v0.10.0.md

@@ -32,14 +32,21 @@ To check that posterior samples can both be written to CSV and read back in usin
 
 ```python
 from pesummary.io import read
+import numpy as np
 
-f = read()
-f.write(file_format="csv", filename=".csv", outdir="./")
-g = read("./.csv")
-assert f.parameters == g.parameters
-assert f.samples == g.samples
+f = read(PATH)
+f.write(file_format="csv", filename="example_output.csv", outdir="./")
+g = read("./example_output.csv")
+assert sorted(f.parameters) == sorted(g.parameters)
+np.testing.assert_almost_equal(f.samples, g.samples)
+
+numpy = np.genfromtxt("./example_output.csv", delimiter=",", names=True)
+assert sorted(f.parameters) == sorted(list(numpy.dtype.names))
+np.testing.assert_almost_equal(f.samples, np.array([list(i) for i in numpy]))
 ```
 
+We ran this with `PATH` indicating the path to a `LALInference hdf5` file and a `bilby json` file and worked as expected.
+
 ## Reviewer comments
 
 # Preliminary watermark