Hi
I have a csv file like this
V0,V1,V2,V3
4,1,1,1
6,4,5,2
2,3,6,7
And I want to search two rows for a match and find the column. For
example, I want to search row[0] for 1 and row[1] for 5. The corresponding
column is V2 (which is the third column). Then I want to return the value
at row[2] and the found column. The result should be 6 then.
I can manually extract the specified rows (with index 0 and 1 which are
fixed) and manually iterate over them like arrays to find a match. Then I
key1 = 1
key2 = 5
row1 = df.iloc[0] # row=[4,1,1,1]
row2 = df.iloc[1] # row=[6,4,5,2]
for i in range(len(row1)):
if row1[i] == key1:
for j in range(len(row2)):
if row2[j] == key2:
res = df.iloc[:,j]
print(res) # 6
Is there any way to use built-in function for a more efficient code?
Regards,
Mahmood
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