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correlators.show appearence changed
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1 changed files with 8 additions and 9 deletions
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@ -23,7 +23,7 @@ class Corr:
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def __init__(self, data_input,padding_front=0,padding_back=0):
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def __init__(self, data_input,padding_front=0,padding_back=0):
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#All data_input should be a list of things at different timeslices. This needs to be verified
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#All data_input should be a list of things at different timeslices. This needs to be verified
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if not isinstance(data_input,list):
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if not (isinstance(data_input,list)):
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raise TypeError('Corr__init__ expects a list of timeslices.')
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raise TypeError('Corr__init__ expects a list of timeslices.')
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# data_input can have multiple shapes. The simplest one is a list of Obs.
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# data_input can have multiple shapes. The simplest one is a list of Obs.
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#We check, if this is the case
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#We check, if this is the case
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@ -265,7 +265,7 @@ class Corr:
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xrange=[0,self.T]
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xrange=[0,self.T]
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x,y,y_err=self.plottable()
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x,y,y_err=self.plottable()
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plt.errorbar(x,y,y_err,fmt="o-")
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plt.errorbar(x,y,y_err)
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if logscale:
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if logscale:
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plt.yscale("log")
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plt.yscale("log")
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else:
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else:
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@ -274,10 +274,9 @@ class Corr:
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y_max=max([ (x[0].value+x[0].dvalue) for x in self.content[xrange[0]:xrange[1]] if(not x is None)])
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y_max=max([ (x[0].value+x[0].dvalue) for x in self.content[xrange[0]:xrange[1]] if(not x is None)])
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plt.ylim([y_min-0.1*(y_max-y_min),y_max+0.1*(y_max-y_min)])
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plt.ylim([y_min-0.1*(y_max-y_min),y_max+0.1*(y_max-y_min)])
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plt.xlabel(r"$n_t$ [a]")
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plt.xlabel(r"$an_t$")
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plt.xlim(xrange)
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plt.xlim([xrange[0] - 0.5, xrange[1] + 0.5])
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plt.title("Quickplot")
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plt.title("Quickplot")
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plt.grid()
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plt.show()
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plt.show()
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plt.clf()
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plt.clf()
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