L1 = ['a','b','c','a','b','c']
L2 = ['Cat','Fish','Crow','Dog','Frog','Eagle']
Desired Output 1: D1 = {'a':['Cat','Dog'],
'b':['Fish','Frog'],
'c':['Crow','Eagle']}
Desired Output 2: DF1 = A B C
Cat Fish Crow
Dog Frog Eagle
I only used from a to c for reference, I've more than 100 columns in DataFrame.
Could someone please help me with this?
Try:
L1 = ["a", "b", "c", "a", "b", "c"]
L2 = ["Cat", "Fish", "Crow", "Dog", "Frog", "Eagle"]
out = {}
for a, b in zip(L1, L2):
out.setdefault(a, []).append(b)
print(out)
Prints:
{"a": ["Cat", "Dog"], "b": ["Fish", "Frog"], "c": ["Crow", "Eagle"]}
Then you can do:
out_df = pd.DataFrame(out)
out_df.columns = out_df.columns.str.upper()
print(out_df)
Prints:
A B C
0 Cat Fish Crow
1 Dog Frog Eagle
Here is a way by creating a blank dictionary and then appending each item to it.
l = list(set(l1))
d = {key:[] for key in l}
for i,j in zip(l1,l2):
d.get(i).append(j)
