As far as I know the option Log=True in the histogram function only refers to the y-axis.

```
P.hist(d,bins=50,log=True,alpha=0.5,color='b',histtype='step')
```

I need the bins to be equally spaced in log10. Is there something that can do this?

use logspace() to create a geometric sequence, and pass it to bins parameter. And set the scale of xaxis to log scale.

```
import pylab as pl
import numpy as np
data = np.random.normal(size=10000)
pl.hist(data, bins=np.logspace(np.log10(0.1),np.log10(1.0), 50))
pl.gca().set_xscale("log")
pl.show()
```

The most direct way is to just compute the log10 of the limits, compute linearly spaced bins, and then convert back by raising to the power of 10, as below:

```
import pylab as pl
import numpy as np
data = np.random.normal(size=10000)
MIN, MAX = .01, 10.0
pl.figure()
pl.hist(data, bins = 10 ** np.linspace(np.log10(MIN), np.log10(MAX), 50))
pl.gca().set_xscale("log")
pl.show()
```

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