Why matplotlib.pyplot showed the big spaces for hidden data?

Nobody has claimed this yet.

Hello.

The issue discussed in:
http://stackoverflow.com/questions/33706477/why-matplotlib-pyplot-showed-the-big-spaces-for-hidden-data

Briefly:
The code shows not all lines:

```
import numpy as np
import matplotlib.pyplot as plt
plt.figure()
rand_len = np.random.rand(500)
rand_space = np.random.rand(500)
last_pos = 0.0
for i in range(len(rand_len)):
plt.plot([last_pos, last_pos + 10*rand_len[i]], [1,1],'k-',linewidth=3.0)
last_pos += 10*rand_len[i] + 1000*rand_space[i]
plt.grid()
plt.show()
```

For understand the questions more closely try to use matlab code:

```
clear all;
close all;
rand_len = rand(1,500);
rand_space = rand(1,500);
last_pos = 0.0;

figure;
hold on;
for i=1:length(rand_len)
plot([last_pos, last_pos + 10*rand_len(i)],[1,1],'k-','LineWidth', 3);
last_pos = last_pos + 10*rand_len(i) + 1000*rand_space(i);
end;
```

Reproduce the behavior with the Python example using matplotlib.pyplot.plot and pyplot.show, then compare the plotted x coordinates with the MATLAB example. Trace how the supplied coordinates and axis limits are rendered; done means explaining the differing result or identifying a concrete, testable matplotlib change.

Written by the indexing model from the issue text.