Trying to get plotting working

doc/tuto_GP_regression.rst

@@ -9,14 +9,13 @@ Gaussian process regression tutorial
 
 .. plot::
 
-   import matplotlib.pyplot as plt
-   import numpy as np
-   x = np.random.randn(1000)
-   plt.hist( x, 20)
-   plt.grid()
-   plt.title(r'Normal: $\mu=%.2f, \sigma=%.2f$'%(x.mean(), x.std()))
-   plt.show()
-
+    import matplotlib.pyplot as plt
+    import numpy as np
+    x = np.random.randn(1000)
+    plt.hist( x, 20)
+    plt.grid()
+    plt.title(r'Normal: $\mu=%.2f, \sigma=%.2f$'%(x.mean(), x.std()))
+    plt.show()
 
 
 We will see in this tutorial the basics for building a 1 dimensional and a 2 dimensional Gaussian process regression model, also known as a kriging model.