Ignore "You are using [hist/kde] as a plot kind" warnings (#342)

* Ignore "You are using [hist/kde] as a plot kind" warnings

* hedge bets that #341 will merge first lol

README.rst

@@ -2,7 +2,7 @@
 anesthetic: nested sampling post-processing
 ===========================================
 :Authors: Will Handley and Lukas Hergt
-:Version: 2.3.3
+:Version: 2.3.4
 :Homepage: https://github.com/handley-lab/anesthetic
 :Documentation: http://anesthetic.readthedocs.io/
 

anesthetic/_version.py

@@ -1 +1 @@
-__version__ = '2.3.3'
+__version__ = '2.3.4'

tests/test_samples.py

@@ -1,6 +1,7 @@
 import anesthetic.examples._matplotlib_agg  # noqa: F401
 
 import pytest
+from contextlib import nullcontext
 from math import floor, ceil
 import numpy as np
 from pandas import MultiIndex
@@ -823,15 +824,18 @@ def test_stats():
 def test_masking_1d(kind):
     pc = read_chains("./tests/example_data/pc")
     mask = pc['x0'].to_numpy() > 0
-    pc[mask].plot_1d(['x0', 'x1', 'x2'], kind=kind)
+    with pytest.warns(UserWarning) if kind in ['kde',
+                                               'hist'] else nullcontext():
+        pc[mask].plot_1d(['x0', 'x1', 'x2'], kind=kind)
 
 
 @pytest.mark.parametrize('kind', ['kde', 'scatter', 'scatter_2d', 'kde_2d',
                                   'hist_2d', skipif_no_fastkde('fastkde_2d')])
 def test_masking_2d(kind):
     pc = read_chains("./tests/example_data/pc")
     mask = pc['x0'].to_numpy() > 0
-    pc[mask].plot_2d(['x0', 'x1', 'x2'], kind={'lower': kind})
+    with pytest.warns(UserWarning) if kind == 'kde' else nullcontext():
+        pc[mask].plot_2d(['x0', 'x1', 'x2'], kind={'lower': kind})
 
 
 def test_merging():