Is it possible to fix parameters while fitting distributions in SciPy? For example, this code:
import scipy.stats as st
xx = st.expon.rvs(size=100)
print st.expon.fit(xx, loc=0)
results in non-zero location ( loc
).
When some parameter is provided to the fit
function it is considered as an initial guess. And if it is provided to the constructor ( st.expon(loc=0)
) the distribution becomes "frozen" and can not be used for fitting.
To fix loc
, use the argument floc
:
print st.expon.fit(xx, floc=0)
Eg
In [33]: import scipy.stats as st
In [34]: xx = st.expon.rvs(size=100)
In [35]: print(st.expon.fit(xx, floc=0))
(0, 0.77853895325584932)
Some related questions:
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