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python matplotlib: istogramma

Con questa classe e matplotlib, creo un grafico “named bars”,
da una lista[(nome, valore),] o da un dizionario{nome: valore},
passatogli come argomento.

Utilizzando molto sqlite ho considerato le liste nel formato
tipico del metodo fetchall().


import numpy as np
import matplotlib.pyplot as plt

class Bars(object):
    def __init__(self, data = {}):
        if type (data) == dict:
            print "dict"
            self.data = data
        elif type(data) == list:
            self.data = {}
            print "list"
            for item in data:
                self.data[item[0]] = item[1]
            print "'%s' in ingresso errato: necessari Liste o Dizionari" %type(data) 
            n_bars = len(self.data)
            pts = self.data.values()
            teams = self.data.keys()
            ind = np.arange(n_bars)     # the x locations for bar
            width = 0.2                 # the width of the bars
            bars = plt.bar(ind + 0.2, pts, width, color='b', align = 'center')
            plt.xticks(ind + width , teams, size = 'x-small', rotation = 15)
            for bar in bars:
                val = int(bar.get_height())
                x_pos = bar.get_x() + 0.4
                y_pos = bar.get_height() - 0.1 * bar.get_height()
                plt.text(x_pos, y_pos, '%d'%val, ha='center', va='bottom',
                         size = 'small', rotation = 90)
        except AttributeError:
            print "Grafico non rappresentabile, controllare dato in ingresso"

if __name__ == '__main__':
#    data = 'str'
#    data = {'Boy SAN': 100, 'Cioppersson': 105, 'Stella Blu Kativeria': 120, 'Pippo': 180,
#            'MiddleSboron': 98, 'Nizzi': 140, 'F.C.Zipangolo': 165, 'Real Ancona': 135,
#            'Gnagna': 88, 'Cento': 98}
    data = [('Boy SAN', 100), ('Cioppersson', 105), ('Stella Blu Kativeria', 120), ('Pippo', 180),
            ('MiddleSboron', 98), ('Nizzi', 140), ('F.C.Zipangolo', 165), ('Real Ancona', 135),
            ('Gnagna', 88), ('Cento', 98)]
    hg = Bars(data)

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