```python

import matplotlib.pyplot as plt

import numpy as np

import matplotlib.ticker

t = np.logspace(0, 4, 10)

fig = plt.figure()

ax = fig.add_subplot()

ax.loglog(t, t**3)

enough_ticks = matplotlib.ticker.LogLocator(numticks=15)

ax.yaxis.set_major_locator(enough_ticks)

```

works, but you have to know how many ticks you want up front.

There are enough knobs on both LogFormatter and LogLocator that this seems like something that should be configurable, but I don't know how off the top of my head (and a very quick look at the source did not have an obvious path).

Tom

I am plotting with semilogy. I am getting the tick labels as powers of

10, which is what I want. However, because the range of data is large, the tick

labels are every 2 powers of 10, [10^-1, 10^-3 ...]

What's the easiest way to change so that the tick labels are for each integer power of 10, [10^-1, 10^-2 ...]?

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