Operating System
Unix (e.g., Ubuntu 20.04)
Version
No response
Python Version (optional)
3.7
Python Virtual Environment
Conda (or related)
Execution Environment
Local environment after installation of all external dependencies
Bug Description
What do NA values in some of the grids (the black ones) mean? How should I deal with them?

Steps to Reproduce
I was using the flags -tomap circular_variance -proj mollweide -s 10
Relevant Log Output
180 10 Inf NA
180 20 NA NA
180 30 NA NA
180 40 NA NA
180 50 NA NA
180 60 NA NA
180 70 0.606 NA
180 80 0.6 NA
180 90 0.608 NA
180 100 0.605 MET_6_A, GLU_7_A, LYS_8_A, SER_9_A
180 110 0.6 SER_3_A, SER_4_A, GLU_5_A, MET_6_A, GLU_7_A
180 120 0.562 MET_1_A, GLY_2_A, SER_3_A, SER_4_A, GLU_5_A
180 130 0.524 MET_1_A
180 140 0.41 NA
180 150 NA NA
180 160 NA NA
180 170 NA NA
180 180 Inf NA
190 10 Inf NA
190 20 NA NA
190 30 NA NA
190 40 NA NA
190 50 NA NA
190 60 NA NA
190 70 NA NA
190 80 NA NA
Additional context (optional)
No response
Confirmation
Operating System
Unix (e.g., Ubuntu 20.04)
Version
No response
Python Version (optional)
3.7
Python Virtual Environment
Conda (or related)
Execution Environment
Local environment after installation of all external dependencies
Bug Description
What do NA values in some of the grids (the black ones) mean? How should I deal with them?
Steps to Reproduce
I was using the flags -tomap circular_variance -proj mollweide -s 10
Relevant Log Output
Additional context (optional)
No response
Confirmation