# Log scales in GWpy¶

GWpy overrides the default `axis tick formatters`

for logarithmic scales to one with the following logic:

`0.1 <= x <= 1000`

and`x`

has less than 2 decimal places, just represent with`'%s'`

otherwise use the default formatting

`'%s^{%.2f}' % (base, logx)`

This results in plots that have slightly nicer default ticks:

```
>>> import gwpy # <-- import anything from gwpy to active custom formatter
>>> import numpy
>>> from matplotlib import pyplot
>>> fig = pyplot.figure()
>>> ax = fig.gca()
>>> ax.plot(numpy.arange(.1, 5, step=.1))
>>> ax.set_xscale('log')
>>> ax.set_yscale('log')
>>> fig.show()
```

(`png`

)

Here you can see the X-axis formats with the updated ticks, showing ‘1’
and ‘10’ instead of ‘10 ^{0}’ and ‘10 ^{1}’, while the Y-axis –
because it has ticks below 0.01 – uses the standard scientific notation.

The new log formatter can be disabled by manually setting the major and
minor formatters for log-scaled axes to
`LogFormatterMathtext`

:

```
>>> from matplotlib.ticker import LogFormatterMathtext
>>> ax.yaxis.set_major_formatter(LogFormatterMathtext())
```