DUBeat  1.0.1
High-order discontinuous Galerkin methods and applications to cardiac electrophysiology
generate_convergence_plots Namespace Reference

Variables

 errors = pd.read_csv("../errors_Laplace_3D_u.data", sep='\t')
 
 n = errors.shape[0]
 
 x = np.logspace(-2, -n, num=n, base=2.0)
 
 k = errors[0,0]
 
 ax = plt.axes()
 
 marker
 
 linestyle
 
 label
 

Variable Documentation

◆ ax

generate_convergence_plots.ax = plt.axes()

Definition at line 51 of file generate_convergence_plots.py.

◆ errors

generate_convergence_plots.errors = pd.read_csv("../errors_Laplace_3D_u.data", sep='\t')

Definition at line 37 of file generate_convergence_plots.py.

◆ k

generate_convergence_plots.k = errors[0,0]

Definition at line 49 of file generate_convergence_plots.py.

◆ label

generate_convergence_plots.label

Definition at line 52 of file generate_convergence_plots.py.

◆ linestyle

generate_convergence_plots.linestyle

Definition at line 52 of file generate_convergence_plots.py.

◆ marker

generate_convergence_plots.marker

Definition at line 52 of file generate_convergence_plots.py.

◆ n

generate_convergence_plots.n = errors.shape[0]

Definition at line 41 of file generate_convergence_plots.py.

◆ x

generate_convergence_plots.x = np.logspace(-2, -n, num=n, base=2.0)

Definition at line 46 of file generate_convergence_plots.py.