>>> from satisfaccio import *

>>> nomf = 'satisfaccio.csv'
>>> df = llegir_csv(nomf)
>>> df
   P1  P2  P3  P4  P5  P6  P7  P8  P9  P10
0   1   1   1   5   5   4   5   2   1    3
1   4   5   5   1   1   3   5   3   2    4
2   3   5   3   5   1   2   5   4   1    4
3   3   5   3   4   2   1   5   1   3    3

>>> selecciona_index(df, 2, 'P3')
3
	     
>>> selecciona_fila(df, 2)
P1     3
P2     5
P3     3
P4     5
P5     1
P6     2
P7     5
P8     4
P9     1
P10    4
Name: 2, dtype: int64

>>> dsel = selecciona_parell(df)
>>> dsel
   P1  P2  P3  P4  P5  P6  P7  P8  P9  P10
0   1   1   1   5   5   4   5   2   1    3
2   3   5   3   5   1   2   5   4   1    4

>>> dsel = selecciona_columnes(df, ['P1', 'P2', 'P3'])
>>> dsel
   P1  P2  P3
0   1   1   1
1   4   5   5
2   3   5   3
3   3   5   3

>>> dsel = selecciona_valor(df, 'P1', 3)
>>> dsel
   P1  P2  P3  P4  P5  P6  P7  P8  P9  P10
2   3   5   3   5   1   2   5   4   1    4
3   3   5   3   4   2   1   5   1   3    3

>>> mit, des = estadistiques(df, 'P4')
>>> round(mit, 3), round(des, 3)
(3.75, 1.893)

>>> pmv = mes_valorada(df)
>>> pmv
'P7'

>>> est = totes_estadistiques(df)
>>> est.index
Index(['count', 'mean', 'std', 'min', '25%', '50%', '75%', 'max'], dtype='object')
>>> est[['P1', 'P10']]
             P1      P10
count  4.000000  4.00000
mean   2.750000  3.50000
std    1.258306  0.57735
min    1.000000  3.00000
25%    2.500000  3.00000
50%    3.000000  3.50000
75%    3.250000  4.00000
max    4.000000  4.00000
>>> est.loc['std']
P1     1.258306
P2     2.000000
P3     1.632993
P4     1.892969
P5     1.892969
P6     1.290994
P7     0.000000
P8     1.290994
P9     0.957427
P10    0.577350
Name: std, dtype: float64
>>> float(est.loc['std'].sum())
12.794004072685