1 | initial version |

You could rescale the data before you plot it:

```
sage: data = [(t^2,t^3) for t in srange(1,10,.1)]
sage: L = line2d(data)
sage: L.show(figsize=[5,2])
```

```
sage: log_data = [(log(x[0]),log(x[1])) for x in data]
sage: M = line2d(log_data)
sage: M.show(figsize=[5,2])
```

If you want the tick marks to be logarithmic, the docstring for `M.show`

describes an option for using a matplotlib tick "locator".

```
sage: from matplotlib import ticker
sage: tloc = lambda m: ticker.LogLocator(subs=[m])
sage: M.show(figsize=[5,2],ticks=(tloc(4),tloc(1)))
```

To be honest though, I had a lot of trouble using the `LogLocator`

-- it doesn't seem completely polished, and may take a while to understand.

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