diff --git a/.pylintrc b/.pylintrc
index ac07e07cc7..7c1aa5fe1b 100644
--- a/.pylintrc
+++ b/.pylintrc
@@ -63,7 +63,11 @@ disable=missing-docstring,
         too-many-statements,
         no-self-use,
         too-few-public-methods,
-        bad-continuation
+        bad-continuation,
+        import-outside-toplevel,
+        no-else-continue,
+        unnecessary-comprehension,
+        unsubscriptable-object
 
 
 # Enable the message, report, category or checker with the given id(s). You can
diff --git a/arviz/tests/helpers.py b/arviz/tests/helpers.py
index 58bd8f027b..09e7d3f49c 100644
--- a/arviz/tests/helpers.py
+++ b/arviz/tests/helpers.py
@@ -1,4 +1,4 @@
-# pylint: disable=redefined-outer-name
+# pylint: disable=redefined-outer-name, comparison-with-callable
 """Test helper functions."""
 import gzip
 import importlib
@@ -242,7 +242,7 @@ def emcee_schools_model(data, draws, chains):
     ndim = J + 2
 
     pos = np.random.normal(size=(chains, ndim))
-    pos[:, 1] = np.absolute(pos[:, 1])
+    pos[:, 1] = np.absolute(pos[:, 1])  #  pylint: disable=unsupported-assignment-operation
 
     if emcee_version() < 3:
         sampler = emcee.EnsembleSampler(chains, ndim, _emcee_lnprob, args=(y, sigma))
diff --git a/arviz/tests/test_diagnostics.py b/arviz/tests/test_diagnostics.py
index 3f9062eb7f..1ba514ad5d 100644
--- a/arviz/tests/test_diagnostics.py
+++ b/arviz/tests/test_diagnostics.py
@@ -174,7 +174,7 @@ def test_rhat(self, data, var_names, method):
     def test_rhat_nan(self, method):
         """Confirm R-hat statistic returns nan."""
         data = np.random.randn(4, 100)
-        data[0, 0] = np.nan
+        data[0, 0] = np.nan  #  pylint: disable=unsupported-assignment-operation
         rhat_data = rhat(data, method=method)
         assert np.isnan(rhat_data)
         if method == "rank":
@@ -552,7 +552,7 @@ def test_mc_error_nan(self, size, ndim):
     @pytest.mark.parametrize("func", ("_conv_quantile", "_z_scale"))
     def test_nan_behaviour(self, func):
         data = np.random.randn(100, 4)
-        data[0, 0] = np.nan
+        data[0, 0] = np.nan  #  pylint: disable=unsupported-assignment-operation
         if func == "_conv_quantile":
             assert np.isnan(_conv_quantile(data, 0.5)).all(None)
         else:
diff --git a/arviz/tests/test_stats_utils.py b/arviz/tests/test_stats_utils.py
index 206dc09542..7388290987 100644
--- a/arviz/tests/test_stats_utils.py
+++ b/arviz/tests/test_stats_utils.py
@@ -1,4 +1,5 @@
 """Tests for stats_utils."""
+#  pylint: disable=no-member
 import numpy as np
 from numpy.testing import assert_array_almost_equal
 import pytest
@@ -182,7 +183,7 @@ def test_nan(how):
 @pytest.mark.parametrize("axis", (-1, 0, 1))
 def test_nan_axis(axis):
     data = np.random.randn(4, 100)
-    data[0, 0] = np.nan
+    data[0, 0] = np.nan  #  pylint: disable=unsupported-assignment-operation
     axis_ = (len(data.shape) + axis) if axis < 0 else axis
     assert not_valid(data, check_shape=False, nan_kwargs=dict(how="any"))
     assert not_valid(data, check_shape=False, nan_kwargs=dict(how="any", axis=axis)).any()