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: