Histogram¶

>>> df=DataFrame()
>>> df.read_tbl('data/words~ageXcondition.csv')
>>> D = df.histogram('WORDS')
>>> print(D)
Cumulative Histogram for WORDS
 Bins    Values
================
 3.000     4.000
 5.000    18.000
 7.000    35.000
 9.000    47.000
11.000    62.000
13.000    72.000
15.000    81.000
17.000    86.000
19.000    92.000
21.000   100.000
23.000

>>> from pyvttbl.stats import Histogram
>>> form random import normalvariate
>>> data = [normalvariate(mu=0,sigma=1) for i in xrange(1000)]
>>> hist = Histogram()
>>> hist.run(data, bins=20)
>>> print(hist)
Histogram for
 Bins    Values
================
-2.562     4.000
-2.280    11.000
-1.999    25.000
-1.717    21.000
-1.435    40.000
-1.153    90.000
-0.872    93.000
-0.590    84.000
-0.308   107.000
-0.027   121.000
 0.255   101.000
 0.537    88.000
 0.819    87.000
 1.100    39.000
 1.382    38.000
 1.664    26.000
 1.945    10.000
 2.227     8.000
 2.509     4.000
 2.791     3.000
 3.072
>>> hist.run(data, bins=20, cumulative=True)
>>> print(hist)
Cumulative Histogram for
 Bins     Values
=================
-2.562      4.000
-2.280     15.000
-1.999     40.000
-1.717     61.000
-1.435    101.000
-1.153    191.000
-0.872    284.000
-0.590    368.000
-0.308    475.000
-0.027    596.000
 0.255    697.000
 0.537    785.000
 0.819    872.000
 1.100    911.000
 1.382    949.000
 1.664    975.000
 1.945    985.000
 2.227    993.000
 2.509    997.000
 2.791   1000.000
 3.072