How do I iterate through two data frames and perform a certain action when the values match?

Question

I have two data frames (df1,df2) and I want to iterate through both the data frames and match the key values in the two data frames. If matched I want to perform a specific action.

df1:
ID  Name   lat/long
1   xyz    (23,12)

df2:
ID   Store     lat/long
1    pharmacy  (23,13)

I want to iterate through the two df and find the distance between the two co ordinates where ID is the same.

Example if df1['id'] == df2['ID']: Find distance between two lat/lon

Answer 1

You haven't provided a lot of information in the question, so this might be off.

Assumptions:

df1 =
   ID Name  lat/long
0   1    A  (23, 12)
1   2    B  (24, 12)
2   3    C  (25, 12)
3  10    D  (30, 12)

df2 = 
   ID Store  lat/long
0   1     a  (23, 13)
1   2     b  (24, 13)
2   3     c  (25, 13)
3  11     e  (30, 13)

And: the columns lat/long contain tuples . If not do df1["lat/long"] = df1["lat/long"].map(eval) and the same for df2 .

Then this

from haversine import haversine

df3 = pd.merge(df1, df2, on="ID", how="inner")
df3["Distance"] = df3[["lat/long_x", "lat/long_y"]].apply(
    lambda row: haversine(*row),
    axis="columns"
)
df3 = df3.drop(columns=["lat/long_x", "lat/long_y"])

leads to

   ID Name Store    Distance
0   1    A     a  102.355413
1   2    B     b  101.581547
2   3    C     c  100.776739