On 14/08/2021 00:33, John Griner wrote:
Hello, and thanks in advance,
I am trying to recode categorical variable to numeric. Despite using
lambda, If else, dummy-recoding, and so forth, what I get is from ONE
column that has 4 variables (City, Town, Suburb, Rural), I get FOUR columns:
localeDummy_City localeDummy_Town localeDummy_Suburb
localeDummy_Rural locale_recode
with the corresponding numeric variable.
What I want is the recode to have ONE column that has the numeric
conversion.
For instance:
local_recode
2
4
4
6
2
8
6
2
8
2
2
4
6
4
8
and so forth, where I have set City to 2, and Town to 4, etc.
Again, thanks, John
My crystal ball says you want
import pandas
df = pandas.DataFrame(
[
[("City", "Suburb")],
[("Town", "City", "Suburb")],
[("Rural",)]
],
columns=["before"]
)
flags = dict(
City=1,
Town=2,
Suburb=4,
Rural=8
)
df["after"] = df["before"].apply(
lambda names: sum(flags[name] for name in set(names))
)
print(df)
If that's not it show us your failing code, preferably as a small
self-contained script that also generates the required input data. Use
cut and paste, and include it into the message body as attachments are
usually removed.
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