Histogram of one field wrt another in pandas python -

i trying plot histogram distribution of 1 column respect another. example, if dataframe columns ['count','age'], want plot total counts in each age group. suppose in

age: 0-10 -> total count 20

age: 10-20 -> total count 10

age: 20-30 -> ... etc

i tried groupby('age') , plotting histogram didn't work.

thanks.

update

here of data

df.head()    age    count 0   65  2417.86 1   65  4173.50 2   65  3549.16 3   65   509.07 4   65     0.00 

also, df.plot( x='age', y='count', kind='hist') shows

ok,if understand correctly, want weighted histogram

import pylab plt import pandas pd np = pd.np  df = pd.dataframe( {'age':np.random.normal( 50,10,300).astype(int),                     'counts':1000*np.random.random(300)} ) # test data #df.head() #   age      counts #0   38  797.174450 #1   36  402.171434 #2   49  894.218420 #3   66  841.786623 #4   51  597.040259  df.hist('age',weights=df['counts'] ) plt.ylabel('counts') plt.show() 

yields figure