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correlators.show appearence changed

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Fabian Joswig 2021-09-24 15:45:56 +01:00
parent c07f0629fa
commit 63037fd98f
1 changed files with 8 additions and 9 deletions
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pyerrors/correlators.py
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@ -10,9 +10,9 @@ import matplotlib
class Corr: class Corr:
"""The class for a correlator (time dependent sequence of pe.Obs). """The class for a correlator (time dependent sequence of pe.Obs).
Everything, this class does, can be achieved using lists or arrays of Obs. Everything, this class does, can be achieved using lists or arrays of Obs.
But it is simply more convenient to have a dedicated object for correlators. But it is simply more convenient to have a dedicated object for correlators.
One often wants to add or multiply correlators of the same length at every timeslice and it is inconvinient One often wants to add or multiply correlators of the same length at every timeslice and it is inconvinient
to iterate over all timeslices for every operation. This is especially true, when dealing with smearing matrices. to iterate over all timeslices for every operation. This is especially true, when dealing with smearing matrices.
The correlator can have two types of content: An Obs at every timeslice OR a GEVP The correlator can have two types of content: An Obs at every timeslice OR a GEVP
@ -23,7 +23,7 @@ class Corr:
def __init__(self, data_input,padding_front=0,padding_back=0): def __init__(self, data_input,padding_front=0,padding_back=0):
#All data_input should be a list of things at different timeslices. This needs to be verified #All data_input should be a list of things at different timeslices. This needs to be verified
if not isinstance(data_input,list): if not (isinstance(data_input,list)):
raise TypeError('Corr__init__ expects a list of timeslices.') raise TypeError('Corr__init__ expects a list of timeslices.')
# data_input can have multiple shapes. The simplest one is a list of Obs. # data_input can have multiple shapes. The simplest one is a list of Obs.
#We check, if this is the case #We check, if this is the case
@ -173,7 +173,7 @@ class Corr:
sp_vec = sp_vec/np.sqrt(sp_vec@sp_vec) sp_vec = sp_vec/np.sqrt(sp_vec@sp_vec)
return sp_vec return sp_vec
def deriv(self, symmetric=False): #Defaults to forward derivative f'(t)=f(t+1)-f(t) def deriv(self, symmetric=False): #Defaults to forward derivative f'(t)=f(t+1)-f(t)
if not symmetric: if not symmetric:
newcontent = [] newcontent = []
for t in range(self.T - 1): for t in range(self.T - 1):
@ -265,7 +265,7 @@ class Corr:
xrange=[0,self.T] xrange=[0,self.T]
x,y,y_err=self.plottable() x,y,y_err=self.plottable()
plt.errorbar(x,y,y_err,fmt="o-") plt.errorbar(x,y,y_err)
if logscale: if logscale:
plt.yscale("log") plt.yscale("log")
else: else:
@ -274,10 +274,9 @@ class Corr:
y_max=max([ (x[0].value+x[0].dvalue) for x in self.content[xrange[0]:xrange[1]] if(not x is None)]) y_max=max([ (x[0].value+x[0].dvalue) for x in self.content[xrange[0]:xrange[1]] if(not x is None)])
plt.ylim([y_min-0.1*(y_max-y_min),y_max+0.1*(y_max-y_min)]) plt.ylim([y_min-0.1*(y_max-y_min),y_max+0.1*(y_max-y_min)])
plt.xlabel(r"$n_t$ [a]") plt.xlabel(r"$an_t$")
plt.xlim(xrange) plt.xlim([xrange[0] - 0.5, xrange[1] + 0.5])
plt.title("Quickplot") plt.title("Quickplot")
plt.grid()
plt.show() plt.show()
plt.clf() plt.clf()