I have a table like this.
user 01/12/15 02/12/15 someBool
u1 100 300 true
u2 200 -100 false
u3 -50 200
numpy
reconstruct the whole thingid_vars = ['user', 'someBool']
the_rest = df.columns.difference(id_vars).tolist()
m, n = len(df), len(the_rest)
var_slc = np.arange(m).repeat(n)
pd.DataFrame(
np.hstack([
df[id_vars].values[var_slc],
np.tile(the_rest, m)[:, None],
df[the_rest].values.reshape(-1, 1)
]), columns=id_vars + ['date', 'value']
)
user someBool date value
0 u1 True 01/12/15 100
1 u1 True 02/12/15 300
2 u2 False 01/12/15 200
3 u2 False 02/12/15 -100
4 u3 True 01/12/15 -50
5 u3 True 02/12/15 200