NaMaster wrapper #21
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NaMaster wrapper #21
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tjpcov/main.py
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| """ | ||
| Compute all the covariances and then combine them into one single giant matrix | ||
| Parameters: | ||
| ----------- | ||
| two_point_data (sacc obj): sacc object containg two_point data | ||
| **kwards: The arguments to pass to your chosen covariance estimation |
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I think this is typically called kwargs
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Right. Changed
tjpcov/main.py
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| @@ -486,23 +650,28 @@ def cl_gaussian_cov(self, tracer_comb1=None, tracer_comb2=None, | |||
| # cov[1423]=None #if want to save memory | |||
| return cov | |||
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| def get_all_cov(self, do_xi=False): | |||
| def get_all_cov(self, do_xi=False, use_nmt=False, **kwards): | |||
add healpy to requirements for namaster implementation
sukhdeep2
requested changes
Aug 2, 2021
sukhdeep2
approved these changes
Aug 20, 2021
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Work in progress on one of the codes of #3.
Closes #16
Note: Same as #11 but from a local branch. Now that I've got permissions I will push commits to this PR and close #11.