'][0]
item.source = trace['SOURCE'][0]
item.label = trace['DINFO'][0]['LABEL'][0]
item.units = trace['DINFO'][0]['UNITS'][0]
numdims = trace['SIZE'][0][0]
item.data = rollaxis(trace['DATA'][0], numdims - 1)
if numdims > 0:
# f(t), f(t,x) or f(t,x,y)
dim = XPadDataDim()
# If we have a time domain, use data from TINFO
if trace['TINFO'][0]['DOMAINS'][0] > 0:
dim.data = linspace(trace['TINFO'][0]['START'][0],trace['TINFO'][0]['FINISH'][0],trace['TINFO'][0]['LENGTH'])
else:
dim.data = trace['TIME'][0]
dim.name = trace['TINFO'][0]['LABEL'][0]
dim.label = dim.name
dim.units = trace['TINFO'][0]['UNITS'][0]
item.dim.append(dim)
item.order = len(item.dim) - 1
item.time = item.dim[item.order].data
if numdims > 2:
# f(t,x,y)
dim = XPadDataDim()
dim.data = trace['Y'][0]
dim.name = trace['YINFO'][0]['LABEL'][0]
dim.label = dim.name
dim.units = trace['YINFO'][0]['UNITS'][0]
item.dim.append(dim)
if numdims > 1:
# f(t,x) or f(t,x,y)
dim = XPadDataDim()
dim.data = trace['X'][0]
dim.name = trace['XINFO'][0]['LABEL'][0]
dim.label = dim.name
dim.units = trace['XINFO'][0]['UNITS'][0]
item.dim.append(dim)
item.desc = trace['TYPE'][0]
items.append(item)
return items
