diff --git a/rules/S6711/python/rule.adoc b/rules/S6711/python/rule.adoc
index b78af8e1664..18be06abf94 100644
--- a/rules/S6711/python/rule.adoc
+++ b/rules/S6711/python/rule.adoc
@@ -8,6 +8,307 @@ Using a predictable seed is a common best practice when using NumPy to create re
 
 Instead, the preferred best practice to generate reproducible pseudorandom numbers is to instantiate a `numpy.random.Generator` object with a seed and reuse it in different parts of the code. This avoids the reliance on a global state. Whenever a new seed is needed, a new generator may be created instead of mutating a global state.
 
+Below is the list of all the legacy functions and their alternatives:
+
+[cols="1,1"]
+|===
+|Legacy function name
+|numpy.random.Generator alternative
+
+|numpy.random.RandomState.get_state
+| -
+
+|numpy.random.RandomState.set_state
+| -
+
+|numpy.random.RandomState.seed
+|numpy.random.default_rng
+
+|numpy.random.RandomState.rand
+|numpy.random.Generator.random
+
+|numpy.random.RandomState.randn
+|numpy.random.Generator.standard_normal
+
+|numpy.random.RandomState.randint
+|numpy.random.Generator.integers
+
+|numpy.random.RandomState.random_integers
+|numpy.random.Generator.integers
+
+|numpy.random.RandomState.random_sample
+|numpy.random.Generator.random
+
+|numpy.random.RandomState.choice
+|numpy.random.Generator.choice
+
+|numpy.random.RandomState.bytes
+|numpy.random.Generator.bytes
+
+|numpy.random.RandomState.shuffle
+|numpy.random.Generator.shuffle
+
+|numpy.random.RandomState.permutation
+|numpy.random.Generator.permutation
+
+|numpy.random.RandomState.beta
+|numpy.random.Generator.beta
+
+|numpy.random.RandomState.binomial
+|numpy.random.Generator.binomial
+
+|numpy.random.RandomState.chisquare
+|numpy.random.Generator.chisquare
+
+|numpy.random.RandomState.dirichlet
+|numpy.random.Generator.dirichlet
+
+|numpy.random.RandomState.exponential
+|numpy.random.Generator.exponential
+
+|numpy.random.RandomState.f
+|numpy.random.Generator.f
+
+|numpy.random.RandomState.gamma
+|numpy.random.Generator.gamma
+
+|numpy.random.RandomState.geometric
+|numpy.random.Generator.geometric
+
+|numpy.random.RandomState.gumbel
+|numpy.random.Generator.gumbel
+
+|numpy.random.RandomState.hypergeometric
+|numpy.random.Generator.hypergeometric
+
+|numpy.random.RandomState.laplace
+|numpy.random.Generator.laplace
+
+|numpy.random.RandomState.logistic
+|numpy.random.Generator.logistic
+
+|numpy.random.RandomState.lognormal
+|numpy.random.Generator.lognormal
+
+|numpy.random.RandomState.logseries
+|numpy.random.Generator.logseries
+
+|numpy.random.RandomState.multinomial
+|numpy.random.Generator.multinomial
+
+|numpy.random.RandomState.multivariate_normal
+|numpy.random.Generator.multivariate_normal
+
+|numpy.random.RandomState.negative_binomial
+|numpy.random.Generator.negative_binomial
+
+|numpy.random.RandomState.noncentral_chisquare
+|numpy.random.Generator.noncentral_chisquare
+
+|numpy.random.RandomState.noncentral_f
+|numpy.random.Generator.noncentral_f
+
+|numpy.random.RandomState.normal
+|numpy.random.Generator.normal
+
+|numpy.random.RandomState.pareto
+|numpy.random.Generator.pareto
+
+|numpy.random.RandomState.poisson
+|numpy.random.Generator.poisson
+
+|numpy.random.RandomState.power
+|numpy.random.Generator.power
+
+|numpy.random.RandomState.rayleigh
+|numpy.random.Generator.rayleigh
+
+|numpy.random.RandomState.standard_cauchy
+|numpy.random.Generator.standard_cauchy
+
+|numpy.random.RandomState.standard_exponential
+|numpy.random.Generator.standard_exponential
+
+|numpy.random.RandomState.standard_gamma
+|numpy.random.Generator.standard_gamma
+
+|numpy.random.RandomState.standard_normal
+|numpy.random.Generator.standard_normal
+
+|numpy.random.RandomState.standard_t
+|numpy.random.Generator.standard_t
+
+|numpy.random.RandomState.triangular
+|numpy.random.Generator.triangular
+
+|numpy.random.RandomState.uniform
+|numpy.random.Generator.uniform
+
+|numpy.random.RandomState.vonmises
+|numpy.random.Generator.vonmises
+
+|numpy.random.RandomState.wald
+|numpy.random.Generator.wald
+
+|numpy.random.RandomState.weibull
+|numpy.random.Generator.weibull
+
+|numpy.random.RandomState.zipf
+|numpy.random.Generator.zipf
+
+|numpy.random.beta
+|numpy.random.Generator.beta
+
+|numpy.random.binomial
+|numpy.random.Generator.binomial
+
+|numpy.random.bytes
+|numpy.random.Generator.bytes
+
+|numpy.random.chisquare
+|numpy.random.Generator.chisquare
+
+|numpy.random.choice
+|numpy.random.Generator.choice
+
+|numpy.random.dirichlet
+|numpy.random.Generator.dirichlet
+
+|numpy.random.exponential
+|numpy.random.Generator.exponential
+
+|numpy.random.f
+|numpy.random.Generator.f
+
+|numpy.random.gamma
+|numpy.random.Generator.gamma
+
+|numpy.random.geometric
+|numpy.random.Generator.geometric
+
+|numpy.random.get_state
+| - 
+
+|numpy.random.gumbel
+|numpy.random.Generator.gumbel
+
+|numpy.random.hypergeometric
+|numpy.random.Generator.hypergeometric
+
+|numpy.random.laplace
+|numpy.random.Generator.laplace
+
+|numpy.random.logistic
+|numpy.random.Generator.logistic
+
+|numpy.random.lognormal
+|numpy.random.Generator.lognormal
+
+|numpy.random.logseries
+|numpy.random.Generator.logseries
+
+|numpy.random.multinomial
+|numpy.random.Generator.multinomial
+
+|numpy.random.multivariate_normal
+|numpy.random.Generator.multivariate_normal
+
+|numpy.random.negative_binomial
+|numpy.random.Generator.negative_binomial
+
+|numpy.random.noncentral_chisquare
+|numpy.random.Generator.noncentral_chisquare
+
+|numpy.random.noncentral_f
+|numpy.random.Generator.noncentral_f
+
+|numpy.random.normal
+|numpy.random.Generator.normal
+
+|numpy.random.pareto
+|numpy.random.Generator.pareto
+
+|numpy.random.permutation
+|numpy.random.Generator.permutation
+
+|numpy.random.poisson
+|numpy.random.Generator.poisson
+
+|numpy.random.power
+|numpy.random.Generator.power
+
+|numpy.random.rand
+|numpy.random.Generator.random
+
+|numpy.random.randint
+|numpy.random.Generator.integers
+
+|numpy.random.randn
+|numpy.random.Generator.standard_normal
+
+|numpy.random.random
+|numpy.random.Generator.random
+
+|numpy.random.random_integers
+|numpy.random.Generator.integers
+
+|numpy.random.random_sample
+|numpy.random.Generator.random
+
+|numpy.random.ranf
+|numpy.random.Generator.random
+
+|numpy.random.rayleigh
+|numpy.random.Generator.rayleigh
+
+|numpy.random.sample
+|numpy.random.Generator.random
+
+|numpy.random.seed
+|numpy.random.default_rng
+
+|numpy.random.set_state
+| -
+
+|numpy.random.shuffle
+|numpy.random.Generator.shuffle
+
+|numpy.random.standard_cauchy
+|numpy.random.Generator.standard_cauchy
+
+|numpy.random.standard_exponential
+|numpy.random.Generator.standard_exponential
+
+|numpy.random.standard_gamma
+|numpy.random.Generator.standard_gamma
+
+|numpy.random.standard_normal
+|numpy.random.Generator.standard_normal
+
+|numpy.random.standard_t
+|numpy.random.Generator.standard_t
+
+|numpy.random.triangular
+|numpy.random.Generator.triangular
+
+|numpy.random.uniform
+|numpy.random.Generator.uniform
+
+|numpy.random.vonmises
+|numpy.random.Generator.vonmises
+
+|numpy.random.wald
+|numpy.random.Generator.wald
+
+|numpy.random.weibull
+|numpy.random.Generator.weibull
+
+|numpy.random.zipf 
+|numpy.random.Generator.zipf 
+|===
+
+
+
 == How to fix it
 
 To fix this issue, replace usages of `numpy.random.RandomState` to `numpy.random.Generator`.