I have these data structures:

```
X axis values:
delta_Array = np.array([1000,2000,3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000])
Y Axis values
error_matrix =
[[ 24.22468454 24.22570421 24.22589308 24.22595919 24.22598979
24.22600641 24.22601644 24.22602294 24.2260274 24.22603059]
[ 28.54275713 28.54503017 28.54545119 28.54559855 28.54566676
28.54570381 28.54572615 28.54574065 28.5457506 28.54575771]]
```

How do I plot them as a line plot using matplotlib and python

This code I came up with renders a flat line as follows figure(3) i = 0

```
for i in range(error_matrix.shape[0]):
plot(delta_Array, error_matrix[i,:])
title('errors')
xlabel('deltas')
ylabel('errors')
grid()
show()
```

The problem here looks like is scaling of the axes. But im not sure how to fix it. Any ideas, suggestions how to get the curvature showing up properly?

You could use `ax.twinx`

to create twin axes:

```
import matplotlib.pyplot as plt
import numpy as np
delta_Array = np.array([1000,2000,3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000])
error_matrix = np.array(
[[ 24.22468454, 24.22570421, 24.22589308, 24.22595919, 24.22598979, 24.22600641, 24.22601644, 24.22602294, 24.2260274, 24.22603059],
[ 28.54275713, 28.54503017, 28.54545119, 28.54559855, 28.54566676, 28.54570381, 28.54572615, 28.54574065, 28.5457506, 28.54575771]])
fig = plt.figure()
ax = []
ax.append(fig.add_subplot(1, 1, 1))
ax.append(ax[0].twinx())
colors = ('red', 'blue')
for i,c in zip(range(error_matrix.shape[0]), colors):
ax[i].plot(delta_Array, error_matrix[i,:], color = c)
plt.show()
```

yields

The red line corresponds to `error_matrix[0, :]`

, the blue with `error_matrix[1, :]`

.

Another possibility is to plot the ratio `error_matrix[0, :]/error_matrix[1, :]`

.