# Wasserstein distance for histograms

Hello,
How can one compute the Wasserstein distance between two histograms.
To be clear, what I mean with a histogram is, e.g., the following `h` :
`using StatsBase`
`x = randn(10^4)`
`h = fit(Histogram, x)`
Looking forward to any suggestion.

Including calling Python’s `wasserstein_distance()`?

The trick was to get the right synonym for Wasserstein distance. In this case earth mover distance. A little google gives:

``````https://github.com/mirkobunse/EarthMoversDistance.jl
``````

and following the instructions on the README I was able to calculate a distance.
Thanks mirkobunse (Mirko Bunse).

Also, this thread might be relevant:

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