no data exclution and unique combination.
MRAB
python at mrabarnett.plus.com
Tue Jul 24 14:51:34 EDT 2012
More information about the Python-list mailing list
Tue Jul 24 14:51:34 EDT 2012
- Previous message (by thread): no data exclution and unique combination.
- Next message (by thread): no data exclution and unique combination.
- Messages sorted by: [ date ] [ thread ] [ subject ] [ author ]
On 24/07/2012 19:27, giuseppe.amatulli at gmail.com wrote: > Hi, > would like to take eliminate a specific number in an array and its correspondent in an other array, and vice-versa. > > given > > a=np.array([1,2,4,4,5,4,1,4,1,1,2,4]) > b=np.array([1,2,3,5,4,4,1,3,2,1,3,4]) > > no_data_a=1 > no_data_b=2 > > a_clean=array([4,4,5,4,4,4]) > b_clean=array([3,5,4,4,3,4]) > > after i need to calculate unique combination in pairs to count the observations > and obtain > (4,3,2) > (4,5,1) > (5,4,1) > (4,4,2) > > For the fist task i did > > a_No_data_a = a[a != no_data_a] > b_No_data_a = b[a != no_data_a] > > b_clean = b_No_data_a[b_No_data_a != no_data_b] > a_clean = a_No_data_a[a_No_data_a != no_data_b] > > but the results are not really stable. > mask = (a != no_data_a) & (b != no_data_b) a_clean = a[mask] b_clean = b[mask] > For the second task > The np.unique would solve the problem if it can be apply to a two arrays. >
- Previous message (by thread): no data exclution and unique combination.
- Next message (by thread): no data exclution and unique combination.
- Messages sorted by: [ date ] [ thread ] [ subject ] [ author ]
More information about the Python-list mailing list