How can I compute the area of overlap of 2 histograms?

I would like to get the area of overlap of 2 histograms.

I was able to extract the histogram data of my 2 datasets (from similar columns of 2 dataframes). I also used density = True so that the area under the curve would be 1.

hist_data1, bin_edges1 = np.histogram(data1.iloc[:, 1], bins = 50, density = True)hist_data2, bin_edges2 = np.histogram(data2.iloc[:, 1], bins = 50, density = True)

I am trying to follow the method used here:

def histogram_intersection(h1, h2, bins):    bins = numpy.diff(bins)    sm = 0    for i in range(len(bins)):        sm += min(bins[i]*h1[i], bins[i]*h2[i])    return sm

However, bin_edges1 may not be the exactly the same as in bin_edges2 so there is no uniform bins that can be used in histogram_intersection(). How can I use the above method such that the bins would be uniform?