Description
Hello, sorry to bother you again.
Q1: I have use brain cortical curv of each vertex as filteration value, but when i use the following code:
for i in range(len(data_vertices)):
st.assign_filtration([i], filtration = filteration_value[i])
#st.assign_filtration([0], filtration = filteration_value[0])#success!
#st.assign_filtration([0], filtration = filteration_value[i])#success!
error:Process finished with exit code -1073741819 (0xC0000005)
I have tried some solution, but it's doesn't work! I'm curious why filter values can only be fed one node at a time.
Q2: I add filter value manually
st.assign_filtration([0], filtration = filteration_value[0])
st.assign_filtration([1], filtration = filteration_value[1])
st.assign_filtration([2], filtration = filteration_value[2])
st.assign_filtration([3], filtration = filteration_value[3])
But you said use extended_persistence, I have use it, but :
st2 = gd.SimplexTree()
st2.extend_filtration()
dgms2 = st2.extended_persistence(min_persistence=1e-5)
gd.plot_persistence_barcode(dgms2)#IndexError: list index out of range
plt.show()
the error message:
IndexError: list index out of range
but when I use gd.plot_persistence_barcode(dgm),use ordinary persistent barcode, there's no problem. What code should I use to get the extended continuous bar code directly?
Q3: I've added filter values to each node. What pair of distances do I need to use to weight the edges?
Q4: Afetr I get the extended_persistent_barcode, How to get betti???
My datasets and codes are in:https://github.com/tanjia123456/Brain_area_PH/blob/main/compute_betti_gudhi3.py