Manipolazione dei dati in Julia
Katerina Zahradova
Instructor
Colonna
Righe
=> usa ByRow()
# Converti da mm a pollici
transform(penguins, :flipper_length_mm => ByRow(x -> x/25.4) => :flipper_length_inch)
333x8 DataFrame
Row species island ... body_mass_g sex flipper_lenght_inch
String15 String15 ... Int64 String7 Float64
___________________________________________________________________
1 Adelie Torgersen ... 3750 MALE 7.12598
2 Adelie Torgersen ... 3800 FEMALE 7.32283
...
# Seleziona colonne e calcola il loro rapporto
select(penguins,:culmen_depth_mm, :culmen_length_mm,
[:culmen_depth_mm, :culmen_length_mm] => ByRow((x, y) -> x/y) => :culmen_ratio)
333x3 DataFrame
Row culmen_depth_mm culmen_length_mm culmen_ratio
Float64 Float64 Float64
_____________________________________________________
1 18.7 39.1 0.478261
2 17.4 39.5 0.440506
...
# Vettore id_vec da aggiungere# Con [] e : penguins[:, :id_colon] = id_vec# Con [] e ! penguins[!, :id_exclamation] = id_vec# Con . penguins.id_dot = id_vec
penguins[:, :id_colon] = id_vec
penguins[!, :id_exclamation] = id_vec
penguins.id_dot = id_vec
# Cambia il primo elemento
id_vec[1] = 27
select(penguins, :species, r"id")
333x4 DataFrame
Row species id_colon id_exclamation id_dot
String15 Int64 Int64 Int64
_____________________________________________________
1 Adelie 25 27 27
...
penguins[:, :id_colon] = id_vec # copia i valori nel DataFrame
penguins[!, :id_exclamation] = id_vec # riferisce a id_vec
penguins.id_dot = id_vec # riferisce a id_vec
# Cambia il primo elemento
id_vec[1] = 27
select(penguins, :species, r"id")
333x4 DataFrame
Row species id_colon id_exclamation id_dot
String15 Int64 Int64 Int64
_____________________________________________________
1 Adelie 25 27 27
...
Manipolazione dei dati in Julia