You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I have met a problem when I calculated the lognormal fit for my data and please see the attached figure: the line of the lognormal fit is with a stranger tail. The mu is -1588.917372009445, and the sigma is 41.589543252067116. I have no idea if it is right.
the code is :
results = powerlaw.Fit(data,xmax=N,discrete=True,estimate_discrete=False,discrete_approximation='xmax')
fig = results.plot_pdf(linewidth=3,label='Empirical Data')
results.power_law.plot_pdf(ax=fig,color='r',linestyle='-')
results.lognormal.plot_pdf(ax=fig,color='y',linestyle='-')
Thanks in advance for any insights.
if I don't set the xmax, then the figure is:
Reese
The text was updated successfully, but these errors were encountered:
Hi Dr. Alstott,
I have met a problem when I calculated the lognormal fit for my data and please see the attached figure: the line of the lognormal fit is with a stranger tail. The mu is -1588.917372009445, and the sigma is 41.589543252067116. I have no idea if it is right.
the code is :
results = powerlaw.Fit(data,xmax=N,discrete=True,estimate_discrete=False,discrete_approximation='xmax')
fig = results.plot_pdf(linewidth=3,label='Empirical Data')
results.power_law.plot_pdf(ax=fig,color='r',linestyle='-')
results.lognormal.plot_pdf(ax=fig,color='y',linestyle='-')
Thanks in advance for any insights.
if I don't set the xmax, then the figure is:
Reese
The text was updated successfully, but these errors were encountered: