Matthias Michler wrote:
>
>
> #########################
> import numpy as np
> import matplotlib.pyplot as plt
>
> # generate some data on log-scale
> x = 10**np.random.uniform(size=1000)
> # histogram with log-bining
> plt.hist(x, bins=10**np.linspace(0, 1, 10))
> plt.xscale('log')
> plt.show()
> ##############################
>
>
Hi Matthias,
This is exactly what I need - I did not know about the xscale function.
Thanks!
Tom
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