Get values from matplotlib AxesSubplot

As xnx pointed out in comments, this isn't as easily accessible as if you used plt.hist. However, if you really want to use the pandas hist function, you can get this information, from the patches that are added to the hist AxesSubplot when you call serie.hist.

Here's a function to loop through the patches, and return the bin edges and histogram counts:

import pandas as pd
import matplotlib.pyplot as plt

serie = pd.Series([0.0,950.0,-70.0,812.0,0.0,-90.0,0.0,0.0,-90.0,0.0,-64.0,208.0,0.0,-90.0,0.0,-80.0,0.0,0.0,-80.0,-48.0,840.0,-100.0,190.0,130.0,-100.0,-100.0,0.0,-50.0,0.0,-100.0,-100.0,0.0,-90.0,0.0,-90.0,-90.0,63.0,-90.0,0.0,0.0,-90.0,-80.0,0.0,])
hist = serie.hist()

def get_hist(ax):
    n,bins = [],[]
    for rect in ax.patches:
        ((x0, y0), (x1, y1)) = rect.get_bbox().get_points()
        n.append(y1-y0)
        bins.append(x0) # left edge of each bin
    bins.append(x1) # also get right edge of last bin

    return n,bins

n, bins = get_hist(hist)

print n
print bins

plt.show()

Here's the output of n and bins:

[36.0, 1.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 1.0]                          # n
[-100.0, 5.0, 110.0, 215.0, 320.0, 425.0, 530.0, 635.0, 740.0, 845.0, 950.0] # bins

And here's the histogram plot to check: