Your table has many columns, and you want to know the position of a specific column in the table. How can you do that? Below is a dataframe showing cereal brands.
shape: (5, 17)
name
mfr
type
calories
protein
fat
sodium
fiber
carbo
sugars
potass
vitamins
shelf
weight
cups
rating
cereal
str
str
str
i64
i64
i64
i64
f64
f64
i64
i64
i64
str
f64
f64
f64
i64
"Total Corn Flakes"
"General Mills"
"Cold"
110
2
1
200
0.0
21.0
3
35
100
"Top"
1.0
1.0
38.84
1
"Fruity Pebbles"
"Post"
"Cold"
110
1
1
135
0.0
13.0
12
25
25
"Middle"
1.0
0.75
28.03
1
"Smacks"
"Kellogs"
"Cold"
110
2
1
70
1.0
9.0
15
40
25
"Middle"
1.0
0.75
31.23
1
"Triples"
"General Mills"
"Cold"
110
2
1
250
0.0
21.0
3
60
25
"Top"
1.0
0.75
39.11
1
"Post Nat. Raisin Bran"
"Post"
"Cold"
120
3
1
200
6.0
11.0
14
260
25
"Top"
1.33
0.67
37.84
1
Get index position of column
To get the index position of the cereal column, use the Polars method get_column_index like this:
(df .get_column_index('cereal') )
16
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